Large Vocabulary Continuous Speech Recognition : a ReviewSteve

[1]  Mark J. F. Gales,et al.  Robust speech recognition in additive and convolutional noise using parallel model combination , 1995, Comput. Speech Lang..

[2]  Fernando Pereira,et al.  The AT&t 60,000 word speech-to-text system , 1995, EUROSPEECH.

[3]  Vassilios Digalakis,et al.  Speaker adaptation using constrained estimation of Gaussian mixtures , 1995, IEEE Trans. Speech Audio Process..

[4]  Frédéric Bimbot,et al.  Language modeling by variable length sequences: theoretical formulation and evaluation of multigrams , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[5]  Michael Picheny,et al.  Performance of the IBM large vocabulary continuous speech recognition system on the ARPA Wall Street Journal task , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[6]  D. O'Shaughnessy.  Timing patterns in fluent and disfluent spontaneous speech , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[7]  Hermann Ney,et al.  Large vocabulary continuous speech recognition using word graphs , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[8]  Michael Picheny,et al.  Experiments using data augmentation for speaker adaptation , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[9]  Lalit R. Bahl,et al.  A tree search strategy for large-vocabulary continuous speech recognition , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[10]  Mitch Weintraub,et al.  Robust speech recognition in noise using adaptation and mapping techniques , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[11]  P.C. Woodland,et al.  The 1994 HTK large vocabulary speech recognition system , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[12]  Chin-Hui Lee,et al.  Robust speech recognition based on stochastic matching , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[13]  Mari Ostendorf,et al.  Lattice-based search strategies for large vocabulary speech recognition , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[14]  Tanja Schultz,et al.  Acoustic and language modeling of human and nonhuman noises for human-to-human spontaneous speech recognition , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[15]  Evandro B. Gouvêa,et al.  Multivariate-Gaussian-based cepstral normalization for robust speech recognition , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[16]  Philip C. Woodland,et al.  Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models , 1995, Comput. Speech Lang..

[17]  Stephen Cox,et al.  Predictive speaker adaptation in speech recognition , 1995, Comput. Speech Lang..

[18]  Sharon L. Oviatt,et al.  Predicting spoken disfluencies during human-computer interaction , 1995, Comput. Speech Lang..

[19]  J. L. Gauvain.  Developments in Large Vocabulary Dictation : The LIMSI Nov94 NAB System , 1995 .

[20]  Philip C. Woodland,et al.  Spontaneous speech recognition for the credit card corpus using the HTK toolkit , 1994, IEEE Trans. Speech Audio Process..

[21]  Andrej Ljolje.  The importance of cepstral parameter correlations in speech recognition , 1994, Comput. Speech Lang..

[22]  Mari Ostendorf,et al.  Maximum likelihood clustering of Gaussians for speech recognition , 1994, IEEE Trans. Speech Audio Process..

[23]  John S. D. Mason,et al.  On the limitations of cepstral features in noise , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[24]  Hermann Ney,et al.  Improvements in beam search for 10000-word continuous-speech recognition , 1994, IEEE Trans. Speech Audio Process..

[25]  Chin-Hui Lee,et al.  Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains , 1994, IEEE Trans. Speech Audio Process..

[26]  Lori Lamel,et al.  The LIMSI continuous speech dictation system , 1994 .

[27]  S. J. Young,et al.  Tree-based state tying for high accuracy acoustic modelling , 1994 .

[28]  Mari Ostendorf,et al.  Language Modeling with Sentence-Level Mixtures , 1994, HLT.

[29]  Jonathan G. Fiscus,et al.  1993 Benchmark Tests for the ARPA Spoken Language Program , 1994, HLT.

[30]  Steve J. Young,et al.  A One Pass Decoder Design For Large Vocabulary Recognition , 1994, HLT.

[31]  Richard M. Schwartz,et al.  Adaptation to new microphones using tied-mixture normalization , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[32]  Vassilios Digalakis,et al.  Techniques to Achieve an Accurate Real-Time Large-Vocabulary Speech Recognition System , 1994, HLT.

[33]  James F. Allen,et al.  Tagging Speech Repairs , 1994, HLT.

[34]  Hermann Ney,et al.  On structuring probabilistic dependences in stochastic language modelling , 1994, Comput. Speech Lang..

[35]  Eugene Charniak,et al.  Statistical language learning , 1997 .

[36]  Mei-Yuh Hwang,et al.  A comparative study of discrete, semicontinuous, and continuous hidden Markov models , 1993, Comput. Speech Lang..

[37]  Mei-Yuh Hwang,et al.  Shared-distribution hidden Markov models for speech recognition , 1993, IEEE Trans. Speech Audio Process..

[38]  Hermann Ney,et al.  Improved clustering techniques for class-based statistical language modelling , 1993, EUROSPEECH.

[39]  Enrico Bocchieri.  A study of the beam-search algorithm for large vocabulary continuous speech recognition and methods for improved efficiency , 1993, EUROSPEECH.

[40]  Steve J. Young,et al.  The HTK tied-state continuous speech recogniser , 1993, EUROSPEECH.

[41]  Mark J. F. Gales,et al.  Cepstral parameter compensation for HMM recognition in noise , 1993, Speech Commun..

[42]  Sheryl R. Young,et al.  Learning New Words from Spontaneous Speech: A Project Summary , 1993 .

[43]  Gilles Adda,et al.  Automatic word classification using simulated annealing , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[44]  Ronald Rosenfeld,et al.  Trigger-based language models: a maximum entropy approach , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[45]  Mitch Weintraub,et al.  Large-vocabulary dictation using SRI's DECIPHER speech recognition system: progressive search techniques , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[46]  John D. Lafferty,et al.  Towards History-based Grammars: Using Richer Models for Probabilistic Parsing , 1993, ACL.

[47]  Robert L. Mercer,et al.  Class-Based n-gram Models of Natural Language , 1992, CL.

[48]  Steve J. Young,et al.  Hidden Markov model state-based cepstral noise compensation , 1992, ICSLP.

[49]  Steve J. Young,et al.  A trellis-based language model for speech recognition , 1992, ICSLP.

[50]  Lalit R. Bahl,et al.  A fast admissible method for identifying a short list of candidate words , 1992 .

[51]  D. O'Shaughnessy,et al.  Recognition of hesitations in spontaneous speech , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[52]  Steve Young,et al.  The general use of tying in phoneme-based HMM speech recognisers , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[53]  Fileno A. Alleva.  Search Organization for Large Vocabulary Continuous Speech Recognition , 1992 .

[54]  Frederick Jelinek,et al.  Up from trigrams! - the struggle for improved language models , 1991, EUROSPEECH.

[55]  Steve Austin,et al.  The forward-backward search algorithm , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

[56]  Brian Hanson,et al.  Regression features for recognition of speech in quiet and in noise , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

[57]  Wayne H. Ward.  Understanding spontaneous speech: the Phoenix system , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

[58]  D. O'Shaughnessy,et al.  A*-admissible heuristics for rapid lexical access , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

[59]  Biing-Hwang Juang,et al.  A study on speaker adaptation of the parameters of continuous density hidden Markov models , 1991, IEEE Trans. Signal Process..

[60]  Michael Picheny,et al.  Context Dependent Modeling of Phones in Continuous Speech Using Decision Trees , 1991, HLT.

[61]  Douglas B. Paul,et al.  The Lincoln tied-mixture HMM continuous speech recognizer , 1990, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

[62]  Douglas B. Paul,et al.  Algorithms for an Optimal A* Search and Linearizing the Search in the Stack Decoder* , 1991, HLT.

[63]  Jerome R. Bellegarda,et al.  Tied mixture continuous parameter modeling for speech recognition , 1990, IEEE Trans. Acoust. Speech Signal Process..

[64]  John Holdsworth,et al.  A comparison of preprocessors for the cambridge recurrent error propagation network speech recognition system , 1990, ICSLP.

[65]  Robert Roth,et al.  A Rapid Match Algorithm for Continuous Speech Recognition , 1990, HLT.

[66]  Renato De Mori,et al.  A Cache-Based Natural Language Model for Speech Recognition , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[67]  Xuedong Huang,et al.  Semi-continuous hidden Markov models for speech signals , 1990 .

[68]  Roger K. Moore,et al.  Hidden Markov model decomposition of speech and noise , 1990, International Conference on Acoustics, Speech, and Signal Processing.

[69]  H Hermansky,et al.  Perceptual linear predictive (PLP) analysis of speech. , 1990, The Journal of the Acoustical Society of America.

[70]  Volker Steinbiss,et al.  Sentence-hypotheses generation in a continuous-speech recognition system , 1989, EUROSPEECH.

[71]  Steve Young,et al.  Token passing: a simple conceptual model for connected speech recognition systems , 1989 .

[72]  Lalit R. Bahl,et al.  A tree-based statistical language model for natural language speech recognition , 1989, IEEE Trans. Acoust. Speech Signal Process..

[73]  Biing-Hwang Juang,et al.  The short-time modified coherence representation and noisy speech recognition , 1989, IEEE Trans. Acoust. Speech Signal Process..

[74]  S. Furui,et al.  Unsupervised speaker adaptation method based on hierarchical spectral clustering , 1989, International Conference on Acoustics, Speech, and Signal Processing,.

[75]  Stephen E. Levinson,et al.  Large vocabulary speech recognition using a hidden Markov model for acoustic/phonetic classification , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[76]  Lalit R. Bahl,et al.  Speech recognition with continuous-parameter hidden Markov models , 1987, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[77]  Slava M. Katz,et al.  Estimation of probabilities from sparse data for the language model component of a speech recognizer , 1987, IEEE Trans. Acoust. Speech Signal Process..

[78]  G. Chollet,et al.  Adaptation of automatic speech recognizers to new speakers using canonical correlation analysis techniques , 1986 .

[79]  Kiyohiro Shikano,et al.  Speaker adaptation through vector quantization , 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[80]  Sadaoki Furui,et al.  Speaker-independent isolated word recognition using dynamic features of speech spectrum , 1986, IEEE Trans. Acoust. Speech Signal Process..

[81]  B.-H. Juang,et al.  Maximum-likelihood estimation for mixture multivariate stochastic observations of Markov chains , 1985, AT&T Technical Journal.

[82]  Louis A. Liporace,et al.  Maximum likelihood estimation for multivariate observations of Markov sources , 1982, IEEE Trans. Inf. Theory.

[83]  Johannes Jaschul,et al.  Speaker adaptation by a linear transformation with optimised parameters , 1982, ICASSP.

[84]  Stan Davis,et al.  Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken Se , 1980 .

[85]  M.G. Bellanger,et al.  Digital processing of speech signals , 1980, Proceedings of the IEEE.

[86]  S. Boll,et al.  Suppression of acoustic noise in speech using spectral subtraction , 1979 .

[87]  F. Jelinek,et al.  Continuous speech recognition by statistical methods , 1976, Proceedings of the IEEE.

[88]  J. Baker,et al.  The DRAGON system--An overview , 1975 .

[89]  S. Furui,et al.  Cepstral analysis technique for automatic speaker verification , 1981 .

[90]  F. Jelinek.  Fast sequential decoding algorithm using a stack , 1969 .