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You searched for subject:(bayesian alignment). Showing records 1 – 12 of 12 total matches.

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Duke University

1. Larson, Gary. Advances in Bayesian Modeling of Protein Structure Evolution .

Degree: 2018, Duke University

  This thesis contributes to a statistical modeling framework for protein sequence and structure evolution. An existing Bayesian model for protein structure evolution is extended… (more)

Subjects/Keywords: Statistics; Biology; Bayesian statistics; evolution; Markov chain Monte Carlo; phylogenetics; protein alignment; protein evolution

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

APA (6th Edition):

Larson, G. (2018). Advances in Bayesian Modeling of Protein Structure Evolution . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/17523

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):

Larson, Gary. “Advances in Bayesian Modeling of Protein Structure Evolution .” 2018. Thesis, Duke University. Accessed October 19, 2019. http://hdl.handle.net/10161/17523.

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

MLA Handbook (7th Edition):

Larson, Gary. “Advances in Bayesian Modeling of Protein Structure Evolution .” 2018. Web. 19 Oct 2019.

Vancouver:

Larson G. Advances in Bayesian Modeling of Protein Structure Evolution . [Internet] [Thesis]. Duke University; 2018. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/10161/17523.

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

Council of Science Editors:

Larson G. Advances in Bayesian Modeling of Protein Structure Evolution . [Thesis]. Duke University; 2018. Available from: http://hdl.handle.net/10161/17523

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


University of Oxford

2. Forbes, Peter G. M. Quantifying the strength of evidence in forensic fingerprints.

Degree: PhD, 2014, University of Oxford

 Part I presents a model for fingerprint matching using Bayesian alignment on unlabelled point sets. An efficient Monte Carlo algorithm is developed to calculate the… (more)

Subjects/Keywords: 519.5; Statistics; bayesian alignment; forensic identification; likelihood ratio; marked point process; weight of evidence

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

APA (6th Edition):

Forbes, P. G. M. (2014). Quantifying the strength of evidence in forensic fingerprints. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:0915280a-22cc-429d-90dc-77f934d61dde ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627866

Chicago Manual of Style (16th Edition):

Forbes, Peter G M. “Quantifying the strength of evidence in forensic fingerprints.” 2014. Doctoral Dissertation, University of Oxford. Accessed October 19, 2019. http://ora.ox.ac.uk/objects/uuid:0915280a-22cc-429d-90dc-77f934d61dde ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627866.

MLA Handbook (7th Edition):

Forbes, Peter G M. “Quantifying the strength of evidence in forensic fingerprints.” 2014. Web. 19 Oct 2019.

Vancouver:

Forbes PGM. Quantifying the strength of evidence in forensic fingerprints. [Internet] [Doctoral dissertation]. University of Oxford; 2014. [cited 2019 Oct 19]. Available from: http://ora.ox.ac.uk/objects/uuid:0915280a-22cc-429d-90dc-77f934d61dde ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627866.

Council of Science Editors:

Forbes PGM. Quantifying the strength of evidence in forensic fingerprints. [Doctoral Dissertation]. University of Oxford; 2014. Available from: http://ora.ox.ac.uk/objects/uuid:0915280a-22cc-429d-90dc-77f934d61dde ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627866


Texas A&M University

3. Wang, Xuan. Statistical Methods for the Analysis of Mass Spectrometry-based Proteomics Data.

Degree: 2012, Texas A&M University

 Proteomics serves an important role at the systems-level in understanding of biological functioning. Mass spectrometry proteomics has become the tool of choice for identifying and… (more)

Subjects/Keywords: Proteomics; Mass spectrometry; Bottom-up; Identification; Alignment; Quantitation; LC-MS; PSM; Bayesian Hierarchical Model; FDR; Anchor Points; Missingness

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

APA (6th Edition):

Wang, X. (2012). Statistical Methods for the Analysis of Mass Spectrometry-based Proteomics Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10777

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):

Wang, Xuan. “Statistical Methods for the Analysis of Mass Spectrometry-based Proteomics Data.” 2012. Thesis, Texas A&M University. Accessed October 19, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10777.

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

MLA Handbook (7th Edition):

Wang, Xuan. “Statistical Methods for the Analysis of Mass Spectrometry-based Proteomics Data.” 2012. Web. 19 Oct 2019.

Vancouver:

Wang X. Statistical Methods for the Analysis of Mass Spectrometry-based Proteomics Data. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10777.

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

Council of Science Editors:

Wang X. Statistical Methods for the Analysis of Mass Spectrometry-based Proteomics Data. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10777

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

4. Tsai, Tsung-Heng. Bayesian Alignment Model for Analysis of LC-MS-based Omic Data.

Degree: PhD, Electrical and Computer Engineering, 2014, Virginia Tech

 Liquid chromatography coupled with mass spectrometry (LC-MS) has been widely used in various omic studies for biomarker discovery. Appropriate LC-MS data preprocessing steps are needed… (more)

Subjects/Keywords: alignment; Bayesian inference; biomarker discovery; liquid chromatography-mass spectrometry (LC-MS); Markov chain Monte Carlo (MCMC)

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APA (6th Edition):

Tsai, T. (2014). Bayesian Alignment Model for Analysis of LC-MS-based Omic Data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64151

Chicago Manual of Style (16th Edition):

Tsai, Tsung-Heng. “Bayesian Alignment Model for Analysis of LC-MS-based Omic Data.” 2014. Doctoral Dissertation, Virginia Tech. Accessed October 19, 2019. http://hdl.handle.net/10919/64151.

MLA Handbook (7th Edition):

Tsai, Tsung-Heng. “Bayesian Alignment Model for Analysis of LC-MS-based Omic Data.” 2014. Web. 19 Oct 2019.

Vancouver:

Tsai T. Bayesian Alignment Model for Analysis of LC-MS-based Omic Data. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/10919/64151.

Council of Science Editors:

Tsai T. Bayesian Alignment Model for Analysis of LC-MS-based Omic Data. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/64151


Kyoto University / 京都大学

5. Maezawa, Akira. Bayesian Music Alignment : ベイス推定に基づく音楽アライメント.

Degree: 博士(情報学), 2015, Kyoto University / 京都大学

新制・課程博士

甲第19106号

情博第552号

Subjects/Keywords: Bayesian Inference; Audio-to-score alignment; Audio-to-audio alignment; Subset music alignment; Dereverberation

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

APA (6th Edition):

Maezawa, A. (2015). Bayesian Music Alignment : ベイス推定に基づく音楽アライメント. (Thesis). Kyoto University / 京都大学. Retrieved from http://hdl.handle.net/2433/199430 ; http://dx.doi.org/10.14989/doctor.k19106

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):

Maezawa, Akira. “Bayesian Music Alignment : ベイス推定に基づく音楽アライメント.” 2015. Thesis, Kyoto University / 京都大学. Accessed October 19, 2019. http://hdl.handle.net/2433/199430 ; http://dx.doi.org/10.14989/doctor.k19106.

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

MLA Handbook (7th Edition):

Maezawa, Akira. “Bayesian Music Alignment : ベイス推定に基づく音楽アライメント.” 2015. Web. 19 Oct 2019.

Vancouver:

Maezawa A. Bayesian Music Alignment : ベイス推定に基づく音楽アライメント. [Internet] [Thesis]. Kyoto University / 京都大学; 2015. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/2433/199430 ; http://dx.doi.org/10.14989/doctor.k19106.

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

Council of Science Editors:

Maezawa A. Bayesian Music Alignment : ベイス推定に基づく音楽アライメント. [Thesis]. Kyoto University / 京都大学; 2015. Available from: http://hdl.handle.net/2433/199430 ; http://dx.doi.org/10.14989/doctor.k19106

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


Kyoto University / 京都大学

6. 前澤, 陽. ベイス推定に基づく音楽アライメント : Bayesian Music Alignment.

Degree: 博士(情報学), 2015, Kyoto University / 京都大学

新制・課程博士

甲第19106号

情博第552号

Subjects/Keywords: Bayesian Inference; Audio-to-score alignment; Audio-to-audio alignment; Subset music alignment; Dereverberation

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

APA (6th Edition):

前澤, . (2015). ベイス推定に基づく音楽アライメント : Bayesian Music Alignment. (Thesis). Kyoto University / 京都大学. Retrieved from http://hdl.handle.net/2433/199552

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):

前澤, 陽. “ベイス推定に基づく音楽アライメント : Bayesian Music Alignment.” 2015. Thesis, Kyoto University / 京都大学. Accessed October 19, 2019. http://hdl.handle.net/2433/199552.

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

MLA Handbook (7th Edition):

前澤, 陽. “ベイス推定に基づく音楽アライメント : Bayesian Music Alignment.” 2015. Web. 19 Oct 2019.

Vancouver:

前澤 . ベイス推定に基づく音楽アライメント : Bayesian Music Alignment. [Internet] [Thesis]. Kyoto University / 京都大学; 2015. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/2433/199552.

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

Council of Science Editors:

前澤 . ベイス推定に基づく音楽アライメント : Bayesian Music Alignment. [Thesis]. Kyoto University / 京都大学; 2015. Available from: http://hdl.handle.net/2433/199552

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


Kyoto University

7. Maezawa, Akira. Bayesian Music Alignment .

Degree: 2015, Kyoto University

Subjects/Keywords: Bayesian Inference; Audio-to-score alignment; Audio-to-audio alignment; Subset music alignment; Dereverberation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Maezawa, A. (2015). Bayesian Music Alignment . (Thesis). Kyoto University. Retrieved from http://hdl.handle.net/2433/199430

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):

Maezawa, Akira. “Bayesian Music Alignment .” 2015. Thesis, Kyoto University. Accessed October 19, 2019. http://hdl.handle.net/2433/199430.

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

MLA Handbook (7th Edition):

Maezawa, Akira. “Bayesian Music Alignment .” 2015. Web. 19 Oct 2019.

Vancouver:

Maezawa A. Bayesian Music Alignment . [Internet] [Thesis]. Kyoto University; 2015. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/2433/199430.

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

Council of Science Editors:

Maezawa A. Bayesian Music Alignment . [Thesis]. Kyoto University; 2015. Available from: http://hdl.handle.net/2433/199430

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


University of Oxford

8. Herman, Joseph L. Multiple sequence analysis in the presence of alignment uncertainty.

Degree: PhD, 2014, University of Oxford

 Sequence alignment is one of the most intensely studied problems in bioinformatics, and is an important step in a wide range of analyses. An issue… (more)

Subjects/Keywords: 572.8; Bioinformatics (life sciences); Structural genomics; Mathematical genetics and bioinformatics (statistics); Stochastic processes; Probability; multiple sequence alignment; structural alignment; alignment uncertainty; statistical alignment; Bayesian phylogenetics; Markov chain Monte Carlo; globin evolution; graphical models; directed acyclic graphs; stochastic context-free grammars; hidden Markov models; sequence annotation; RNA secondary structure

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APA (6th Edition):

Herman, J. L. (2014). Multiple sequence analysis in the presence of alignment uncertainty. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:88a56d9f-a96e-48e3-b8dc-a73f3efc8472 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635293

Chicago Manual of Style (16th Edition):

Herman, Joseph L. “Multiple sequence analysis in the presence of alignment uncertainty.” 2014. Doctoral Dissertation, University of Oxford. Accessed October 19, 2019. http://ora.ox.ac.uk/objects/uuid:88a56d9f-a96e-48e3-b8dc-a73f3efc8472 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635293.

MLA Handbook (7th Edition):

Herman, Joseph L. “Multiple sequence analysis in the presence of alignment uncertainty.” 2014. Web. 19 Oct 2019.

Vancouver:

Herman JL. Multiple sequence analysis in the presence of alignment uncertainty. [Internet] [Doctoral dissertation]. University of Oxford; 2014. [cited 2019 Oct 19]. Available from: http://ora.ox.ac.uk/objects/uuid:88a56d9f-a96e-48e3-b8dc-a73f3efc8472 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635293.

Council of Science Editors:

Herman JL. Multiple sequence analysis in the presence of alignment uncertainty. [Doctoral Dissertation]. University of Oxford; 2014. Available from: http://ora.ox.ac.uk/objects/uuid:88a56d9f-a96e-48e3-b8dc-a73f3efc8472 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635293


University of Rochester

9. Zhang, Hao (1978 - ). Handling complexity of synchronous grammars for machine translation.

Degree: PhD, 2008, University of Rochester

 The statistical approach has become the dominant approach for Machine Translation in the recent decade. Roughly speaking, a Statistical MT (SMT) model is a machine… (more)

Subjects/Keywords: Efficient decoding; Factorization; Synchronous grammar; Bayesian learning; Machine translation; Word alignment

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APA (6th Edition):

Zhang, H. (. -. ). (2008). Handling complexity of synchronous grammars for machine translation. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/6087

Chicago Manual of Style (16th Edition):

Zhang, Hao (1978 - ). “Handling complexity of synchronous grammars for machine translation.” 2008. Doctoral Dissertation, University of Rochester. Accessed October 19, 2019. http://hdl.handle.net/1802/6087.

MLA Handbook (7th Edition):

Zhang, Hao (1978 - ). “Handling complexity of synchronous grammars for machine translation.” 2008. Web. 19 Oct 2019.

Vancouver:

Zhang H(-). Handling complexity of synchronous grammars for machine translation. [Internet] [Doctoral dissertation]. University of Rochester; 2008. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/1802/6087.

Council of Science Editors:

Zhang H(-). Handling complexity of synchronous grammars for machine translation. [Doctoral Dissertation]. University of Rochester; 2008. Available from: http://hdl.handle.net/1802/6087

10. Godard, Pierre. Unsupervised word discovery for computational language documentation : Découverte non-supervisée de mots pour outiller la linguistique de terrain.

Degree: Docteur es, Informatique, 2019, Paris Saclay

La diversité linguistique est actuellement menacée : la moitié des langues connues dans le monde pourraient disparaître d'ici la fin du siècle. Cette prise de… (more)

Subjects/Keywords: Apprentissage non-supervisé; Segmentation automatique en mots; Alignement bilingue; Modèles bayésiens; Langues peu dotées; Unsupervised learning; Automatic word segmentation; Bilingual alignment; Bayesian models; Low-resource languages

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APA (6th Edition):

Godard, P. (2019). Unsupervised word discovery for computational language documentation : Découverte non-supervisée de mots pour outiller la linguistique de terrain. (Doctoral Dissertation). Paris Saclay. Retrieved from http://www.theses.fr/2019SACLS062

Chicago Manual of Style (16th Edition):

Godard, Pierre. “Unsupervised word discovery for computational language documentation : Découverte non-supervisée de mots pour outiller la linguistique de terrain.” 2019. Doctoral Dissertation, Paris Saclay. Accessed October 19, 2019. http://www.theses.fr/2019SACLS062.

MLA Handbook (7th Edition):

Godard, Pierre. “Unsupervised word discovery for computational language documentation : Découverte non-supervisée de mots pour outiller la linguistique de terrain.” 2019. Web. 19 Oct 2019.

Vancouver:

Godard P. Unsupervised word discovery for computational language documentation : Découverte non-supervisée de mots pour outiller la linguistique de terrain. [Internet] [Doctoral dissertation]. Paris Saclay; 2019. [cited 2019 Oct 19]. Available from: http://www.theses.fr/2019SACLS062.

Council of Science Editors:

Godard P. Unsupervised word discovery for computational language documentation : Découverte non-supervisée de mots pour outiller la linguistique de terrain. [Doctoral Dissertation]. Paris Saclay; 2019. Available from: http://www.theses.fr/2019SACLS062

11. Hunter, Martin Gray. Four Essays on a Student's Expectation that they will Complete College.

Degree: 2017, University of Kentucky

 It has been common practice in the economics literature to utilize data on observed outcomes and negate what individuals believe or expect will happen in… (more)

Subjects/Keywords: Expectations; Education; College Attendance; Matriculation; Completion; NLSY97; Bayesian; Updating; Alignment; Higher Education; Labor Economics; Public Economics

…Expectations from 1997 to 2001 . . . . . . . Are Students Bayesian Updaters… …4.5 4.6 Chapter 5 Student Predictions and Alignment of Future 5.1 Introduction… …Interior Reporters . . . . . . . . . Summary Statistics of Bayesian Components… …Bayesian Updating Estimates . . . . . . . . . . . . . . . . . . . 55 57 59 64 68 71 73 76 79 80… …College Completion - 2001 Sub-sample Summary Statistics for the Secondary Alignment Measure… 

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APA (6th Edition):

Hunter, M. G. (2017). Four Essays on a Student's Expectation that they will Complete College. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/economics_etds/33

Chicago Manual of Style (16th Edition):

Hunter, Martin Gray. “Four Essays on a Student's Expectation that they will Complete College.” 2017. Doctoral Dissertation, University of Kentucky. Accessed October 19, 2019. https://uknowledge.uky.edu/economics_etds/33.

MLA Handbook (7th Edition):

Hunter, Martin Gray. “Four Essays on a Student's Expectation that they will Complete College.” 2017. Web. 19 Oct 2019.

Vancouver:

Hunter MG. Four Essays on a Student's Expectation that they will Complete College. [Internet] [Doctoral dissertation]. University of Kentucky; 2017. [cited 2019 Oct 19]. Available from: https://uknowledge.uky.edu/economics_etds/33.

Council of Science Editors:

Hunter MG. Four Essays on a Student's Expectation that they will Complete College. [Doctoral Dissertation]. University of Kentucky; 2017. Available from: https://uknowledge.uky.edu/economics_etds/33


Universitat Pompeu Fabra

12. Dzhambazov, Georgi. Knowledge-based probabilistic modeling for tracking lyrics in music audio signals.

Degree: Departament de Tecnologies de la Informació i les Comunicacions, 2017, Universitat Pompeu Fabra

 La tesi aquí presentada proposa metodologies d’aprenentatge automàtic i processament de senyal per alinear automàticament el text d’una cançó amb el seu corresponent enregistrament d’àudio.… (more)

Subjects/Keywords: Signal processing; Machine learning; Music information retrieval; Singing voice; Lyrics; Lyrics-to-audio alignment; Phonemes; Music scores; Turkish makam music; Beijing Opera; Hidden Markov models; Dynamic Bayesian Networks; Processament de senyal; Extracció d’informació musical; Aprenentatge automàtic; Veu de cant; Text del la cançó; Alineament de text amb àudio; Fonemes; Partitura; Música makam turc-otomana; Opera de Beijing; Models ocults de Markov; Xarxes dinàmiques de Bayes; 62

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APA (6th Edition):

Dzhambazov, G. (2017). Knowledge-based probabilistic modeling for tracking lyrics in music audio signals. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/404681

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):

Dzhambazov, Georgi. “Knowledge-based probabilistic modeling for tracking lyrics in music audio signals.” 2017. Thesis, Universitat Pompeu Fabra. Accessed October 19, 2019. http://hdl.handle.net/10803/404681.

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

MLA Handbook (7th Edition):

Dzhambazov, Georgi. “Knowledge-based probabilistic modeling for tracking lyrics in music audio signals.” 2017. Web. 19 Oct 2019.

Vancouver:

Dzhambazov G. Knowledge-based probabilistic modeling for tracking lyrics in music audio signals. [Internet] [Thesis]. Universitat Pompeu Fabra; 2017. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/10803/404681.

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

Council of Science Editors:

Dzhambazov G. Knowledge-based probabilistic modeling for tracking lyrics in music audio signals. [Thesis]. Universitat Pompeu Fabra; 2017. Available from: http://hdl.handle.net/10803/404681

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

.