Performance estimation of noisy speech recognition using spectral distortion and recognition task complexity

Ling Guo; Takeshi Yamada; Shigeki Miyabe; Shoji Makino; Nobuhiko Kitawaki

doi:10.1250/ast.37.286

Performance estimation of noisy speech recognition using spectral distortion and recognition task complexity

Acoustical Science and Technology ◽

10.1250/ast.37.286 ◽

2016 ◽

Vol 37 (6) ◽

pp. 286-294

Author(s):

Ling Guo ◽

Takeshi Yamada ◽

Shigeki Miyabe ◽

Shoji Makino ◽

Nobuhiko Kitawaki

Keyword(s):

Speech Recognition ◽

Task Complexity ◽

Recognition Task ◽

Performance Estimation ◽

Spectral Distortion ◽

Noisy Speech ◽

Noisy Speech Recognition

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Performance estimation of noisy speech recognition considering recognition task complexity

10.21437/interspeech.2010-577 ◽

2010 ◽

Author(s):

Takeshi Yamada ◽

Tomohiro Nakajima ◽

Nobuhiko Kitawaki ◽

Shoji Makino

Keyword(s):

Speech Recognition ◽

Task Complexity ◽

Recognition Task ◽

Performance Estimation ◽

Noisy Speech ◽

Noisy Speech Recognition

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Performance estimation of noisy speech recognition using spectral distortion and SNR of noise-reduced speech

2013 IEEE International Conference of IEEE Region 10 (TENCON 2013) ◽

10.1109/tencon.2013.6718993 ◽

2013 ◽

Cited By ~ 1

Author(s):

Guo Ling ◽

Takeshi Yamada ◽

Shoji Makino ◽

Nobuhiko Kitawaki

Keyword(s):

Speech Recognition ◽

Performance Estimation ◽

Spectral Distortion ◽

Noisy Speech ◽

Noisy Speech Recognition

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Performance estimation of speech recognition based on Perceptual Evaluation of Speech Quality and acoustic parameters under noisy and reverberant environments with Corpus and Environment for Noisy Speech RECognition 4

The Journal of the Acoustical Society of America ◽

10.1121/1.4805220 ◽

2013 ◽

Vol 133 (5) ◽

pp. 3248-3248

Author(s):

Takahiro Fukumori ◽

Masato Nakayama ◽

Takanobu Nishiura ◽

Yoichi Yamashita

Keyword(s):

Speech Recognition ◽

Speech Quality ◽

Performance Estimation ◽

Acoustic Parameters ◽

Noisy Speech ◽

Perceptual Evaluation ◽

Reverberant Environments ◽

Noisy Speech Recognition

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Performance estimation of speech recognition based on Perceptual Evaluation of Speech Quality (PESQ) and acoustic parameters under noisy and reverberant environments with Corpus and Environment for Noisy Speech RECognition 4 (CENSREC-4)

10.1121/1.4800610 ◽

2013 ◽

Author(s):

Takahiro Fukumori ◽

Masato Nakayama ◽

Takanobu Nishiura ◽

Yoichi Yamashita

Keyword(s):

Speech Recognition ◽

Speech Quality ◽

Performance Estimation ◽

Acoustic Parameters ◽

Noisy Speech ◽

Perceptual Evaluation ◽

Reverberant Environments ◽

Noisy Speech Recognition

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Joint Optimization of Denoising Autoencoder and DNN Acoustic Model Based on Multi-Target Learning for Noisy Speech Recognition

10.21437/interspeech.2016-388 ◽

2016 ◽

Cited By ~ 10

Author(s):

Masato Mimura ◽

Shinsuke Sakai ◽

Tatsuya Kawahara

Keyword(s):

Speech Recognition ◽

Joint Optimization ◽

Acoustic Model ◽

Denoising Autoencoder ◽

Noisy Speech ◽

Model Based ◽

Noisy Speech Recognition

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An improved parallel model combination method for noisy speech recognition

2009 IEEE Workshop on Automatic Speech Recognition & Understanding ◽

10.1109/asru.2009.5373332 ◽

2009 ◽

Cited By ~ 2

Author(s):

Hadi Veisi ◽

Hossein Sameti

Keyword(s):

Speech Recognition ◽

Combination Method ◽

Parallel Model ◽

Model Combination ◽

Noisy Speech ◽

Noisy Speech Recognition

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Noisy speech recognition based on HMMs, Wiener filters and re-evaluation of most likely candidates

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.1993.319241 ◽

1993 ◽

Cited By ~ 2

Author(s):

S.V. Vaseghi ◽

B.P. Milner

Keyword(s):

Speech Recognition ◽

Noisy Speech ◽

Wiener Filters ◽

Noisy Speech Recognition

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A novel classifier modification approach to missing data problem for noisy speech recognition

7'th International Symposium on Telecommunications (IST'2014) ◽

10.1109/istel.2014.7000747 ◽

2014 ◽

Cited By ~ 1

Author(s):

Kian Ebrahim Kafoori ◽

Seyed Mohammad Ahadi

Keyword(s):

Speech Recognition ◽

Missing Data ◽

Noisy Speech ◽

Missing Data Problem ◽

Data Problem ◽

Noisy Speech Recognition

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Word Graph Based Feature Enhancement for Noisy Speech Recognition

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 ◽

10.1109/icassp.2007.366927 ◽

2007 ◽

Cited By ~ 5

Author(s):

Zhi-Jie Yan ◽

Frank K. Soong ◽

Ren-Hua Wang

Keyword(s):

Speech Recognition ◽

Noisy Speech ◽

Feature Enhancement ◽

Noisy Speech Recognition

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Unsupervised Beamforming Based on Multichannel Nonnegative Matrix Factorization for Noisy Speech Recognition

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2018.8462642 ◽

2018 ◽

Cited By ~ 4

Author(s):

Kazuki Shimada ◽

Yoshiaki Bando ◽

Masato Mimura ◽

Katsutoshi Itoyama ◽

Kazuyoshi Yoshii ◽

...

Keyword(s):

Speech Recognition ◽

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

Nonnegative Matrix ◽

Noisy Speech ◽

Noisy Speech Recognition

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