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You searched for subject:(Music classification). Showing records 1 – 30 of 129 total matches.

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University of Miami

1. Hu, Yajie. A Music Recommendation System Based on User Behaviors and Genre Classification.

Degree: MS, Computer Science (Arts and Sciences), 2012, University of Miami

  This thesis presents a new approach to recommend suitable tracks from a collection of songs to the user. The goal of the system is… (more)

Subjects/Keywords: Music Recommend; Genre Classification

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hu, Y. (2012). A Music Recommendation System Based on User Behaviors and Genre Classification. (Thesis). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_theses/336

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hu, Yajie. “A Music Recommendation System Based on User Behaviors and Genre Classification.” 2012. Thesis, University of Miami. Accessed November 21, 2019. https://scholarlyrepository.miami.edu/oa_theses/336.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hu, Yajie. “A Music Recommendation System Based on User Behaviors and Genre Classification.” 2012. Web. 21 Nov 2019.

Vancouver:

Hu Y. A Music Recommendation System Based on User Behaviors and Genre Classification. [Internet] [Thesis]. University of Miami; 2012. [cited 2019 Nov 21]. Available from: https://scholarlyrepository.miami.edu/oa_theses/336.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hu Y. A Music Recommendation System Based on User Behaviors and Genre Classification. [Thesis]. University of Miami; 2012. Available from: https://scholarlyrepository.miami.edu/oa_theses/336

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Lethbridge

2. Ghasemaghai, Zahra. Analyzing and improving genre and style classification in music through experiments .

Degree: 2014, University of Lethbridge

Music classification is a core task in the field of Music Information Retrieval (MIR). Classification refers to recognizing patterns in data. Music classification assigns genre,… (more)

Subjects/Keywords: algorithms; music classification; music data; music information retrieval

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ghasemaghai, Z. (2014). Analyzing and improving genre and style classification in music through experiments . (Thesis). University of Lethbridge. Retrieved from http://hdl.handle.net/10133/3639

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ghasemaghai, Zahra. “Analyzing and improving genre and style classification in music through experiments .” 2014. Thesis, University of Lethbridge. Accessed November 21, 2019. http://hdl.handle.net/10133/3639.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ghasemaghai, Zahra. “Analyzing and improving genre and style classification in music through experiments .” 2014. Web. 21 Nov 2019.

Vancouver:

Ghasemaghai Z. Analyzing and improving genre and style classification in music through experiments . [Internet] [Thesis]. University of Lethbridge; 2014. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/10133/3639.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ghasemaghai Z. Analyzing and improving genre and style classification in music through experiments . [Thesis]. University of Lethbridge; 2014. Available from: http://hdl.handle.net/10133/3639

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade Nova

3. Almeida, Hugo Ricardo da Costa. Automatic cymbal classification.

Degree: 2010, Universidade Nova

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Engenharia Informática

Most of… (more)

Subjects/Keywords: Automatic classification; Cymbal classification; Music classification; Music information retrieval (MIR); Drum kit; Cymbals

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APA (6th Edition):

Almeida, H. R. d. C. (2010). Automatic cymbal classification. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/4923

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Almeida, Hugo Ricardo da Costa. “Automatic cymbal classification.” 2010. Thesis, Universidade Nova. Accessed November 21, 2019. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/4923.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Almeida, Hugo Ricardo da Costa. “Automatic cymbal classification.” 2010. Web. 21 Nov 2019.

Vancouver:

Almeida HRdC. Automatic cymbal classification. [Internet] [Thesis]. Universidade Nova; 2010. [cited 2019 Nov 21]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/4923.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Almeida HRdC. Automatic cymbal classification. [Thesis]. Universidade Nova; 2010. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/4923

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Tampere University

4. Khartanovich, Margarita. The current state and future forms of Russian music magazines .

Degree: 2015, Tampere University

 This Master Thesis aims to reflect the current state of Russian music magazines, identify the reasons for the lack of their success and discover appropriate… (more)

Subjects/Keywords: music journalism; music magazines in Russia; field theory; Artistotle's classification of causes; music media; music criticism; music journalists; music critics

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APA (6th Edition):

Khartanovich, M. (2015). The current state and future forms of Russian music magazines . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/97110

Chicago Manual of Style (16th Edition):

Khartanovich, Margarita. “The current state and future forms of Russian music magazines .” 2015. Masters Thesis, Tampere University. Accessed November 21, 2019. https://trepo.tuni.fi/handle/10024/97110.

MLA Handbook (7th Edition):

Khartanovich, Margarita. “The current state and future forms of Russian music magazines .” 2015. Web. 21 Nov 2019.

Vancouver:

Khartanovich M. The current state and future forms of Russian music magazines . [Internet] [Masters thesis]. Tampere University; 2015. [cited 2019 Nov 21]. Available from: https://trepo.tuni.fi/handle/10024/97110.

Council of Science Editors:

Khartanovich M. The current state and future forms of Russian music magazines . [Masters Thesis]. Tampere University; 2015. Available from: https://trepo.tuni.fi/handle/10024/97110


University of Illinois – Urbana-Champaign

5. Hu, Xiao. Improving music mood classification using lyrics, audio and social tags.

Degree: PhD, 0370, 2011, University of Illinois – Urbana-Champaign

 The affective aspect of music (popularly known as music mood) is a newly emerging metadata type and access point to music information, but it has… (more)

Subjects/Keywords: Music mood classification; Music; Mood; Metadata; Social tags; Lyrics; Affect analysis; Multimodal classification; Emotion theories; Music mood categories; Music information retrieval

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hu, X. (2011). Improving music mood classification using lyrics, audio and social tags. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18435

Chicago Manual of Style (16th Edition):

Hu, Xiao. “Improving music mood classification using lyrics, audio and social tags.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 21, 2019. http://hdl.handle.net/2142/18435.

MLA Handbook (7th Edition):

Hu, Xiao. “Improving music mood classification using lyrics, audio and social tags.” 2011. Web. 21 Nov 2019.

Vancouver:

Hu X. Improving music mood classification using lyrics, audio and social tags. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/2142/18435.

Council of Science Editors:

Hu X. Improving music mood classification using lyrics, audio and social tags. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18435

6. Jensen, Mary Claire. Measuring Music Reading: A Guide to Assessment Methods .

Degree: 2016, University of Ottawa

Music reading is a complex skill. In order to better understand the reading process and evaluate the effects of teaching intervention, it is essential to… (more)

Subjects/Keywords: Music Reading; Sight Reading; Measurement; Assessment; Classification

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APA (6th Edition):

Jensen, M. C. (2016). Measuring Music Reading: A Guide to Assessment Methods . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/35540

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jensen, Mary Claire. “Measuring Music Reading: A Guide to Assessment Methods .” 2016. Thesis, University of Ottawa. Accessed November 21, 2019. http://hdl.handle.net/10393/35540.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jensen, Mary Claire. “Measuring Music Reading: A Guide to Assessment Methods .” 2016. Web. 21 Nov 2019.

Vancouver:

Jensen MC. Measuring Music Reading: A Guide to Assessment Methods . [Internet] [Thesis]. University of Ottawa; 2016. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/10393/35540.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jensen MC. Measuring Music Reading: A Guide to Assessment Methods . [Thesis]. University of Ottawa; 2016. Available from: http://hdl.handle.net/10393/35540

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Bowling Green State University

7. Pagan, Ellen M. College Choir Directors' and Voice Instructors' Techniques for Classifying Female Voices.

Degree: MM, Music Education/Choral Music Education, 2009, Bowling Green State University

  The purpose of this study was to determine college choir directors' and studio voice instructors' techniques for classifying female voices. Three groups of respondents… (more)

Subjects/Keywords: Music; Music Education; female; voice instructor; choir director; voice classification techniques

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pagan, E. M. (2009). College Choir Directors' and Voice Instructors' Techniques for Classifying Female Voices. (Masters Thesis). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1237398533

Chicago Manual of Style (16th Edition):

Pagan, Ellen M. “College Choir Directors' and Voice Instructors' Techniques for Classifying Female Voices.” 2009. Masters Thesis, Bowling Green State University. Accessed November 21, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1237398533.

MLA Handbook (7th Edition):

Pagan, Ellen M. “College Choir Directors' and Voice Instructors' Techniques for Classifying Female Voices.” 2009. Web. 21 Nov 2019.

Vancouver:

Pagan EM. College Choir Directors' and Voice Instructors' Techniques for Classifying Female Voices. [Internet] [Masters thesis]. Bowling Green State University; 2009. [cited 2019 Nov 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1237398533.

Council of Science Editors:

Pagan EM. College Choir Directors' and Voice Instructors' Techniques for Classifying Female Voices. [Masters Thesis]. Bowling Green State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1237398533


San Jose State University

8. Duggirala, Sharan. An Industry Driven Genre Classification Application using Natural Language Processing.

Degree: MS, Computer Science, 2019, San Jose State University

  With the advent of digitized music, many online streaming companies such as Spotify have capitalized on a listener’s need for a common stream platform.… (more)

Subjects/Keywords: music recommendation; music genre classification; Hierarchical Attention Networks; Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Duggirala, S. (2019). An Industry Driven Genre Classification Application using Natural Language Processing. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.gyyw-7de5 ; https://scholarworks.sjsu.edu/etd_projects/737

Chicago Manual of Style (16th Edition):

Duggirala, Sharan. “An Industry Driven Genre Classification Application using Natural Language Processing.” 2019. Masters Thesis, San Jose State University. Accessed November 21, 2019. https://doi.org/10.31979/etd.gyyw-7de5 ; https://scholarworks.sjsu.edu/etd_projects/737.

MLA Handbook (7th Edition):

Duggirala, Sharan. “An Industry Driven Genre Classification Application using Natural Language Processing.” 2019. Web. 21 Nov 2019.

Vancouver:

Duggirala S. An Industry Driven Genre Classification Application using Natural Language Processing. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2019 Nov 21]. Available from: https://doi.org/10.31979/etd.gyyw-7de5 ; https://scholarworks.sjsu.edu/etd_projects/737.

Council of Science Editors:

Duggirala S. An Industry Driven Genre Classification Application using Natural Language Processing. [Masters Thesis]. San Jose State University; 2019. Available from: https://doi.org/10.31979/etd.gyyw-7de5 ; https://scholarworks.sjsu.edu/etd_projects/737


Universidade Nova

9. Barreira, Luís Filipe Marques. Unsupervised automatic music genre classification.

Degree: 2010, Universidade Nova

Trabalho apresentado no âmbito do Mestrado em Engenharia Informática, como requisito parcial para obtenção do grau de Mestre em Engenharia Informática

In this study we… (more)

Subjects/Keywords: Automatic music genre classification; Audio indexing; Unsupervised classification

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Barreira, L. F. M. (2010). Unsupervised automatic music genre classification. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/4761

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Barreira, Luís Filipe Marques. “Unsupervised automatic music genre classification.” 2010. Thesis, Universidade Nova. Accessed November 21, 2019. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/4761.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Barreira, Luís Filipe Marques. “Unsupervised automatic music genre classification.” 2010. Web. 21 Nov 2019.

Vancouver:

Barreira LFM. Unsupervised automatic music genre classification. [Internet] [Thesis]. Universidade Nova; 2010. [cited 2019 Nov 21]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/4761.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Barreira LFM. Unsupervised automatic music genre classification. [Thesis]. Universidade Nova; 2010. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/4761

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Western Ontario

10. Rethazi, Andrew. Teaching Prospective Verdi Baritones: A Repertoire-Based Approach.

Degree: 2018, University of Western Ontario

 The Verdi baritone is one of the most sought-after voice types in the professional operatic sphere due to its leading presence in the Verdi repertoire.… (more)

Subjects/Keywords: Giuseppe Verdi; Baritone; Vocal Pedagogy; Voice Classification; Repertoire Study; Opera; Music Pedagogy; Music Performance

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rethazi, A. (2018). Teaching Prospective Verdi Baritones: A Repertoire-Based Approach. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/5448

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rethazi, Andrew. “Teaching Prospective Verdi Baritones: A Repertoire-Based Approach.” 2018. Thesis, University of Western Ontario. Accessed November 21, 2019. https://ir.lib.uwo.ca/etd/5448.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rethazi, Andrew. “Teaching Prospective Verdi Baritones: A Repertoire-Based Approach.” 2018. Web. 21 Nov 2019.

Vancouver:

Rethazi A. Teaching Prospective Verdi Baritones: A Repertoire-Based Approach. [Internet] [Thesis]. University of Western Ontario; 2018. [cited 2019 Nov 21]. Available from: https://ir.lib.uwo.ca/etd/5448.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rethazi A. Teaching Prospective Verdi Baritones: A Repertoire-Based Approach. [Thesis]. University of Western Ontario; 2018. Available from: https://ir.lib.uwo.ca/etd/5448

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Western Ontario

11. Sternin, Avital. Classifying music perception and imagination using EEG.

Degree: 2016, University of Western Ontario

 This study explored whether we could accurately classify perceived and imagined musical stimuli from EEG data. Successful EEG-based classification of what an individual is imagining… (more)

Subjects/Keywords: music perception; music imagination; classification; electroencephalography (EEG); machine learning; brain-computer interface (BCI); Cognitive Neuroscience

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sternin, A. (2016). Classifying music perception and imagination using EEG. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/3769

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sternin, Avital. “Classifying music perception and imagination using EEG.” 2016. Thesis, University of Western Ontario. Accessed November 21, 2019. https://ir.lib.uwo.ca/etd/3769.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sternin, Avital. “Classifying music perception and imagination using EEG.” 2016. Web. 21 Nov 2019.

Vancouver:

Sternin A. Classifying music perception and imagination using EEG. [Internet] [Thesis]. University of Western Ontario; 2016. [cited 2019 Nov 21]. Available from: https://ir.lib.uwo.ca/etd/3769.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sternin A. Classifying music perception and imagination using EEG. [Thesis]. University of Western Ontario; 2016. Available from: https://ir.lib.uwo.ca/etd/3769

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade de Lisboa

12. Bernardo, Alexandre. Features for the Classification and Clustering of Music in Symbolic Format.

Degree: 2008, Universidade de Lisboa

Music Information Retrieval is, nowadays, a highly active branch of research and development in the computer science field, and focuses several topics, including music genre… (more)

Subjects/Keywords: MIDI Track Classification; Genre Classification; Music Information Retrieval; Neural Networks; Machine Learning; Language Modeling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bernardo, A. (2008). Features for the Classification and Clustering of Music in Symbolic Format. (Thesis). Universidade de Lisboa. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/13947

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bernardo, Alexandre. “Features for the Classification and Clustering of Music in Symbolic Format.” 2008. Thesis, Universidade de Lisboa. Accessed November 21, 2019. http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/13947.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bernardo, Alexandre. “Features for the Classification and Clustering of Music in Symbolic Format.” 2008. Web. 21 Nov 2019.

Vancouver:

Bernardo A. Features for the Classification and Clustering of Music in Symbolic Format. [Internet] [Thesis]. Universidade de Lisboa; 2008. [cited 2019 Nov 21]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/13947.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bernardo A. Features for the Classification and Clustering of Music in Symbolic Format. [Thesis]. Universidade de Lisboa; 2008. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/13947

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade de Lisboa

13. Bernardo, Alexandre Miguel Entradas. Features for the Classification and Clustering of Music in Symbolic Format.

Degree: 2008, Universidade de Lisboa

 This document describes the work carried out under the discipline of Computing Engineering Project of the Computer Engineering Master, Sciences Faculty of the Lisbon University.… (more)

Subjects/Keywords: Language Modeling; MIDI Track Classification; Music Information Retrieval; Neural Networks; Genre Classification

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bernardo, A. M. E. (2008). Features for the Classification and Clustering of Music in Symbolic Format. (Thesis). Universidade de Lisboa. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/14010

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bernardo, Alexandre Miguel Entradas. “Features for the Classification and Clustering of Music in Symbolic Format.” 2008. Thesis, Universidade de Lisboa. Accessed November 21, 2019. http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/14010.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bernardo, Alexandre Miguel Entradas. “Features for the Classification and Clustering of Music in Symbolic Format.” 2008. Web. 21 Nov 2019.

Vancouver:

Bernardo AME. Features for the Classification and Clustering of Music in Symbolic Format. [Internet] [Thesis]. Universidade de Lisboa; 2008. [cited 2019 Nov 21]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/14010.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bernardo AME. Features for the Classification and Clustering of Music in Symbolic Format. [Thesis]. Universidade de Lisboa; 2008. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/14010

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universitat Pompeu Fabra

14. Sordo, Mohamed. Semantic annotation of music collections: A computational approach.

Degree: Departament de Tecnologies de la Informació i les Comunicacions, 2012, Universitat Pompeu Fabra

 El consumo de la música ha cambiado drásticamente en los últimos años. Con la llegada de la música digital, el coste de producción se ha… (more)

Subjects/Keywords: Music information retrieval; Music tagging; Semantic categorization; Audio tag classification; Folksonomies; Semantic space; Social music; 621.3; 004; 78

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APA (6th Edition):

Sordo, M. (2012). Semantic annotation of music collections: A computational approach. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/79132

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sordo, Mohamed. “Semantic annotation of music collections: A computational approach.” 2012. Thesis, Universitat Pompeu Fabra. Accessed November 21, 2019. http://hdl.handle.net/10803/79132.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sordo, Mohamed. “Semantic annotation of music collections: A computational approach.” 2012. Web. 21 Nov 2019.

Vancouver:

Sordo M. Semantic annotation of music collections: A computational approach. [Internet] [Thesis]. Universitat Pompeu Fabra; 2012. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/10803/79132.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sordo M. Semantic annotation of music collections: A computational approach. [Thesis]. Universitat Pompeu Fabra; 2012. Available from: http://hdl.handle.net/10803/79132

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

15. SHAO XI. Content-based music classification, summarization and retrieval.

Degree: 2007, National University of Singapore

Subjects/Keywords: music information retrieval; music classification; music summarization

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APA (6th Edition):

XI, S. (2007). Content-based music classification, summarization and retrieval. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/16228

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

XI, SHAO. “Content-based music classification, summarization and retrieval.” 2007. Thesis, National University of Singapore. Accessed November 21, 2019. http://scholarbank.nus.edu.sg/handle/10635/16228.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

XI, SHAO. “Content-based music classification, summarization and retrieval.” 2007. Web. 21 Nov 2019.

Vancouver:

XI S. Content-based music classification, summarization and retrieval. [Internet] [Thesis]. National University of Singapore; 2007. [cited 2019 Nov 21]. Available from: http://scholarbank.nus.edu.sg/handle/10635/16228.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

XI S. Content-based music classification, summarization and retrieval. [Thesis]. National University of Singapore; 2007. Available from: http://scholarbank.nus.edu.sg/handle/10635/16228

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


The Ohio State University

16. Shafer, Jennifer Christine. Classification and Pattern Extraction: Application of Wavelets in Music Analysis.

Degree: PhD, Music, 2016, The Ohio State University

 This project investigates the use of wavelets for pattern recognition in music, with applications to classification tasks and analysis. Wavelet analysis is a digital signal… (more)

Subjects/Keywords: Music; wavelet; pattern extraction; classification; Xenakis; Stockhausen; corpus

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APA (6th Edition):

Shafer, J. C. (2016). Classification and Pattern Extraction: Application of Wavelets in Music Analysis. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1460977726

Chicago Manual of Style (16th Edition):

Shafer, Jennifer Christine. “Classification and Pattern Extraction: Application of Wavelets in Music Analysis.” 2016. Doctoral Dissertation, The Ohio State University. Accessed November 21, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1460977726.

MLA Handbook (7th Edition):

Shafer, Jennifer Christine. “Classification and Pattern Extraction: Application of Wavelets in Music Analysis.” 2016. Web. 21 Nov 2019.

Vancouver:

Shafer JC. Classification and Pattern Extraction: Application of Wavelets in Music Analysis. [Internet] [Doctoral dissertation]. The Ohio State University; 2016. [cited 2019 Nov 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1460977726.

Council of Science Editors:

Shafer JC. Classification and Pattern Extraction: Application of Wavelets in Music Analysis. [Doctoral Dissertation]. The Ohio State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1460977726


Hong Kong University of Science and Technology

17. Su, Dan. Music emotion classification from audio and lyrics.

Degree: 2012, Hong Kong University of Science and Technology

 In this thesis, we propose using Adaboost with decision trees to implement music emotion classification (MEC) using both audio and lyrics featuers, and further propose… (more)

Subjects/Keywords: Music; Psychological aspects; Emotions; Classification; Data processing; Machine learning

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APA (6th Edition):

Su, D. (2012). Music emotion classification from audio and lyrics. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1198667 ; http://repository.ust.hk/ir/bitstream/1783.1-63084/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Su, Dan. “Music emotion classification from audio and lyrics.” 2012. Thesis, Hong Kong University of Science and Technology. Accessed November 21, 2019. https://doi.org/10.14711/thesis-b1198667 ; http://repository.ust.hk/ir/bitstream/1783.1-63084/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Su, Dan. “Music emotion classification from audio and lyrics.” 2012. Web. 21 Nov 2019.

Vancouver:

Su D. Music emotion classification from audio and lyrics. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2012. [cited 2019 Nov 21]. Available from: https://doi.org/10.14711/thesis-b1198667 ; http://repository.ust.hk/ir/bitstream/1783.1-63084/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Su D. Music emotion classification from audio and lyrics. [Thesis]. Hong Kong University of Science and Technology; 2012. Available from: https://doi.org/10.14711/thesis-b1198667 ; http://repository.ust.hk/ir/bitstream/1783.1-63084/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of California – Irvine

18. Caulkins, Anthony DJ. ‘Musical Gesture’ in Analysis: Gesture-Class as a formal structure.

Degree: Music, 2016, University of California – Irvine

 In this paper, I examine notions of musical gesture and their possible compositional and analytical applications. As a point of departure, I provide a provisional… (more)

Subjects/Keywords: Music; Artificial intelligence; Dance; Classification; Composition; Donatoni; Gesture; Kimura; Taylor

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APA (6th Edition):

Caulkins, A. D. (2016). ‘Musical Gesture’ in Analysis: Gesture-Class as a formal structure. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/1c43n5wj

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Caulkins, Anthony DJ. “‘Musical Gesture’ in Analysis: Gesture-Class as a formal structure.” 2016. Thesis, University of California – Irvine. Accessed November 21, 2019. http://www.escholarship.org/uc/item/1c43n5wj.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Caulkins, Anthony DJ. “‘Musical Gesture’ in Analysis: Gesture-Class as a formal structure.” 2016. Web. 21 Nov 2019.

Vancouver:

Caulkins AD. ‘Musical Gesture’ in Analysis: Gesture-Class as a formal structure. [Internet] [Thesis]. University of California – Irvine; 2016. [cited 2019 Nov 21]. Available from: http://www.escholarship.org/uc/item/1c43n5wj.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Caulkins AD. ‘Musical Gesture’ in Analysis: Gesture-Class as a formal structure. [Thesis]. University of California – Irvine; 2016. Available from: http://www.escholarship.org/uc/item/1c43n5wj

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

19. E. Tacchini. SERENDIPITOUS MENTORSHIP IN MUSIC RECOMMENDER SYSTEMS.

Degree: 2012, Università degli Studi di Milano

 Nowadays the amount of content and products easily available on-line for purchase or fruition is so high that recommender systems represent an important resource for… (more)

Subjects/Keywords: recommender systems; music; classification; clustering; serendipity; similarities; Settore INF/01 - Informatica

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APA (6th Edition):

Tacchini, E. (2012). SERENDIPITOUS MENTORSHIP IN MUSIC RECOMMENDER SYSTEMS. (Thesis). Università degli Studi di Milano. Retrieved from http://hdl.handle.net/2434/172443

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tacchini, E.. “SERENDIPITOUS MENTORSHIP IN MUSIC RECOMMENDER SYSTEMS.” 2012. Thesis, Università degli Studi di Milano. Accessed November 21, 2019. http://hdl.handle.net/2434/172443.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tacchini, E.. “SERENDIPITOUS MENTORSHIP IN MUSIC RECOMMENDER SYSTEMS.” 2012. Web. 21 Nov 2019.

Vancouver:

Tacchini E. SERENDIPITOUS MENTORSHIP IN MUSIC RECOMMENDER SYSTEMS. [Internet] [Thesis]. Università degli Studi di Milano; 2012. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/2434/172443.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tacchini E. SERENDIPITOUS MENTORSHIP IN MUSIC RECOMMENDER SYSTEMS. [Thesis]. Università degli Studi di Milano; 2012. Available from: http://hdl.handle.net/2434/172443

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


McMaster University

20. Ellis, Blair K. An analysis of style-types in musical improvisation using clustering methods.

Degree: MSc, 2015, McMaster University

Research on creativity examines both the processes and products of creativity. An important avenue for analyzing creativity is by means of spontaneous improvisation, although there… (more)

Subjects/Keywords: Music classification; improvisation; style analysis; creativity; multiple correspondence analysis; cluster analysis

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APA (6th Edition):

Ellis, B. K. (2015). An analysis of style-types in musical improvisation using clustering methods. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/18068

Chicago Manual of Style (16th Edition):

Ellis, Blair K. “An analysis of style-types in musical improvisation using clustering methods.” 2015. Masters Thesis, McMaster University. Accessed November 21, 2019. http://hdl.handle.net/11375/18068.

MLA Handbook (7th Edition):

Ellis, Blair K. “An analysis of style-types in musical improvisation using clustering methods.” 2015. Web. 21 Nov 2019.

Vancouver:

Ellis BK. An analysis of style-types in musical improvisation using clustering methods. [Internet] [Masters thesis]. McMaster University; 2015. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/11375/18068.

Council of Science Editors:

Ellis BK. An analysis of style-types in musical improvisation using clustering methods. [Masters Thesis]. McMaster University; 2015. Available from: http://hdl.handle.net/11375/18068


Virginia Tech

21. Bond, Zachary. Unsupervised Classification of Music Signals: Strategies Using Timbre and Rhythm.

Degree: MS, Electrical and Computer Engineering, 2006, Virginia Tech

 This thesis describes the ideal properties of an adaptable music classification system based on unsupervised machine learning, and argues that such a system should be… (more)

Subjects/Keywords: clustering; music; rhythm; timbre; classification

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bond, Z. (2006). Unsupervised Classification of Music Signals: Strategies Using Timbre and Rhythm. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/36469

Chicago Manual of Style (16th Edition):

Bond, Zachary. “Unsupervised Classification of Music Signals: Strategies Using Timbre and Rhythm.” 2006. Masters Thesis, Virginia Tech. Accessed November 21, 2019. http://hdl.handle.net/10919/36469.

MLA Handbook (7th Edition):

Bond, Zachary. “Unsupervised Classification of Music Signals: Strategies Using Timbre and Rhythm.” 2006. Web. 21 Nov 2019.

Vancouver:

Bond Z. Unsupervised Classification of Music Signals: Strategies Using Timbre and Rhythm. [Internet] [Masters thesis]. Virginia Tech; 2006. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/10919/36469.

Council of Science Editors:

Bond Z. Unsupervised Classification of Music Signals: Strategies Using Timbre and Rhythm. [Masters Thesis]. Virginia Tech; 2006. Available from: http://hdl.handle.net/10919/36469


University of Victoria

22. Pedersoli, Fabrizio. Image processing and forward propagation using binary representations, and robust audio analysis using deep learning.

Degree: Department of Computer Science, 2019, University of Victoria

 The work presented in this thesis consists of three main topics: document segmentation and classification into text and score, efficient computation with binary representations, and… (more)

Subjects/Keywords: Document segmentation; Optimized implementations; Deep learning; Music classification

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APA (6th Edition):

Pedersoli, F. (2019). Image processing and forward propagation using binary representations, and robust audio analysis using deep learning. (Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/10653

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pedersoli, Fabrizio. “Image processing and forward propagation using binary representations, and robust audio analysis using deep learning.” 2019. Thesis, University of Victoria. Accessed November 21, 2019. http://hdl.handle.net/1828/10653.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pedersoli, Fabrizio. “Image processing and forward propagation using binary representations, and robust audio analysis using deep learning.” 2019. Web. 21 Nov 2019.

Vancouver:

Pedersoli F. Image processing and forward propagation using binary representations, and robust audio analysis using deep learning. [Internet] [Thesis]. University of Victoria; 2019. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/1828/10653.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pedersoli F. Image processing and forward propagation using binary representations, and robust audio analysis using deep learning. [Thesis]. University of Victoria; 2019. Available from: http://hdl.handle.net/1828/10653

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

23. Bergelid, Linn. Classification of explicit music content using lyrics and music metadata.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

In a world where online information is growing rapidly, the need for more efficient methods to search for and create music collections is larger… (more)

Subjects/Keywords: text classification; machine learning; song lyrics; music; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Bergelid, L. (2018). Classification of explicit music content using lyrics and music metadata. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231461

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bergelid, Linn. “Classification of explicit music content using lyrics and music metadata.” 2018. Thesis, KTH. Accessed November 21, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231461.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bergelid, Linn. “Classification of explicit music content using lyrics and music metadata.” 2018. Web. 21 Nov 2019.

Vancouver:

Bergelid L. Classification of explicit music content using lyrics and music metadata. [Internet] [Thesis]. KTH; 2018. [cited 2019 Nov 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231461.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bergelid L. Classification of explicit music content using lyrics and music metadata. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231461

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Uppsala University

24. Bergel, Erik. Musik i förvandling : Bibliotekens övergång av klassifikationssystem från SAB till DDK och dess inverkan på musikområdet.

Degree: ALM, 2016, Uppsala University

  In November 2008, the National Library of Sweden decided to change their standard classification system from the Swedish Library Classification System (SAB) to the… (more)

Subjects/Keywords: Classification – Books; Music librarians; Cataloging of music; SAB classification; Classification – Dewey decimal; Klassifikation (bibliotek); Musikbibliotek; Musikbibliotekarier; Katalogisering av musik; SAB-systemet; Dewey decimalklassifikation

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APA (6th Edition):

Bergel, E. (2016). Musik i förvandling : Bibliotekens övergång av klassifikationssystem från SAB till DDK och dess inverkan på musikområdet. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-297633

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bergel, Erik. “Musik i förvandling : Bibliotekens övergång av klassifikationssystem från SAB till DDK och dess inverkan på musikområdet.” 2016. Thesis, Uppsala University. Accessed November 21, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-297633.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bergel, Erik. “Musik i förvandling : Bibliotekens övergång av klassifikationssystem från SAB till DDK och dess inverkan på musikområdet.” 2016. Web. 21 Nov 2019.

Vancouver:

Bergel E. Musik i förvandling : Bibliotekens övergång av klassifikationssystem från SAB till DDK och dess inverkan på musikområdet. [Internet] [Thesis]. Uppsala University; 2016. [cited 2019 Nov 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-297633.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bergel E. Musik i förvandling : Bibliotekens övergång av klassifikationssystem från SAB till DDK och dess inverkan på musikområdet. [Thesis]. Uppsala University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-297633

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

25. Horvat, Diana. VPLIV ZVOČNEGA OZADJA NA GLASBENE PREFERENCE UČENCEV.

Degree: 2016, Univerza v Mariboru

Glasba predstavlja pomemben del našega vsakdana. Večino časa jo poslušamo pasivno. Kljub temu se nam vtisne v spomin in v nas vzbudi določena čustva, ki… (more)

Subjects/Keywords: zvočno ozadje; vplivi glasbe; čustveno doživljanje glasbe; sprejemanje glasbe; glasbene preference; audio background; music influence; emotional music experience; music reception; music preference; info:eu-repo/classification/udc/37.015.311:78(043.2)

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APA (6th Edition):

Horvat, D. (2016). VPLIV ZVOČNEGA OZADJA NA GLASBENE PREFERENCE UČENCEV. (Masters Thesis). Univerza v Mariboru. Retrieved from https://dk.um.si/IzpisGradiva.php?id=60338 ; https://dk.um.si/Dokument.php?id=94712&dn= ; https://plus.si.cobiss.net/opac7/bib/22406664?lang=sl

Chicago Manual of Style (16th Edition):

Horvat, Diana. “VPLIV ZVOČNEGA OZADJA NA GLASBENE PREFERENCE UČENCEV.” 2016. Masters Thesis, Univerza v Mariboru. Accessed November 21, 2019. https://dk.um.si/IzpisGradiva.php?id=60338 ; https://dk.um.si/Dokument.php?id=94712&dn= ; https://plus.si.cobiss.net/opac7/bib/22406664?lang=sl.

MLA Handbook (7th Edition):

Horvat, Diana. “VPLIV ZVOČNEGA OZADJA NA GLASBENE PREFERENCE UČENCEV.” 2016. Web. 21 Nov 2019.

Vancouver:

Horvat D. VPLIV ZVOČNEGA OZADJA NA GLASBENE PREFERENCE UČENCEV. [Internet] [Masters thesis]. Univerza v Mariboru; 2016. [cited 2019 Nov 21]. Available from: https://dk.um.si/IzpisGradiva.php?id=60338 ; https://dk.um.si/Dokument.php?id=94712&dn= ; https://plus.si.cobiss.net/opac7/bib/22406664?lang=sl.

Council of Science Editors:

Horvat D. VPLIV ZVOČNEGA OZADJA NA GLASBENE PREFERENCE UČENCEV. [Masters Thesis]. Univerza v Mariboru; 2016. Available from: https://dk.um.si/IzpisGradiva.php?id=60338 ; https://dk.um.si/Dokument.php?id=94712&dn= ; https://plus.si.cobiss.net/opac7/bib/22406664?lang=sl


Queen Mary, University of London

26. Anglade, Amélie. Logic-based modelling of musical harmony for automatic characterisation and classification.

Degree: PhD, 2014, Queen Mary, University of London

 Harmony is the aspect of music concerned with the structure, progression, and relation of chords. In Western tonal music each period had different rules and… (more)

Subjects/Keywords: 781.2; harmony; music classification; Inductive Logic Programming; chord sequences; logic-based modelling; pattern recognition; music information retrieval

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APA (6th Edition):

Anglade, A. (2014). Logic-based modelling of musical harmony for automatic characterisation and classification. (Doctoral Dissertation). Queen Mary, University of London. Retrieved from http://qmro.qmul.ac.uk/xmlui/handle/123456789/7852 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.655176

Chicago Manual of Style (16th Edition):

Anglade, Amélie. “Logic-based modelling of musical harmony for automatic characterisation and classification.” 2014. Doctoral Dissertation, Queen Mary, University of London. Accessed November 21, 2019. http://qmro.qmul.ac.uk/xmlui/handle/123456789/7852 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.655176.

MLA Handbook (7th Edition):

Anglade, Amélie. “Logic-based modelling of musical harmony for automatic characterisation and classification.” 2014. Web. 21 Nov 2019.

Vancouver:

Anglade A. Logic-based modelling of musical harmony for automatic characterisation and classification. [Internet] [Doctoral dissertation]. Queen Mary, University of London; 2014. [cited 2019 Nov 21]. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/7852 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.655176.

Council of Science Editors:

Anglade A. Logic-based modelling of musical harmony for automatic characterisation and classification. [Doctoral Dissertation]. Queen Mary, University of London; 2014. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/7852 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.655176


Universidade Nova

27. Vale, Pedro Miguel Fernandes. The role of artist and genre on music emotion recognition.

Degree: 2017, Universidade Nova

 The goal of this study is to classify a dataset of songs according to their emotion and to understand the impact that the artist and… (more)

Subjects/Keywords: Music Emotion Recognition (MER); Music Information Retrieval (MIR); Songs; Emotions; Data Mining; Classification; Support Vector Machines

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APA (6th Edition):

Vale, P. M. F. (2017). The role of artist and genre on music emotion recognition. (Thesis). Universidade Nova. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/26303

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vale, Pedro Miguel Fernandes. “The role of artist and genre on music emotion recognition.” 2017. Thesis, Universidade Nova. Accessed November 21, 2019. https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/26303.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vale, Pedro Miguel Fernandes. “The role of artist and genre on music emotion recognition.” 2017. Web. 21 Nov 2019.

Vancouver:

Vale PMF. The role of artist and genre on music emotion recognition. [Internet] [Thesis]. Universidade Nova; 2017. [cited 2019 Nov 21]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/26303.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vale PMF. The role of artist and genre on music emotion recognition. [Thesis]. Universidade Nova; 2017. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/26303

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

28. Šramel, Špela. Glasba petošolcev v šoli in zunaj nje.

Degree: 2017, Univerza v Mariboru

V magistrskem delu z naslovom Glasba petošolcev v šoli in zunaj nje proučujemo, kakšno glasbo danes poslušajo mladi, katera zvrst je najbolj preferirana, kakšno glasbo… (more)

Subjects/Keywords: Glasba; petošolci; glasbene zvrsti; interesne dejavnosti; Music; fifth graders; music genres; extracurricular activities; info:eu-repo/classification/udc/37.015.31:78(043.2)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Šramel, . (2017). Glasba petošolcev v šoli in zunaj nje. (Masters Thesis). Univerza v Mariboru. Retrieved from https://dk.um.si/IzpisGradiva.php?id=64978 ; https://dk.um.si/Dokument.php?id=109703&dn= ; https://plus.si.cobiss.net/opac7/bib/23009800?lang=sl

Chicago Manual of Style (16th Edition):

Šramel, Špela. “Glasba petošolcev v šoli in zunaj nje.” 2017. Masters Thesis, Univerza v Mariboru. Accessed November 21, 2019. https://dk.um.si/IzpisGradiva.php?id=64978 ; https://dk.um.si/Dokument.php?id=109703&dn= ; https://plus.si.cobiss.net/opac7/bib/23009800?lang=sl.

MLA Handbook (7th Edition):

Šramel, Špela. “Glasba petošolcev v šoli in zunaj nje.” 2017. Web. 21 Nov 2019.

Vancouver:

Šramel . Glasba petošolcev v šoli in zunaj nje. [Internet] [Masters thesis]. Univerza v Mariboru; 2017. [cited 2019 Nov 21]. Available from: https://dk.um.si/IzpisGradiva.php?id=64978 ; https://dk.um.si/Dokument.php?id=109703&dn= ; https://plus.si.cobiss.net/opac7/bib/23009800?lang=sl.

Council of Science Editors:

Šramel . Glasba petošolcev v šoli in zunaj nje. [Masters Thesis]. Univerza v Mariboru; 2017. Available from: https://dk.um.si/IzpisGradiva.php?id=64978 ; https://dk.um.si/Dokument.php?id=109703&dn= ; https://plus.si.cobiss.net/opac7/bib/23009800?lang=sl

29. Vida, Gregor. Idejna zasnova nove glasbene šole v lendavi.

Degree: 2018, Univerza v Mariboru

V magistrski nalogi obravnavam temo s področja glasbenega in baletnega izobraževanja. Projektna naloga je podkrepljena s teoretičnimi izhodišči, vezanimi na glasbeno izobraževanje, akustiko, študijami referenčnih… (more)

Subjects/Keywords: Lendava; glasbena šola; glasba; balet; arhitektura; Lendava; music school; music; ballet; architecture; info:eu-repo/classification/udc/727:[37.018.54:78](043.2)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vida, G. (2018). Idejna zasnova nove glasbene šole v lendavi. (Masters Thesis). Univerza v Mariboru. Retrieved from https://dk.um.si/IzpisGradiva.php?id=72242 ; https://dk.um.si/Dokument.php?id=130693&dn= ; https://plus.si.cobiss.net/opac7/bib/21796630?lang=sl

Chicago Manual of Style (16th Edition):

Vida, Gregor. “Idejna zasnova nove glasbene šole v lendavi.” 2018. Masters Thesis, Univerza v Mariboru. Accessed November 21, 2019. https://dk.um.si/IzpisGradiva.php?id=72242 ; https://dk.um.si/Dokument.php?id=130693&dn= ; https://plus.si.cobiss.net/opac7/bib/21796630?lang=sl.

MLA Handbook (7th Edition):

Vida, Gregor. “Idejna zasnova nove glasbene šole v lendavi.” 2018. Web. 21 Nov 2019.

Vancouver:

Vida G. Idejna zasnova nove glasbene šole v lendavi. [Internet] [Masters thesis]. Univerza v Mariboru; 2018. [cited 2019 Nov 21]. Available from: https://dk.um.si/IzpisGradiva.php?id=72242 ; https://dk.um.si/Dokument.php?id=130693&dn= ; https://plus.si.cobiss.net/opac7/bib/21796630?lang=sl.

Council of Science Editors:

Vida G. Idejna zasnova nove glasbene šole v lendavi. [Masters Thesis]. Univerza v Mariboru; 2018. Available from: https://dk.um.si/IzpisGradiva.php?id=72242 ; https://dk.um.si/Dokument.php?id=130693&dn= ; https://plus.si.cobiss.net/opac7/bib/21796630?lang=sl


San Jose State University

30. Akella, Revanth. MUSIC MOOD CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS.

Degree: MS, Computer Science, 2019, San Jose State University

  Grouping music into moods is useful as music is migrating from to online streaming services as it can help in recommendations. To establish the… (more)

Subjects/Keywords: Deep learning; lyric extraction; mood classification; music classification; natural language processing; tag extraction; Artificial Intelligence and Robotics; Other Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Akella, R. (2019). MUSIC MOOD CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.6cnh-j963 ; https://scholarworks.sjsu.edu/etd_projects/736

Chicago Manual of Style (16th Edition):

Akella, Revanth. “MUSIC MOOD CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS.” 2019. Masters Thesis, San Jose State University. Accessed November 21, 2019. https://doi.org/10.31979/etd.6cnh-j963 ; https://scholarworks.sjsu.edu/etd_projects/736.

MLA Handbook (7th Edition):

Akella, Revanth. “MUSIC MOOD CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS.” 2019. Web. 21 Nov 2019.

Vancouver:

Akella R. MUSIC MOOD CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2019 Nov 21]. Available from: https://doi.org/10.31979/etd.6cnh-j963 ; https://scholarworks.sjsu.edu/etd_projects/736.

Council of Science Editors:

Akella R. MUSIC MOOD CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS. [Masters Thesis]. San Jose State University; 2019. Available from: https://doi.org/10.31979/etd.6cnh-j963 ; https://scholarworks.sjsu.edu/etd_projects/736

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