Robust automatic speech recognition with missing and unreliable acoustic data

Robust automatic speech recognition with missing and unreliable acoustic data (2001)

Cached

Download Links

by Martin Cooke , Phil Green , Ljubomir Josifovski , Ascension Vizinho

Venue:	Speech Communication
Citations:	159 - 19 self

BibTeX

@ARTICLE{Cooke01robustautomatic,
    author = {Martin Cooke and Phil Green and Ljubomir Josifovski and Ascension Vizinho},
    title = {Robust automatic speech recognition with missing and unreliable acoustic data},
    journal = {Speech Communication},
    year = {2001},
    volume = {34},
    pages = {267--285}
}

Years of Citing Articles

Bookmark

OpenURL

Abstract

Citations

1034	Independent component analysis: A new concept - COMON - 1994
830	An information-maximization approach to blind separation and blind deconvolution - Bell, Sejnowski - 1995
362	Auditory Scene Analysis - Bregman - 1990
157	Supervised learning from incomplete data via an EM approach - Ghahramani, Jordan - 1994
132	Hidden Markov model decomposition of speech and noise - Varga, Moore - 1990
130	A database for speaker-independent digit recognition - Leonard - 1984
124	Fundamentals of computational auditory scene analysis - Wang, Brown - 2006
124	Prediction-driven computational auditory scene analysis - Ellis - 1996
106	A new ASR approach based on independent processing and recombination of partial frequency bands - Bourlard, Dupont - 1996
105	A neural cocktail-party processor - Malsburg, Schneider - 1986
101	Speech recognition by machines and humans - Lippmann - 1997
97	How do humans process and recognize speech - Allen - 1994
71	The NOISEX-92 study on the effect of additive noise on automatic speech recognition - Varga, Steeneken, et al. - 1992
63	Modelling auditory processing and organisation - Cooke - 1993
56	Noise estimation techniques for robust speech recognition - Hirsch, Ehrlicher - 1995
54	Towards ASR on partially corrupted speech - Hermansky, Tibrewala, et al. - 1996
50	Speech and hearing in communication - Fletcher - 1953
48	Some solutions to the missing features problem in data classification, with application to noise robust asr - Morris, Cooke, et al. - 1998
43	Using missing feature theory to actively select features for robust speech regonition with interruptions filtering and noise - Lippmann, Carlson - 1997
33	HMM recognition in noise using parallel model combination - Gales, Young - 1993
30	Missing data techniques for robust speech recognition - Cooke, Morris, et al. - 1997
29	Mode-finding for mixtures of Gaussian distributions - Carreira-Perpiñán - 2000
29	The intelligibility of interrupted speech - Miller, Licklider - 1950
25	Missing data theory, spectral subtraction and signal-to-noise estimation for robust ASR: an integratedstudy - Vizinho, Green, et al. - 1999
24	The full combination sub-bands approach to noise robust hmm/ann-based asr - Morris, Hagen, et al. - 1999
23	Auditory grouping - Darwin, Carlyon - 1995
22	Handling missing data in speech recognition - Cooke, Green, et al. - 1994
22	An Introduction to Psychology of Hearing. 4 th ed - Moore - 1997
19	Inference of missing spectrographic features for robust automatic speech recognition - Raj, Singh, et al. - 1998
18	Auditory scene analysis and HMM recognition of speech - Green, Cooke, et al. - 1995
17	An efficient algorithm to estimate the instantaneous snr of speech signals - Martin - 1993
17	Speaker verification in noisy environment with combined spectral subtraction and missing data theory - Drygajlo, El-Maliki - 1998
17	An Introduction to the Psychology of Hearing—4th Edition - Moore - 1997
16	Dynamic specification of coarticulated vowels - Strange, Jenkins, et al. - 1983
15	Some solutions to the missing feature problem in vision - Ahmed, Tresp - 1993
14	Spectral redundancy: Intelligibility of sentences heard through narrow spectral slits - Warren, Riener, et al. - 1995
13	Noise compensation algorithms for use with hidden Markov model based speech recognition - Varga, Moore, et al. - 1988
11	Modelling the perceptual segregation of double vowels with a network of neural oscillators - Brown, Wang - 1997
11	Recent advances in robust speech recognition - Furui - 1997
11	Multivariate statistical methods, 3rd ed - Morrison - 1990
10	Filtering time sequences of spectral parameters for speech recognition - Nadeu, Pachès-Leal, et al. - 1997
8	Noise compensation for speech recognition using probabilistic models - Holmes, Sedgwick - 1986
8	Union: A new approach for combining sub-band observations for noisy speech recognition - Ming, Smith
8	The NOISEX-92 study on the e€ect of additive noise on automatic speech recognition - Varga, Steeneken, et al. - 1992
7	Modelling the recognition of spectrally reduced speech - Barker, Cooke - 1997
7	Are neural oscillations the substrate of auditory grouping - Brown, Cooke, et al. - 1996
6	The role of evidence and counter-evidence in speech perception - Cunningham, Cooke - 1999
6	On measuring and predicting speech intelligibility - Steeneken - 1992
5	Flexible vowel recognition by the generation of dynamic coherence in oscillator neural networks: speaker-independent vowel recognition - Liu, Yamaguchi, et al. - 1994
4	Is the sine-wave speech cocktail party worth attending - Barker, Cooke - 1999