Hybrid NN/HMM acoustic modeling techniques for distributed speech recognition

Jan Stadermann; Gerhard Rigoll

doi:10.1016/j.specom.2006.01.007

Hybrid NN/HMM acoustic modeling techniques for distributed speech recognition

Speech Communication ◽

10.1016/j.specom.2006.01.007 ◽

2006 ◽

Vol 48 (8) ◽

pp. 1037-1046 ◽

Cited By ~ 3

Author(s):

Jan Stadermann ◽

Gerhard Rigoll

Keyword(s):

Speech Recognition ◽

Acoustic Modeling ◽

Distributed Speech Recognition ◽

Modeling Techniques

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Impact of deep MLP architecture on different acoustic modeling techniques for under-resourced speech recognition

2013 IEEE Workshop on Automatic Speech Recognition and Understanding ◽

10.1109/asru.2013.6707752 ◽

2013 ◽

Cited By ~ 10

Author(s):

David Imseng ◽

Petr Motlicek ◽

Philip N. Garner ◽

Herve Bourlard

Keyword(s):

Speech Recognition ◽

Acoustic Modeling ◽

Modeling Techniques

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Comparison of standard and hybrid modeling techniques for distributed speech recognition

IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. ◽

10.1109/asru.2001.1034608 ◽

2005 ◽

Author(s):

J. Stadermann ◽

G. Rigoll

Keyword(s):

Speech Recognition ◽

Hybrid Modeling ◽

Distributed Speech Recognition ◽

Modeling Techniques

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A comparative study on the effect of different codecs on speech recognition accuracy using various acoustic modeling techniques

2017 Twenty-third National Conference on Communications (NCC) ◽

10.1109/ncc.2017.8077042 ◽

2017 ◽

Cited By ~ 1

Author(s):

Srinivasa Raghavan ◽

Nisha Meenakshi ◽

Sanjeev Kumar Mittal ◽

Chiranjeevi Yarra ◽

Anupam Mandal ◽

...

Keyword(s):

Speech Recognition ◽

Comparative Study ◽

Recognition Accuracy ◽

Acoustic Modeling ◽

Modeling Techniques

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Review on Acoustic Modeling for Continuous Speech Recognition

i-manager s Journal on Digital Signal Processing ◽

10.26634/jdp.2.4.3145 ◽

2014 ◽

Vol 2 (4) ◽

pp. 30-33

Author(s):

R. Mohan ◽

◽

M. Kalamani ◽

Keyword(s):

Speech Recognition ◽

Acoustic Modeling ◽

Continuous Speech ◽

Continuous Speech Recognition

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Improved acoustic modeling for continuous speech recognition

10.3115/116580.116686 ◽

1990 ◽

Cited By ~ 12

Author(s):

C.-H. Lee ◽

E. Giachin ◽

L. R. Rabiner ◽

R. Pieraccini ◽

A. E. Rosenberg

Keyword(s):

Speech Recognition ◽

Acoustic Modeling ◽

Continuous Speech ◽

Continuous Speech Recognition

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Automatic Diacritization of Arabic for Acoustic Modeling in Speech Recognition

10.21236/ada457846 ◽

2004 ◽

Cited By ~ 11

Author(s):

Dimitra Vergyri ◽

Katrin Kirchhoff

Keyword(s):

Speech Recognition ◽

Acoustic Modeling

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Acoustic Modeling for Multi-Array Conversational Speech Recognition in the Chime-6 Challenge

2021 IEEE Spoken Language Technology Workshop (SLT) ◽

10.1109/slt48900.2021.9383628 ◽

2021 ◽

Author(s):

Li Chai ◽

Jun Du ◽

Di-Yuan Liu ◽

Yan-Hui Tu ◽

Chin-Hui Lee

Keyword(s):

Speech Recognition ◽

Acoustic Modeling ◽

Conversational Speech

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Joint Uncertainty Decoding (JUD) with Histogram-Based Quantization (HQ) for Robust and/or Distributed Speech Recognition

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings ◽

10.1109/icassp.2006.1659973 ◽

2006 ◽

Author(s):

Chia-yu Wan ◽

Lin-shan Lee

Keyword(s):

Speech Recognition ◽

Distributed Speech Recognition

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Soft features for improved distributed speech recognition over wireless networks

10.21437/interspeech.2004-645 ◽

2004 ◽

Author(s):

Reinhold Haeb-Umbach ◽

Valentin Ion

Keyword(s):

Wireless Networks ◽

Speech Recognition ◽

Distributed Speech Recognition

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Memory-enhanced MMSE-based channel error mitigation for distributed speech recognition

10.21437/interspeech.2005-267 ◽

2005 ◽

Author(s):

Cheng-Lung Lee ◽

Wen-Whei Chang

Keyword(s):

Speech Recognition ◽

Channel Error ◽

Distributed Speech Recognition ◽

Error Mitigation

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