Non-linear predictive vector quantization of feature vectors for distributed speech recognition

Mapping Intimacies ◽

10.21437/interspeech.2010-650 ◽

2010 ◽

Author(s):

Jose Enrique Garcia ◽

Alfonso Ortega ◽

Antonio Miguel ◽

Eduardo Lleida

Keyword(s):

Speech Recognition ◽

Vector Quantization ◽

Distributed Speech Recognition ◽

Feature Vectors ◽

Non Linear

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Differential vector quantization of feature vectors for distributed speech recognition

10.21437/interspeech.2009-681 ◽

2009 ◽

Author(s):

Jose Enrique Garcia ◽

Alfonso Ortega ◽

Antonio Miguel ◽

Eduardo Lleida

Keyword(s):

Speech Recognition ◽

Vector Quantization ◽

Distributed Speech Recognition ◽

Feature Vectors

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Low bit rate compression methods of feature vectors for distributed speech recognition

Speech Communication ◽

10.1016/j.specom.2013.11.007 ◽

2014 ◽

Vol 58 ◽

pp. 111-123 ◽

Cited By ~ 2

Author(s):

Jose Enrique Garcia ◽

Alfonso Ortega ◽

Antonio Miguel ◽

Eduardo Lleida

Keyword(s):

Speech Recognition ◽

Bit Rate ◽

Distributed Speech Recognition ◽

Feature Vectors ◽

Low Bit Rate

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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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New speech recognition approaches based upon finite state vector quantization with structural constraints

10.1109/icassp.1988.196544 ◽

2003 ◽

Cited By ~ 1

Author(s):

P.-y. Ting ◽

C.-y. Tseng ◽

L.-s. Lee

Keyword(s):

Speech Recognition ◽

Vector Quantization ◽

State Vector ◽

Structural Constraints ◽

Finite State

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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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Speech recognition using non-linear trajectories in a formant-based articulatory layer of a multiple-level segmental HMM

10.21437/interspeech.2008-134 ◽

2008 ◽

Author(s):

Hongwei Hu ◽

Martin J. Russell

Keyword(s):

Speech Recognition ◽

Multiple Level ◽

Non Linear

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Noise robust speech recognition using Gaussian basis functions for non-linear likelihood function approximation

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.2002.5743740 ◽

2002 ◽

Author(s):

Chris Pal ◽

Brendan Frey ◽

Trausti Kristjansson

Keyword(s):

Speech Recognition ◽

Function Approximation ◽

Likelihood Function ◽

Basis Functions ◽

Robust Speech Recognition ◽

Non Linear ◽

Noise Robust Speech Recognition ◽

Gaussian Basis Functions ◽

Noise Robust

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Distributed speech recognition services (DSRS)

Proceedings International Symposium on Multimedia Software Engineering ◽

10.1109/mmse.2000.897192 ◽

2002 ◽

Author(s):

M. Coyner ◽

Tsang-Ming Jiang ◽

V. Volobouev

Keyword(s):

Speech Recognition ◽

Distributed Speech Recognition

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Parametric Density Estimation for the Classification of Acoustic Feature Vectors in Speech Recognition

Nonlinear Modeling ◽

10.1007/978-1-4615-5703-6_4 ◽

1998 ◽

pp. 87-118 ◽

Cited By ~ 5

Author(s):

Sankar Basu ◽

Charles A. Micchelli

Keyword(s):

Speech Recognition ◽

Density Estimation ◽

Acoustic Feature ◽

Feature Vectors ◽

Parametric Density

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