A Trajectory-based Parallel Model Combination with a unified static and dynamic parameter compensation for noisy speech recognition

2011 IEEE Workshop on Automatic Speech Recognition & Understanding ◽

10.1109/asru.2011.6163914 ◽

2011 ◽

Author(s):

Khe Chai Sim ◽

Minh-Thang Luong

Keyword(s):

Speech Recognition ◽

Dynamic Parameter ◽

Parallel Model ◽

Model Combination ◽

Noisy Speech ◽

Noisy Speech Recognition ◽

Parameter Compensation

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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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Adaptive Parallel Model Combination for reduced environmental mismatch in noisy speech recognition

10.1109/iced.2008.4786758 ◽

2008 ◽

Author(s):

S. S. Tan ◽

Abdul Manan Ahmad

Keyword(s):

Speech Recognition ◽

Parallel Model ◽

Model Combination ◽

Noisy Speech ◽

Noisy Speech Recognition

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A fast algorithm for parallel model combination for noisy speech recognition

Computer Speech & Language ◽

10.1006/csla.2000.0137 ◽

2000 ◽

Vol 14 (2) ◽

pp. 81-100 ◽

Author(s):

Tai-Hwei Hwang ◽

Hsiao-Chuan Wang

Keyword(s):

Speech Recognition ◽

Fast Algorithm ◽

Parallel Model ◽

Model Combination ◽

Noisy Speech ◽

Noisy Speech Recognition

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A dynamic parameter compensation method for noisy speech recognition

Speech Communication ◽

10.1016/j.specom.2006.06.005 ◽

2006 ◽

Vol 48 (10) ◽

pp. 1283-1293 ◽

Author(s):

Geng-xin Ning ◽

Shu-hung Leung ◽

Kam-keung Chu ◽

Gang Wei

Keyword(s):

Speech Recognition ◽

Dynamic Parameter ◽

Compensation Method ◽

Noisy Speech ◽

Noisy Speech Recognition ◽

Parameter Compensation

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Cepstrum-domain model combination based on decomposition of speech and noise for noisy speech recognition

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.2002.5743691 ◽

2002 ◽

Author(s):

Hong Kook Kim ◽

Richard C. Rose

Keyword(s):

Speech Recognition ◽

Domain Model ◽

Model Combination ◽

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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Cepstrum-domain model combination based on decomposition of speech and noise for noisy speech recognition

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.2002.1005713 ◽

2002 ◽

Author(s):

Hong Kook Kim ◽

Rose

Keyword(s):

Speech Recognition ◽

Domain Model ◽

Model Combination ◽

Noisy Speech ◽

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 ◽

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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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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