Wen-Hsiang Tu

According to our database1, Wen-Hsiang Tu authored at least 15 papers between 2007 and 2012.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2012
Improved modulation spectrum enhancement methods for robust speech recognition.
Signal Process., 2012

Enhancing the Magnitude Spectrum of Speech Features for Robust Speech Recognition.
EURASIP J. Adv. Signal Process., 2012

2011
Compensating the Speech Features via Discrete Cosine Transform for Robust Speech Recognition (基於離散餘弦轉換之語音特徵的強健性補償法).
Proceedings of the 23rd Conference on Computational Linguistics and Speech Processing, 2011

2010
進階式調變頻譜補償法於強健性語音辨識之研究 (Advanced Modulation Spectrum Compensation Techniques for Robust Speech Recognition) [In Chinese].
Proceedings of the 22th Conference on Computational Linguistics and Speech Processing, 2010

Magnitude spectrum enhancement for robust speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Incorporating Codebook and Utterance Information in Cepstral Statistics Normalization Techniques for Robust Speech Recognition in Additive Noise Environments.
IEEE Signal Process. Lett., 2009

Study of Associative Cepstral Statistics Normalization Techniques for Robust Speech Recognition in Additive Noise Environments.
Int. J. Comput. Linguistics Chin. Lang. Process., 2009

強健性語音辨識中分頻段調變頻譜補償之研究 (A Study of Sub-band Modulation Spectrum Compensation for Robust Speech Recognition) [In Chinese].
Proceedings of the 21st Conference on Computational Linguistics and Speech Processing, 2009

併合式倒頻譜統計正規化技術於強健性語音辨識之研究 (A Study of Hybrid-based Cepstral Statistics Normalization Techniques for Robust Speech Recognition) [In Chinese].
Proceedings of the 21st Conference on Computational Linguistics and Speech Processing, 2009

強健性語音辨識中基於小波轉換之分頻統計補償技術的研究 (A Study of Sub-band Feature Statistics Compensation Techniques Based on a Discrete Wavelet Transform for Robust Speech Recognition) [In Chinese].
Proceedings of the 21st Conference on Computational Linguistics and Speech Processing, 2009

Sub-band modulation spectrum compensation for robust speech recognition.
Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009

2008
調變頻譜正規化法使用於強健語音辨識之研究 (Study of Modulation Spectrum Normalization Techniques for Robust Speech Recognition) [In Chinese].
Proceedings of the 20th Conference on Computational Linguistics and Speech Processing, 2008

組合式倒頻譜統計正規化法於強健性語音辨識之研究 (Associative Cepstral Statistics Normalization Techniques for Robust Speech Recognition) [In Chinese].
Proceedings of the 20th Conference on Computational Linguistics and Speech Processing, 2008

強健性語音辨識中能量相關特徵之改良式正規化技術的研究 (Study of the Improved Normalization Techniques of Energy-Related Features for Robust Speech Recognition) [In Chinese].
Proceedings of the 20th Conference on Computational Linguistics and Speech Processing, 2008

2007
端點偵測技術在強健語音參數擷取之研究 (Study of the Voice Activity Detection Techniques for Robust Speech Feature Extraction) [In Chinese].
Proceedings of the 19th Conference on Computational Linguistics and Speech Processing, 2007


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