Search Results

Acoustic Modelling Using Continuous Rational Kernels

Authors: Layton, Martin; Gales, Mark

Source: The Journal of VLSI Signal Processing, Volume 48, Numbers 1-2, August 2007 , pp. 67-82(16)

Publisher: Springer

"ASTRA" An Automatic Speaker Tracking System based on SOSM measures and an Interlaced Indexing

Authors: Sayoud, H.; Ouamour-Sayoud, S.; Boudraa, M.

Source: Acta Acustica united with Acustica, Volume 89, Number 4, July/August 2003 , pp. 702-710(9)

Publisher: S. Hirzel Verlag

Non-parametric probability estimation for HMM-based automatic speech recognition

Author: Lefevre F.

Source: Computer Speech & Language, Volume 17, Number 2, April 2003 , pp. 113-136(24)

Publisher: Elsevier

Speech Dimensionality Analysis on Hypercubical Self-Organizing Maps

Author: Somervuo P.

Source: Neural Processing Letters, Volume 17, Number 2, April 2003 , pp. 125-136(12)

Publisher: Springer

Phoneme recognition using wavelet based features

Authors: Farooq O.; Datta S.

Source: Information Sciences, Volume 150, Number 1, March 2003 , pp. 5-15(11)

Publisher: Elsevier

Overall risk criterion estimation of hidden Markov model parameters

Authors: Kaiser J.; Horvat B.; Kacic Z.

Source: Speech Communication, Volume 38, Number 3, November 2002 , pp. 383-398(16)

Publisher: Elsevier

Compensation of channel and noise distortions combining normalization and speech enhancement techniques

Authors: Menendez-Pidal X.; Chen R.; Wu D.; Tanaka M.

Source: Speech Communication, Volume 34, Number 1, April 2001 , pp. 115-126(12)

Publisher: Elsevier

Distortion-class modeling for robust speech recognition under GSM RPE-LTP coding

Authors: Huerta J.M.; Stern R.M.

Source: Speech Communication, Volume 34, Number 1, April 2001 , pp. 213-225(13)

Publisher: Elsevier

Multi-resolution sub-band features and models for HMM-based phonetic modelling

Authors: McCourt P.M.; Vaseghi S.V.; Doherty B.

Source: Computer Speech & Language, Volume 14, Number 3, July 2000 , pp. 241-259(19)

Publisher: Elsevier

Detection of phonological features in continuous speech using neural networks

Authors: King S.; Taylor P.

Source: Computer Speech & Language, Volume 14, Number 4, October 2000 , pp. 333-353(21)

Publisher: Elsevier

Detection of phonological features in continuous speech using neural networks

Authors: King S.; Taylor P.

Source: Computer Speech & Language, Volume 14, Number 4, October 2000 , pp. 333-353(21)

Publisher: Academic Press

Multi-resolution sub-band features and models for HMM-based phonetic modelling

Authors: McCourt P.M.; Vaseghi S.V.; Doherty B.

Source: Computer Speech & Language, Volume 14, Number 3, July 2000 , pp. 241-259(19)

Publisher: Academic Press

A Bayesian triphone model

Authors: Ming J.; Smith F.J.

Source: Computer Speech & Language, Volume 13, Number 2, April 1999 , pp. 195-206(12)

Publisher: Elsevier

Parametric subspace modeling of speech transitions

Authors: Reinhard K.; Niranjan M.

Source: Speech Communication, Volume 27, Number 1, February 1999 , pp. 19-42(24)

Publisher: Elsevier

Modeling the precedence effect for speech using the gamma filter

Authors: Schwartz O.; G. Harris J.; C. Principe J.

Source: Neural Networks, Volume 12, Number 3, April 1999 , pp. 409-417(9)

Publisher: Elsevier

A Bayesian triphone model

Authors: Ming J.; Smith F.J.

Source: Computer Speech & Language, Volume 13, Number 2, April 1999 , pp. 195-206(12)

Publisher: Academic Press

An energy-constrained signal subspace method for speech enhancement and recognition in white and colored noises

Authors: Huang J.; Zhao Y.

Source: Speech Communication, Volume 26, Number 3, November 1998 , pp. 165-181(17)

Publisher: Elsevier

Pre-recognition measures of speaking rate

Authors: Samudravijaya K.; Singh S.K.; Rao P.V.S.

Source: Speech Communication, Volume 24, Number 1, April 1998 , pp. 73-84(12)

Publisher: Elsevier

Text-independent speaker recognition using non-linear frame likelihood transformation

Authors: Markov K.P.; Nakagawa S.

Source: Speech Communication, Volume 24, Number 3, June 1998 , pp. 193-209(17)

Publisher: Elsevier

A maximum model distance approach for HMM-based speech recognition

Authors: Kwong S.; He Q.H.; Man K.F.; Tang K.S.

Source: Pattern Recognition, Volume 31, Number 3, March 1998 , pp. 219-229(11)

Publisher: Elsevier