Abstract
A continuous speech recognition system (called RAMSES) has been built based on the demisyllable as phonetic unit and tools from connected speech recognition. Speech is parameterized by band-pass lifted LPC-cepstra and demisyllables are represented by hidden Markov models (HMM). In this paper, the application of this system to recognize integer numbers from zero to one thousand is described. The paper contains a general overview of the system, an outline of the grammar inference, a description of the HMM training procedure and an assessment on the recognition performance in a speaker independent experiment.
This work was supported by the PRONTIC grant number 105/88
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References
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© 1992 Springer-Verlag Berlin Heidelberg
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Mariño, J.B., Nadeu, C., Moreno, A., Lleida, E., Monte, E., Bonafonte, A. (1992). RAMSES: A Spanish Demisyllable Based Continuous Speech Recognition System. In: Laface, P., De Mori, R. (eds) Speech Recognition and Understanding. NATO ASI Series, vol 75. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76626-8_12
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DOI: https://doi.org/10.1007/978-3-642-76626-8_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-76628-2
Online ISBN: 978-3-642-76626-8
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