Abstract
A generalised generative model for automatic dictation and spoken translation machine is proposed. The model is based on both the generative grammar hierarchy for speech model signals composition and the comparison of them with a signal to be recognised. The details of problem solving at all levels of the speech processing hierarchy are discussed.
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References
T.K. Vintsiuk. Speech Word Recognition by Dynamic Programming. — Kibernetika, 1968, No 1, pp 81–88.
T.K. Vintsiuk. Element-Wise Recognition of Continuous Speech Composed of Words from Specified Dictionary. — Kibernetika, 1971, No 2, pp 133–143.
T.K. Vintsiuk. Phoneme Recognition of Connected Speech. — Avtomatyka, 1972, No. 6, pp 40-49; 1973, No 1, pp 63–72.
T.K. Vintsiuk. Speech Recognition and Understanding. — Kibernetika, 1982, No. 5, pp. 101–111.
T.K. Vintsiuk. Analysis, Recognition and Understanding of Speech Signals. — Kiev: Naukova Dumka, 1987, 264 p (in Russian).
T.K. Vintsiuk. HCDP-Technique for Automatic Analysis, Recognition and Understanding of Speech Signals. — Proc. First Intern. Conf. on Information Technology for Image Analysis and Pattern Recognition, L’viv, 1990, Vol 1, pp 108–112.
Taras Vintsiuk. Intellectual Speech Technologies and Systems in Ukraine. — In: Signal/Image Processing and Pattern Recognition, Kyjiv, 1996, pp 117–120 (in Ukrainian).
T.K. Vintsiuk. Two Approaches to Create a Dictation/Translation Machine. - Proc. of the 2nd Intern. Workshop “Speech and Computer”, Cluj-Napoca, 1997, pp 1–6.
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© 1999 Springer-Verlag London Limited
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Vintsiuk, T.K. (1999). Generative Models for Automatic Speech Recognition, Understanding and Synthesis. In: Chollet, G., Di Benedetto, M.G., Esposito, A., Marinaro, M. (eds) Speech Processing, Recognition and Artificial Neural Networks. Springer, London. https://doi.org/10.1007/978-1-4471-0845-0_11
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DOI: https://doi.org/10.1007/978-1-4471-0845-0_11
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