Data-Driven Jacobian Adaptation in a Multi-model Structure for Noisy Speech Recognition

Pattern Recognition and Image Analysis - Lecture Notes in Computer Science ◽

10.1007/978-3-540-72849-8_57 ◽

2007 ◽

pp. 452-459

Author(s):

Yong-Joo Chung ◽

Keun-Sung Bae

Keyword(s):

Speech Recognition ◽

Data Driven ◽

Model Structure ◽

Noisy Speech ◽

Noisy Speech Recognition

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A data-driven approach for the model parameter compensation in noisy speech recognition

10.21437/interspeech.2005-229 ◽

2005 ◽

Author(s):

Yong-Joo Chung

Keyword(s):

Speech Recognition ◽

Data Driven ◽

Noisy Speech ◽

Model Parameter ◽

Data Driven Approach ◽

Noisy Speech Recognition ◽

Parameter Compensation

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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 ◽

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 ◽

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 ◽

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 ◽

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 ◽

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 ◽

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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Cepstral Normalization Combined with CSFN for Noisy Speech Recognition

Journal of Korea Multimedia Society ◽

10.9717/kmms.2011.14.10.1221 ◽

2011 ◽

Vol 14 (10) ◽

pp. 1221-1228

Author(s):

Sook-Nam Choi ◽

Guang-Hu Shen ◽

Hyun-Yeol Chung

Keyword(s):

Speech Recognition ◽

Noisy Speech ◽

Noisy Speech Recognition

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Discriminative approach to dynamic variance adaptation for noisy speech recognition

2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays ◽

10.1109/hscma.2011.5942414 ◽

2011 ◽

Author(s):

Marc Delcroix ◽

Shinji Watanabe ◽

Tomohiro Nakatani ◽

Atsushi Nakamura

Keyword(s):

Speech Recognition ◽

Noisy Speech ◽

Discriminative Approach ◽

Noisy Speech Recognition

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Complex spectrum circle centroid for microphone-array-based noisy speech recognition

10.21437/interspeech.2004-306 ◽

2004 ◽

Author(s):

Shigeki Sagayama ◽

Okajima Takashi ◽

Kamamoto Yutaka ◽

Nishimoto Takuya

Keyword(s):

Speech Recognition ◽

Microphone Array ◽

Complex Spectrum ◽

Noisy Speech ◽

Noisy Speech Recognition

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