Network-based connected digit recognition
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[1] F. Itakura,et al. Minimum prediction residual principle applied to speech recognition , 1975 .
[2] F. Jelinek,et al. Continuous speech recognition by statistical methods , 1976, Proceedings of the IEEE.
[3] R. Gray,et al. Speech coding based upon vector quantization , 1980, ICASSP.
[4] G. R. Doddington,et al. Computers: Speech recognition: Turning theory to practice: New ICs have brought the requisite computer power to speech technology; an evaluation of equipment shows where it stands today , 1981, IEEE Spectrum.
[5] L. Rabiner,et al. Isolated and Connected Word Recognition - Theory and Selected Applications , 1981, IEEE Transactions on Communications.
[6] Ronald A. Cole,et al. Feature-based speaker-independent recognition of isolated english letters , 1983, ICASSP.
[7] Pietro Laface,et al. Computer recognition of plosive sounds using contextual information , 1983 .
[8] L. R. Rabiner,et al. On the application of vector quantization and hidden Markov models to speaker-independent, isolated word recognition , 1983, The Bell System Technical Journal.
[9] M. Tomlinson,et al. The discriminative network: A mechanism for focusing recognition in whole-word pattern matching , 1983, ICASSP.
[10] Akira Ichikawa,et al. Speaker-independent connected digit recognition , 1984, ICASSP.
[11] Victor Zue,et al. Application of allophonic and lexical constraints in continuous digit recognition , 1984, ICASSP.
[12] Hermann Ney,et al. The use of a one-stage dynamic programming algorithm for connected word recognition , 1984 .
[13] J. A. Naylor,et al. Effect of vector quantization on a continuous speech recognition system , 1984, ICASSP.
[14] R. Gray,et al. Vector quantization , 1984, IEEE ASSP Magazine.
[15] R. G. Leonard,et al. A database for speaker-independent digit recognition , 1984, ICASSP.
[16] Lawrence R. Rabiner,et al. On the application of embedded digit training to speaker independent connected digit recognition , 1984 .
[17] L. R. Rabiner,et al. On the application of energy contours to the recognition of connected word sequences , 1984, AT&T Bell Laboratories Technical Journal.
[18] Comparative study of several distortion measures for speech recognition , 1985, Speech Commun..
[19] D. Burton,et al. Isolated-word speech recognition using multisection vector quantization codebooks , 1984, IEEE Trans. Acoust. Speech Signal Process..
[20] Dennis H. Klatt,et al. Comparative study of several distortion measures for speech recognition , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[21] Biing-Hwang Juang,et al. Mixture autoregressive hidden Markov models for speech signals , 1985, IEEE Trans. Acoust. Speech Signal Process..
[22] M. Bush,et al. Network-based connected digit recognition using vector quantization , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[23] Carlo Scagliola,et al. A connected speech recognition system using a diphone-based language model , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[24] J. Damestoy,et al. A frame language for the control of phonetic decoding in continuous speech recognition , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[25] Gary E. Kopec,et al. Network-based isolated digit recognition using vector quantization , 1985, IEEE Trans. Acoust. Speech Signal Process..
[26] Hervé Bourlard,et al. Speaker dependent connected speech recognition via phonetic Markov models , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[27] George R. Doddington,et al. Frame-specific statistical features for speaker independent speech recognition , 1986, IEEE Trans. Acoust. Speech Signal Process..
[28] Gary E. Kopec. Formant tracking using hidden Markov models and vector quantization , 1986, IEEE Trans. Acoust. Speech Signal Process..
[29] Stephen E. Levinson,et al. Continuously variable duration hidden Markov models for speech analysis , 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[30] Sadaoki Furui,et al. Speaker-independent isolated word recognition using dynamic features of speech spectrum , 1986, IEEE Trans. Acoust. Speech Signal Process..