Robust automatic speech recognition with missing and unreliable acoustic data
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Phil D. Green | Martin Cooke | Ljubomir Josifovski | Ascension Vizinho | M. Cooke | P. Green | Ljubomir Josifovski | A. Vizinho
[1] G. A. Miller,et al. The Intelligibility of Interrupted Speech , 1948 .
[2] Harvey b. Fletcher,et al. Speech and hearing in communication , 1953 .
[3] D. F. Morrison,et al. Multivariate Statistical Methods , 1968 .
[4] Dennis H. Klatt,et al. A digital filter bank for spectral matching , 1976, ICASSP.
[5] E. Owens. Introduction to the Psychology of Hearing , 1977 .
[6] J. Jenkins,et al. Dynamic specification of coarticulated vowels. , 1983, The Journal of the Acoustical Society of America.
[7] R. G. Leonard,et al. A database for speaker-independent digit recognition , 1984, ICASSP.
[8] N. Sedgwick,et al. Noise compensation for speech recognition using probabilistic models , 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[9] Roger K. Moore,et al. Noise compensation algorithms for use with hidden Markov model based speech recognition , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.
[10] Roger K. Moore,et al. Hidden Markov model decomposition of speech and noise , 1990, International Conference on Acoustics, Speech, and Signal Processing.
[11] H.J.M. Steeneken,et al. On measuring and predicting speech intelligibility , 1992 .
[12] Volker Tresp,et al. Some Solutions to the Missing Feature Problem in Vision , 1992, NIPS.
[13] S. Hanson,et al. Some Solutions to the Missing Feature Problem in Vision , 1993 .
[14] Michael I. Jordan,et al. Supervised learning from incomplete data via an EM approach , 1993, NIPS.
[15] Martin Cooke,et al. Modelling auditory processing and organisation , 1993, Distinguished dissertations in computer science.
[16] Mark J. F. Gales,et al. HMM recognition in noise using parallel model combination , 1993, EUROSPEECH.
[17] Rainer Martin,et al. An efficient algorithm to estimate the instantaneous SNR of speech signals , 1993, EUROSPEECH.
[18] Phil D. Green,et al. Handling missing data in speech recognition , 1994, ICSLP.
[19] Guy J. Brown,et al. Computational auditory scene analysis , 1994, Comput. Speech Lang..
[20] Pierre Comon,et al. Independent component analysis, A new concept? , 1994, Signal Process..
[21] Jont B. Allen,et al. How do humans process and recognize speech? , 1993, IEEE Trans. Speech Audio Process..
[22] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
[23] Hans-Günter Hirsch,et al. Noise estimation techniques for robust speech recognition , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.
[24] C. J. Darwin,et al. Chapter 11 – Auditory Grouping , 1995 .
[25] R. M. Warren,et al. Spectral redundancy: Intelligibility of sentences heard through narrow spectral slits , 1995, Perception & psychophysics.
[26] Yifan Gong,et al. Speech recognition in noisy environments: A survey , 1995, Speech Commun..
[27] Richard Lippmann,et al. Accurate consonant perception without mid-frequency speech energy , 1996, IEEE Trans. Speech Audio Process..
[28] Daniel Patrick Whittlesey Ellis,et al. Prediction-driven computational auditory scene analysis , 1996 .
[29] Hervé Bourlard,et al. A mew ASR approach based on independent processing and recombination of partial frequency bands , 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.
[30] Misha Pavel,et al. Towards ASR on partially corrupted speech , 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.
[31] Guy J. Brown,et al. ARE NEURAL OSCILLATIONS THE SUBSTRATE OF AUDITORY GROUPING , 1996 .
[32] Richard Lippmann,et al. Speech recognition by machines and humans , 1997, Speech Commun..
[33] Richard Lippmann,et al. Using missing feature theory to actively select features for robust speech recognition with interruptions, filtering and noise KN-37 , 1997, EUROSPEECH.
[34] Guy J. Brown,et al. Modelling the perceptual segregation of double vowels with a network of neural oscillators , 1997, Neural Networks.
[35] Phil D. Green,et al. Missing data techniques for robust speech recognition , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[36] Jon Barker,et al. Modelling the recognition of spectrally reduced speech , 1997, EUROSPEECH.
[37] Biing-Hwang Juang,et al. Filtering the time sequences of spectral parameters for speech recognition, , 1997, Speech Commun..
[38] Simon King,et al. Proc. Eurospeech'97 , 1997 .
[39] Børge Lindberg,et al. Noise robust recognition using feature selective modeling , 1997, EUROSPEECH.
[40] Richard M. Stern,et al. Inference of missing spectrographic features for robust speech recognition , 1998, ICSLP.
[41] Andrzej Drygajlo,et al. Speaker verification in noisy environments with combined spectral subtraction and missing feature theory , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[42] Hynek Hermansky,et al. Should recognizers have ears? , 1998, Speech Commun..
[43] Phil D. Green,et al. Some solution to the missing feature problem in data classification, with application to noise robust ASR , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[44] Jon Barker,et al. Is the sine-wave speech cocktail party worth attending? , 1999, Speech Commun..
[45] Hervé Bourlard,et al. The full combination sub-bands approach to noise robust HMM/ANN based ASR , 1999, EUROSPEECH.
[46] Phil D. Green,et al. Missing data theory, spectral subtraction and signal-to-noise estimation for robust ASR: an integrated study , 1999, EUROSPEECH.
[47] Hideki Kawahara,et al. Missing-data model of vowel identification. , 1999, The Journal of the Acoustical Society of America.
[48] Bert Cranen,et al. MISSING FEATURE THEORY IN ASR: MAKE SURE YOU MISS THE RIGHT TYPE OF FEATURES , 1999 .
[49] Stuart Cunningham,et al. THE ROLE OF EVIDENCE AND COUNTER-EVIDENCEIN SPEECH PERCEPTION , 1999 .
[50] Miguel Á. Carreira-Perpiñán,et al. Mode-Finding for Mixtures of Gaussian Distributions , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[51] E. Oja,et al. Independent Component Analysis , 2013 .
[52] Francis Jack Smith,et al. Union: A new approach for combining sub-band observations for noisy speech recognition , 2001, Speech Commun..
[53] A. Bregman. Auditory Scene Analysis , 2001 .
[54] A. B.,et al. SPEECH COMMUNICATION , 2001 .