Voice dialing technology is widely used in mobile phones, but most of them are based on speaker-dependent speech recognition, and can't support dialing by saying the digits directly. Digit dialing requires speaker-independent speech recognition technology. This paper introduces a 16-bits fixed-point DSP based mandarin digit recognition system based on discrete HMM, and the discriminative training for the parameters. The parameters of the DHMM are reduced and only the truncated output probability matrices are used. And a minimum classification error rate method is used to adjust the matrices discriminatively to further improve the recognition accuracy. In the experiment, a 14.4% error rate reduction is achieved.
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