Summary
Signal representation is a very important issue of the design of speech recognizers. An appropriate representation of the speech signal improves the recognizer performance. Recently, the Discriminative Feature Extraction (DFE) method has been applied for estimating transformations of the representation space for speech recognizers. In this work, a variant of the DFE method is applied in order to improve the representation space for Continuous Speech Recognition.
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References
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© 1999 Springer-Verlag Berlin Heidelberg
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de la Torre, Á., Peinado, A.M., Rubio, A.J., Segura, J.C. (1999). Discriminative Improvement of the Representation Space for Continuous Speech Recognition. In: Ponting, K. (eds) Computational Models of Speech Pattern Processing. NATO ASI Series, vol 169. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60087-6_8
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DOI: https://doi.org/10.1007/978-3-642-60087-6_8
Publisher Name: Springer, Berlin, Heidelberg
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