A novel speech coding approach based on half-wave vector quantization
نویسندگان
چکیده
1 The author gratefully acknowledges the support of K. C. Wong Education Foundation, Hong Kong. ABSTRACT In this paper, a novel waveform coding approach based on half-wave vector quantization is presented. The input speech signal is divided into frames, each of which is classified as silence, unvoiced and voiced. The voiced category is subdivided into 64 sub-categories according to the length of each halfwave vector. The unvoiced category is subdivided into 16 sub-categories according to the average zero-crossing rate of each frame. For each type of vectors, a set of codebook is generated by using training data. Then each kind of sub-category is encoded, transmitted, and decoded with its own particular bit allocation configuration. This variable bit coding approach can operate at medium rate and provide acceptable-to-good speech quality.
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