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You searched for +publisher:"NSYSU" +contributor:("Chung-Hsien Wu"). Showing records 1 – 19 of 19 total matches.

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NSYSU

1. Wu, Tung-Han. Combined with Deep Neural Network De-noising Auto Encoder on Noise-Robust Digit Continuous Speech Recognition.

Degree: Master, Computer Science and Engineering, 2017, NSYSU

 In this paper, we combine the deep neural network De-noising Auto Encoder and Gaussian Mixture Model to implement an automatic speech recognition system in the… (more)

Subjects/Keywords: speech recognition; denoising auto encoder; convolutional neural network; deep learning; fully connected neural network

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

APA (6th Edition):

Wu, T. (2017). Combined with Deep Neural Network De-noising Auto Encoder on Noise-Robust Digit Continuous Speech Recognition. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0716117-130558

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):

Wu, Tung-Han. “Combined with Deep Neural Network De-noising Auto Encoder on Noise-Robust Digit Continuous Speech Recognition.” 2017. Thesis, NSYSU. Accessed August 11, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0716117-130558.

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

MLA Handbook (7th Edition):

Wu, Tung-Han. “Combined with Deep Neural Network De-noising Auto Encoder on Noise-Robust Digit Continuous Speech Recognition.” 2017. Web. 11 Aug 2020.

Vancouver:

Wu T. Combined with Deep Neural Network De-noising Auto Encoder on Noise-Robust Digit Continuous Speech Recognition. [Internet] [Thesis]. NSYSU; 2017. [cited 2020 Aug 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0716117-130558.

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

Council of Science Editors:

Wu T. Combined with Deep Neural Network De-noising Auto Encoder on Noise-Robust Digit Continuous Speech Recognition. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0716117-130558

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


NSYSU

2. Wu, Ming-Kuan. Singing Voice Synthesis System Based On Time Domain Pitch Synchronized Overlap-Add.

Degree: Master, Computer Science and Engineering, 2013, NSYSU

 In this thesis, we propose and implement a concatenation synthesis system to synthesize the singing voice with background music. For all syllables in phonetic symbols… (more)

Subjects/Keywords: concatenation synthesis; singing synthesis; TD-PSOLA

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

APA (6th Edition):

Wu, M. (2013). Singing Voice Synthesis System Based On Time Domain Pitch Synchronized Overlap-Add. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727113-132932

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):

Wu, Ming-Kuan. “Singing Voice Synthesis System Based On Time Domain Pitch Synchronized Overlap-Add.” 2013. Thesis, NSYSU. Accessed August 11, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727113-132932.

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

MLA Handbook (7th Edition):

Wu, Ming-Kuan. “Singing Voice Synthesis System Based On Time Domain Pitch Synchronized Overlap-Add.” 2013. Web. 11 Aug 2020.

Vancouver:

Wu M. Singing Voice Synthesis System Based On Time Domain Pitch Synchronized Overlap-Add. [Internet] [Thesis]. NSYSU; 2013. [cited 2020 Aug 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727113-132932.

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

Council of Science Editors:

Wu M. Singing Voice Synthesis System Based On Time Domain Pitch Synchronized Overlap-Add. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727113-132932

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


NSYSU

3. Yen, Tsung-peng. Quickly Personalizable Digit Mobile Speech Recognition System Based on Sphinx.

Degree: Master, Computer Science and Engineering, 2013, NSYSU

 In this paper, we are going to introduce a system which provide digit speech recognition services. This system is built on internet, users can easily… (more)

Subjects/Keywords: speech recognition; mobile; adapt; noise-robustness; personalizable; sphinx

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

APA (6th Edition):

Yen, T. (2013). Quickly Personalizable Digit Mobile Speech Recognition System Based on Sphinx. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727113-135938

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):

Yen, Tsung-peng. “Quickly Personalizable Digit Mobile Speech Recognition System Based on Sphinx.” 2013. Thesis, NSYSU. Accessed August 11, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727113-135938.

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

MLA Handbook (7th Edition):

Yen, Tsung-peng. “Quickly Personalizable Digit Mobile Speech Recognition System Based on Sphinx.” 2013. Web. 11 Aug 2020.

Vancouver:

Yen T. Quickly Personalizable Digit Mobile Speech Recognition System Based on Sphinx. [Internet] [Thesis]. NSYSU; 2013. [cited 2020 Aug 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727113-135938.

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

Council of Science Editors:

Yen T. Quickly Personalizable Digit Mobile Speech Recognition System Based on Sphinx. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727113-135938

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


NSYSU

4. Huang, Yu-Hung. Noise Robust Speech Recognition using Sparse Representations.

Degree: Master, Computer Science and Engineering, 2014, NSYSU

 This paper aimed at improving the noise robustness of automatic speech recognition by using a novel technique, called exemplar-based sparse representation. In this paper, we… (more)

Subjects/Keywords: sparse representation; noise robustness; exemplar dictionary; feature enhancement; speech recognition

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

APA (6th Edition):

Huang, Y. (2014). Noise Robust Speech Recognition using Sparse Representations. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801114-191423

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):

Huang, Yu-Hung. “Noise Robust Speech Recognition using Sparse Representations.” 2014. Thesis, NSYSU. Accessed August 11, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801114-191423.

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

MLA Handbook (7th Edition):

Huang, Yu-Hung. “Noise Robust Speech Recognition using Sparse Representations.” 2014. Web. 11 Aug 2020.

Vancouver:

Huang Y. Noise Robust Speech Recognition using Sparse Representations. [Internet] [Thesis]. NSYSU; 2014. [cited 2020 Aug 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801114-191423.

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

Council of Science Editors:

Huang Y. Noise Robust Speech Recognition using Sparse Representations. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801114-191423

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


NSYSU

5. Shih, Po-Yuan. Skewness-Robust Neural Networks with Application to Speech Emotion Recognition.

Degree: Master, Computer Science and Engineering, 2016, NSYSU

 In this paper, we propose a speech emotion recognition system on the well-known FAU-Aibo database with neural network, and compare to the results of support… (more)

Subjects/Keywords: Neural Network; Skewed Data; Histogram Equalization; Importance Weighting; Speech Emotion Recognition

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

APA (6th Edition):

Shih, P. (2016). Skewness-Robust Neural Networks with Application to Speech Emotion Recognition. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731116-160031

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):

Shih, Po-Yuan. “Skewness-Robust Neural Networks with Application to Speech Emotion Recognition.” 2016. Thesis, NSYSU. Accessed August 11, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731116-160031.

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

MLA Handbook (7th Edition):

Shih, Po-Yuan. “Skewness-Robust Neural Networks with Application to Speech Emotion Recognition.” 2016. Web. 11 Aug 2020.

Vancouver:

Shih P. Skewness-Robust Neural Networks with Application to Speech Emotion Recognition. [Internet] [Thesis]. NSYSU; 2016. [cited 2020 Aug 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731116-160031.

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

Council of Science Editors:

Shih P. Skewness-Robust Neural Networks with Application to Speech Emotion Recognition. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731116-160031

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


NSYSU

6. Chiou, Bo-Chang. Cross-Lingual Automatic Speech Emotion Recognition.

Degree: Master, Computer Science and Engineering, 2014, NSYSU

 In this paper, we propose a speech emotion recognition system which adopt acoustic feature with support vector machine. Our research evaluates on the well-known Berlin… (more)

Subjects/Keywords: Histogram Equalization; Building Speech Emotion Database; Cross-Lingual; Speech Emotion Recognition

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APA (6th Edition):

Chiou, B. (2014). Cross-Lingual Automatic Speech Emotion Recognition. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730114-173740

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):

Chiou, Bo-Chang. “Cross-Lingual Automatic Speech Emotion Recognition.” 2014. Thesis, NSYSU. Accessed August 11, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730114-173740.

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

MLA Handbook (7th Edition):

Chiou, Bo-Chang. “Cross-Lingual Automatic Speech Emotion Recognition.” 2014. Web. 11 Aug 2020.

Vancouver:

Chiou B. Cross-Lingual Automatic Speech Emotion Recognition. [Internet] [Thesis]. NSYSU; 2014. [cited 2020 Aug 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730114-173740.

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

Council of Science Editors:

Chiou B. Cross-Lingual Automatic Speech Emotion Recognition. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730114-173740

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


NSYSU

7. Hsu, Yu-jen. Emotion Recognition of Music Clips.

Degree: Master, Computer Science and Engineering, 2014, NSYSU

 In this paper, we propose the architecture of music emotion recognition for short time songs. First, we use Thayerâs 2-Dimentional plane as our music emotion… (more)

Subjects/Keywords: Post-Process; Fusion Architecture; SVM; Music Emotion Recognition

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

APA (6th Edition):

Hsu, Y. (2014). Emotion Recognition of Music Clips. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801114-112329

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):

Hsu, Yu-jen. “Emotion Recognition of Music Clips.” 2014. Thesis, NSYSU. Accessed August 11, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801114-112329.

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

MLA Handbook (7th Edition):

Hsu, Yu-jen. “Emotion Recognition of Music Clips.” 2014. Web. 11 Aug 2020.

Vancouver:

Hsu Y. Emotion Recognition of Music Clips. [Internet] [Thesis]. NSYSU; 2014. [cited 2020 Aug 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801114-112329.

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

Council of Science Editors:

Hsu Y. Emotion Recognition of Music Clips. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801114-112329

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


NSYSU

8. Chen, Chia-ying. Speech Emotion Recognition Using Factor Analysis and Identity Vectors.

Degree: Master, Computer Science and Engineering, 2016, NSYSU

 In this paper, we challenge INTERSPEECH 2009 Emotion open performance sub-Challenge of 5 class problem. Our research evaluates on the well-known FAU Aibo database. We… (more)

Subjects/Keywords: i-vector; Speech Emotion Recognition; Vocal Tract Length Normalization; Gaussian Mixture Model; Support Vector Machine

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

APA (6th Edition):

Chen, C. (2016). Speech Emotion Recognition Using Factor Analysis and Identity Vectors. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0809116-110726

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):

Chen, Chia-ying. “Speech Emotion Recognition Using Factor Analysis and Identity Vectors.” 2016. Thesis, NSYSU. Accessed August 11, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0809116-110726.

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

MLA Handbook (7th Edition):

Chen, Chia-ying. “Speech Emotion Recognition Using Factor Analysis and Identity Vectors.” 2016. Web. 11 Aug 2020.

Vancouver:

Chen C. Speech Emotion Recognition Using Factor Analysis and Identity Vectors. [Internet] [Thesis]. NSYSU; 2016. [cited 2020 Aug 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0809116-110726.

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

Council of Science Editors:

Chen C. Speech Emotion Recognition Using Factor Analysis and Identity Vectors. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0809116-110726

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


NSYSU

9. Wu, Po-feng. Voice Command for Google Map.

Degree: Master, Computer Science and Engineering, 2012, NSYSU

 In this research, we integrate the voice commands technique into Google Map. It means that we can control part of the movements for Google Map… (more)

Subjects/Keywords: voice command; decoder; Google Map

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

APA (6th Edition):

Wu, P. (2012). Voice Command for Google Map. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0518112-140702

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):

Wu, Po-feng. “Voice Command for Google Map.” 2012. Thesis, NSYSU. Accessed August 11, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0518112-140702.

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

MLA Handbook (7th Edition):

Wu, Po-feng. “Voice Command for Google Map.” 2012. Web. 11 Aug 2020.

Vancouver:

Wu P. Voice Command for Google Map. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Aug 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0518112-140702.

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

Council of Science Editors:

Wu P. Voice Command for Google Map. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0518112-140702

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


NSYSU

10. Hsu, Feng-Ho. Chinese input method based on reduced phonetic transcription.

Degree: Master, Computer Science and Engineering, 2012, NSYSU

 In this paper, we investigate a highly efficient input method in Chinese. In the traditional Mandarin phonetic input method, users have to input the complete… (more)

Subjects/Keywords: smoothing; language model; Chinese input method; dynamic programing

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

APA (6th Edition):

Hsu, F. (2012). Chinese input method based on reduced phonetic transcription. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0522112-103522

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):

Hsu, Feng-Ho. “Chinese input method based on reduced phonetic transcription.” 2012. Thesis, NSYSU. Accessed August 11, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0522112-103522.

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

MLA Handbook (7th Edition):

Hsu, Feng-Ho. “Chinese input method based on reduced phonetic transcription.” 2012. Web. 11 Aug 2020.

Vancouver:

Hsu F. Chinese input method based on reduced phonetic transcription. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Aug 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0522112-103522.

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

Council of Science Editors:

Hsu F. Chinese input method based on reduced phonetic transcription. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0522112-103522

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


NSYSU

11. Huang, Chung-Hsiang. Comparison of Description Length for Text Corpus.

Degree: Master, Computer Science and Engineering, 2012, NSYSU

 In this thesis, we compare the description length of different grammars, and extend the research of automatic grammar learning to the grammar production of Stanford… (more)

Subjects/Keywords: grammar learning; context-free grammar; description length; parse tree; Stanford parser

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

APA (6th Edition):

Huang, C. (2012). Comparison of Description Length for Text Corpus. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0524112-180320

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):

Huang, Chung-Hsiang. “Comparison of Description Length for Text Corpus.” 2012. Thesis, NSYSU. Accessed August 11, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0524112-180320.

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

MLA Handbook (7th Edition):

Huang, Chung-Hsiang. “Comparison of Description Length for Text Corpus.” 2012. Web. 11 Aug 2020.

Vancouver:

Huang C. Comparison of Description Length for Text Corpus. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Aug 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0524112-180320.

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

Council of Science Editors:

Huang C. Comparison of Description Length for Text Corpus. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0524112-180320

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


NSYSU

12. Luan, Miau. Data-Driven Rescaling of Energy Features for Noisy Speech Recognition.

Degree: Master, Computer Science and Engineering, 2012, NSYSU

 In this paper, we investigate rescaling of energy features for noise-robust speech recognition. The performance of the speech recognition system will degrade very quickly by… (more)

Subjects/Keywords: voice activity detection; energy rescale; Teager energy; noise-robust speech recognition; data-driven

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

APA (6th Edition):

Luan, M. (2012). Data-Driven Rescaling of Energy Features for Noisy Speech Recognition. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0718112-111800

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):

Luan, Miau. “Data-Driven Rescaling of Energy Features for Noisy Speech Recognition.” 2012. Thesis, NSYSU. Accessed August 11, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0718112-111800.

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

MLA Handbook (7th Edition):

Luan, Miau. “Data-Driven Rescaling of Energy Features for Noisy Speech Recognition.” 2012. Web. 11 Aug 2020.

Vancouver:

Luan M. Data-Driven Rescaling of Energy Features for Noisy Speech Recognition. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Aug 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0718112-111800.

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

Council of Science Editors:

Luan M. Data-Driven Rescaling of Energy Features for Noisy Speech Recognition. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0718112-111800

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


NSYSU

13. Hsu, Chih-Yu. Using Latin Square Design To Evaluate Model Interpolation And Adaptation Based Emotional Speech Synthesis.

Degree: Master, Computer Science and Engineering, 2012, NSYSU

 ããIn this thesis, we use a hidden Markov model which can use a small amount of corpus to synthesize speech with certain quality to implement… (more)

Subjects/Keywords: model interpolation; Latin-square design; hidden Markov model; model adaptation; emotional speech synthesis; Mahalanobis distance

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

APA (6th Edition):

Hsu, C. (2012). Using Latin Square Design To Evaluate Model Interpolation And Adaptation Based Emotional Speech Synthesis. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719112-143512

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):

Hsu, Chih-Yu. “Using Latin Square Design To Evaluate Model Interpolation And Adaptation Based Emotional Speech Synthesis.” 2012. Thesis, NSYSU. Accessed August 11, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719112-143512.

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

MLA Handbook (7th Edition):

Hsu, Chih-Yu. “Using Latin Square Design To Evaluate Model Interpolation And Adaptation Based Emotional Speech Synthesis.” 2012. Web. 11 Aug 2020.

Vancouver:

Hsu C. Using Latin Square Design To Evaluate Model Interpolation And Adaptation Based Emotional Speech Synthesis. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Aug 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719112-143512.

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

Council of Science Editors:

Hsu C. Using Latin Square Design To Evaluate Model Interpolation And Adaptation Based Emotional Speech Synthesis. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719112-143512

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


NSYSU

14. Yeh, Bing-Feng. Gaussian Mixture Model-based Feature Compensation with Application to Noise-robust Speech Recognition.

Degree: Master, Computer Science and Engineering, 2012, NSYSU

 In this paper, we propose a new method for noise robustness base on Gaussian Mixture Model (GMM), and the method we proposed can estimate the… (more)

Subjects/Keywords: MMSE; GMM; Noise Robustness

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

APA (6th Edition):

Yeh, B. (2012). Gaussian Mixture Model-based Feature Compensation with Application to Noise-robust Speech Recognition. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0828112-195916

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):

Yeh, Bing-Feng. “Gaussian Mixture Model-based Feature Compensation with Application to Noise-robust Speech Recognition.” 2012. Thesis, NSYSU. Accessed August 11, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0828112-195916.

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

MLA Handbook (7th Edition):

Yeh, Bing-Feng. “Gaussian Mixture Model-based Feature Compensation with Application to Noise-robust Speech Recognition.” 2012. Web. 11 Aug 2020.

Vancouver:

Yeh B. Gaussian Mixture Model-based Feature Compensation with Application to Noise-robust Speech Recognition. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Aug 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0828112-195916.

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

Council of Science Editors:

Yeh B. Gaussian Mixture Model-based Feature Compensation with Application to Noise-robust Speech Recognition. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0828112-195916

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


NSYSU

15. Tseng, Tzu-Hsuan. Sentiment Analysis on Social Network: Using Emoticon Characteristic for Twitter Polarity Classification.

Degree: Master, Computer Science and Engineering, 2017, NSYSU

 This study aims to improve the sentiment analysis system based on our previous system participating in SemEval-2017. We implemented a Twitter sentiment analysis system for… (more)

Subjects/Keywords: Machine Learning; Polarity Classification; Sentiment Analysis; Word Embedding; Neural Network

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

APA (6th Edition):

Tseng, T. (2017). Sentiment Analysis on Social Network: Using Emoticon Characteristic for Twitter Polarity Classification. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0722117-023140

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):

Tseng, Tzu-Hsuan. “Sentiment Analysis on Social Network: Using Emoticon Characteristic for Twitter Polarity Classification.” 2017. Thesis, NSYSU. Accessed August 11, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0722117-023140.

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

MLA Handbook (7th Edition):

Tseng, Tzu-Hsuan. “Sentiment Analysis on Social Network: Using Emoticon Characteristic for Twitter Polarity Classification.” 2017. Web. 11 Aug 2020.

Vancouver:

Tseng T. Sentiment Analysis on Social Network: Using Emoticon Characteristic for Twitter Polarity Classification. [Internet] [Thesis]. NSYSU; 2017. [cited 2020 Aug 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0722117-023140.

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

Council of Science Editors:

Tseng T. Sentiment Analysis on Social Network: Using Emoticon Characteristic for Twitter Polarity Classification. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0722117-023140

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


NSYSU

16. Chan, Chia-hsien. Ten Classes of Image Recognition Using Generative Adversarial Networks.

Degree: Master, Computer Science and Engineering, 2017, NSYSU

 In this paper, we use artificial examples synthesized by deep convolutional generative adversarial netwoeks in image recognition. First, class dependent generative adversarial networks (GAN) are… (more)

Subjects/Keywords: adversarial training; image recognition; generative adversarial netwoeks; all convolutional net; deep convolutional generative adversarial netwoeks

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

APA (6th Edition):

Chan, C. (2017). Ten Classes of Image Recognition Using Generative Adversarial Networks. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0721117-160522

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):

Chan, Chia-hsien. “Ten Classes of Image Recognition Using Generative Adversarial Networks.” 2017. Thesis, NSYSU. Accessed August 11, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0721117-160522.

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

MLA Handbook (7th Edition):

Chan, Chia-hsien. “Ten Classes of Image Recognition Using Generative Adversarial Networks.” 2017. Web. 11 Aug 2020.

Vancouver:

Chan C. Ten Classes of Image Recognition Using Generative Adversarial Networks. [Internet] [Thesis]. NSYSU; 2017. [cited 2020 Aug 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0721117-160522.

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

Council of Science Editors:

Chan C. Ten Classes of Image Recognition Using Generative Adversarial Networks. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0721117-160522

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


NSYSU

17. Yang, Tzu-Hsuan. Text Sentiment Analysis on Social Network:Using Polarity and Number of Sentiment Words for Twitter Polarity Classification.

Degree: Master, Computer Science and Engineering, 2017, NSYSU

 In this paper, we participate in the task on SemEval, which is sentiment analysis in Twitter. We implement a recognition system for the polarity classification.… (more)

Subjects/Keywords: Sentiment Analysis; Machine Learning; Polarity Classification; Neural Network; Word Embedding

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

APA (6th Edition):

Yang, T. (2017). Text Sentiment Analysis on Social Network:Using Polarity and Number of Sentiment Words for Twitter Polarity Classification. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0722117-162231

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):

Yang, Tzu-Hsuan. “Text Sentiment Analysis on Social Network:Using Polarity and Number of Sentiment Words for Twitter Polarity Classification.” 2017. Thesis, NSYSU. Accessed August 11, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0722117-162231.

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

MLA Handbook (7th Edition):

Yang, Tzu-Hsuan. “Text Sentiment Analysis on Social Network:Using Polarity and Number of Sentiment Words for Twitter Polarity Classification.” 2017. Web. 11 Aug 2020.

Vancouver:

Yang T. Text Sentiment Analysis on Social Network:Using Polarity and Number of Sentiment Words for Twitter Polarity Classification. [Internet] [Thesis]. NSYSU; 2017. [cited 2020 Aug 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0722117-162231.

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

Council of Science Editors:

Yang T. Text Sentiment Analysis on Social Network:Using Polarity and Number of Sentiment Words for Twitter Polarity Classification. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0722117-162231

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


NSYSU

18. Hsiao, Po-Wei. Deep Neural Networks and Ensemble Learning with Application to Speech Emotion Recognition.

Degree: Master, Computer Science and Engineering, 2018, NSYSU

 This study uses deep neural networks to construct the static and dynamic speech emotion recognition systems and integrates the static and dynamic models by ensemble… (more)

Subjects/Keywords: attention mechanism; speech emotion recognition; ensemble learning; deep neural networks

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

APA (6th Edition):

Hsiao, P. (2018). Deep Neural Networks and Ensemble Learning with Application to Speech Emotion Recognition. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730118-100155

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):

Hsiao, Po-Wei. “Deep Neural Networks and Ensemble Learning with Application to Speech Emotion Recognition.” 2018. Thesis, NSYSU. Accessed August 11, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730118-100155.

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

MLA Handbook (7th Edition):

Hsiao, Po-Wei. “Deep Neural Networks and Ensemble Learning with Application to Speech Emotion Recognition.” 2018. Web. 11 Aug 2020.

Vancouver:

Hsiao P. Deep Neural Networks and Ensemble Learning with Application to Speech Emotion Recognition. [Internet] [Thesis]. NSYSU; 2018. [cited 2020 Aug 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730118-100155.

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

Council of Science Editors:

Hsiao P. Deep Neural Networks and Ensemble Learning with Application to Speech Emotion Recognition. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730118-100155

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


NSYSU

19. Chiou, Sheng-chiuan. Auditory Based Modification of MFCC Feature Extraction for Robust Automatic Speech Recognition.

Degree: Master, Computer Science and Engineering, 2009, NSYSU

 The human auditory perception system is much more noise-robust than any state-of theart automatic speech recognition (ASR) system. It is expected that the noise-robustness of… (more)

Subjects/Keywords: forward masking; auditory model; syanptic adaptation; temporal integration; noise robust; ASR; automatic speech recognition

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

APA (6th Edition):

Chiou, S. (2009). Auditory Based Modification of MFCC Feature Extraction for Robust Automatic Speech Recognition. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0901109-143419

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):

Chiou, Sheng-chiuan. “Auditory Based Modification of MFCC Feature Extraction for Robust Automatic Speech Recognition.” 2009. Thesis, NSYSU. Accessed August 11, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0901109-143419.

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

MLA Handbook (7th Edition):

Chiou, Sheng-chiuan. “Auditory Based Modification of MFCC Feature Extraction for Robust Automatic Speech Recognition.” 2009. Web. 11 Aug 2020.

Vancouver:

Chiou S. Auditory Based Modification of MFCC Feature Extraction for Robust Automatic Speech Recognition. [Internet] [Thesis]. NSYSU; 2009. [cited 2020 Aug 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0901109-143419.

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

Council of Science Editors:

Chiou S. Auditory Based Modification of MFCC Feature Extraction for Robust Automatic Speech Recognition. [Thesis]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0901109-143419

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

.