Abstract
In this paper a real time prototype dedicated to single word recognition in ISDN lines is described. This system is speaker independent for a fixed hierarchical command set of totally 61 words. Context dependent continuous density Markov phoneme models are used. To improve recognition rates, a postprocessor based on information measures is proposed, which chooses the best word candidate in respect to transinformation.
In the first part the used speech recognition algorithms are presented. The second part deals with the ISDN speech database, the recording conditions and the achieved recognition rates. In the last part the hardware configuration of the speech server and the implementation of the described algorithms is explained in more detail. An outlook to future work concludes this contribution.
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© 1992 Springer-Verlag Berlin Heidelberg
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Zünkler, K. (1992). An ISDN speech server based on speaker independent continuous Hidden Markov Models. 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_11
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DOI: https://doi.org/10.1007/978-3-642-76626-8_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-76628-2
Online ISBN: 978-3-642-76626-8
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