Dissimilarity measures for hidden Markov models and their application in multilingual speech recognition

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

[2]  Dirk Van Compernolle Recognizing speech of goats, wolves, sheep and ... non-natives , 2001, Speech Commun..

[3]  Mark J. F. Gales,et al.  Generalised linear Gaussian models , 2001 .

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

[5]  E. L. Harder,et al.  The Institute of Electrical and Electronics Engineers, Inc. , 2019, 2019 IEEE International Conference on Software Architecture Companion (ICSA-C).

[6]  Tanja Schultz,et al.  Experiments on cross-language acoustic modeling , 2001, INTERSPEECH.

[7]  R. Näätänen,et al.  Psychobiology: Speech sounds learned by sleeping newborns , 2002, Nature.

[8]  William P. Ziemer,et al.  Modern Real Analysis , 1994 .

[9]  William J. Byrne,et al.  Towards language independent acoustic modeling , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[10]  Imre Kiss,et al.  Speaker- and language-independent speech recognition in mobile communication systems , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[11]  Joachim Köhler,et al.  Erstellung einer statistisch modellierten multilingualen Lautbibliothek für die Spracherkennung , 2000 .

[12]  A Lewis,et al.  THE SCIENCE OF SOUND , 1997 .

[13]  Mark J. F. Gales,et al.  The generation and use of regression class trees for MLLR adaptation , 1996 .

[14]  Douglas A. Reynolds,et al.  Speaker Verification Using Adapted Gaussian Mixture Models , 2000, Digit. Signal Process..

[15]  Andrej Zgank,et al.  Crosslingual speech recognition with multilingual acoustic models based on agglomerative and tree-based triphone clustering , 2001, INTERSPEECH.

[16]  Esko Turunen Survey of Theory and Applications of Łukasiewicz-Pavelka Fuzzy Logic , 2001 .

[17]  Olli Viikki,et al.  Cepstral domain segmental feature vector normalization for noise robust speech recognition , 1998, Speech Commun..

[18]  Lawrence R. Rabiner,et al.  A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.

[19]  Jean-Claude Junqua Robust Speech Recognition in Embedded Systems and PC Applications , 2000 .

[20]  David A. van Leeuwen,et al.  Multilingual large vocabulary speech recognition: the European SQALE project , 1997, Comput. Speech Lang..

[21]  V. Rich Personal communication , 1989, Nature.

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

[23]  Martine Adda-Decker Towards multilingual interoperability in automatic speech recognition , 2001, Speech Commun..

[24]  Andrew J. Viterbi,et al.  Error bounds for convolutional codes and an asymptotically optimum decoding algorithm , 1967, IEEE Trans. Inf. Theory.

[25]  Matti Vihola,et al.  Two dissimilarity measures for HMMS and their application in phoneme model clustering , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[26]  Bojan Imperl,et al.  The clustering algorithm for the definition of multilingual set of context dependent speech models , 1999, EUROSPEECH.

[27]  Markus Falkhausen,et al.  Calculation of distance measures between hidden Markov models , 1995, EUROSPEECH.

[28]  Daniel P. W. Ellis,et al.  Speech and Audio Signal Processing - Processing and Perception of Speech and Music, Second Edition , 1999 .

[29]  K. Laurila Robust speech recognition methods for voice dialing , 2000 .

[30]  Frederick Jelinek,et al.  Statistical methods for speech recognition , 1997 .

[31]  Pascale Fung,et al.  MAP-based cross-language adaptation augmented by linguistic knowledge: from English to Chinese , 1999, EUROSPEECH.

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

[33]  Lin-Shan Lee,et al.  Voice dictation of Mandarin Chinese , 1997, IEEE Signal Process. Mag..

[34]  Solomon Kullback,et al.  Information Theory and Statistics , 1970, The Mathematical Gazette.

[35]  Tanja Schultz,et al.  Polyphone decision tree specialization for language adaptation , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[36]  Philip C. Woodland,et al.  Speaker adaptation of HMMs using linear regression , 1994 .

[37]  D. Horga HANDBOOK OF THE INTERNATIONAL PHONETIC ASSOCIATION. A GUIDE TO THE USE OF THE INTERNATIONAL PHONETIC ALPHABET Cambridge: Cambridge University Press (1999), (204 stranice) , 1999 .

[38]  Reinhold Häb-Umbach Automatic generation of phonetic regression class trees for MLLR adaptation , 2001, IEEE Trans. Speech Audio Process..

[39]  Chao Huang,et al.  Large vocabulary Mandarin speech recognition with different approaches in modeling tones , 2000, INTERSPEECH.

[40]  Paul Dalsgaard,et al.  On the use of data-driven clustering technique for identification of poly- and mono-phonemes for four European languages , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[41]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[42]  B. Hofmann-Wellenhof,et al.  Introduction to spectral analysis , 1986 .

[43]  A. Waibel,et al.  Multilinguality in speech and spoken language systems , 2000, Proceedings of the IEEE.

[44]  Mark J. F. Gales,et al.  Tail distribution modelling using the richter and power exponential distributions , 1999, EUROSPEECH.

[45]  Joachim Köhler Language adaptation of multilingual phone models for vocabulary independent speech recognition tasks , 1998, ICASSP.

[46]  P. Woodland,et al.  Flexible speaker adaptation using maximum likelihood linear regression , 1995 .

[47]  Mark J. F. Gales,et al.  Semi-tied covariance matrices for hidden Markov models , 1999, IEEE Trans. Speech Audio Process..

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

[49]  Biing-Hwang Juang,et al.  Fundamentals of speech recognition , 1993, Prentice Hall signal processing series.

[50]  L. R. Rabiner,et al.  A probabilistic distance measure for hidden Markov models , 1985, AT&T Technical Journal.

[51]  Ronald A. Cole,et al.  The OGI multi-language telephone speech corpus , 1992, ICSLP.

[52]  Heekuck Oh,et al.  Neural Networks for Pattern Recognition , 1993, Adv. Comput..

[53]  John H. L. Hansen,et al.  Discrete-Time Processing of Speech Signals , 1993 .

[54]  Ulla Uebler,et al.  Multilingual speech recognition in seven languages , 2001, Speech Commun..

[55]  Sheldon M. Ross,et al.  Stochastic Processes , 2018, Gauge Integral Structures for Stochastic Calculus and Quantum Electrodynamics.

[56]  E. Vajda Handbook of the International Phonetic Association: A Guide to the Use of the International Phonetic Alphabet , 2000 .

[57]  Imre Kiss On speech recognition in mobile communications , 2001 .

[58]  Y.K. Muthusamy,et al.  Reviewing automatic language identification , 1994, IEEE Signal Processing Magazine.

[59]  Alex Waibel,et al.  The GlobalPhone Project: Multilingual LVCSR with JANUS-3 , 1997 .

[60]  Sadaoki Furui Flexible speech recognition , 1995, EUROSPEECH.

[61]  Joachim Köhler Multilingual phone models for vocabulary-independent speech recognition tasks , 2001, Speech Commun..

[62]  B. Ripley,et al.  Pattern Recognition , 1968, Nature.

[63]  L. Baum,et al.  An inequality and associated maximization technique in statistical estimation of probabilistic functions of a Markov process , 1972 .