Abstract
In this paper is presented or work concerning continuous speech recognition in a telephone numbers voice-dialing task realized by statistical modeling. The speech is parametized using the computational inexpensive linear predictive coding (LPC) to determine the LPC, the cepstral LPC and the reflection coefficients. In our tests, the recognizer based on Hidden Markov Models (HMMs) performs better for the cepstral LPC coefficients then for the reflection coefficients or the LPC coefficients.
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