Fast vector quantization based on subcodebook selection and its application to speech recognition
نویسنده
چکیده
Vector quantization (VQ) is a efficient technique for data compression with a minimum distortion. VQ is widely used in applications as speech and image coding, speech recognition, and image retrieval. This paper presents a novel fast nearestneighbor algorithm and shows its application to speech recognition. The proposed algorithm is based on a fast preselection that reduces the search to a limited number of code vectors. The presented results show that the computational cost of the VQ stage can be significantly reduced without affecting the performance of the speech recognizer.
منابع مشابه
Nearest-neighbor search algorithms based on subcodebook selection and its application to speech recognition
Vector quantization (VQ) is a efficient technique for data compression with a minimum distortion. VQ is widely used in applications as speech and image coding, speech recognition, and image retrieval. This paper presents a novel fast nearestneighbor algorithm and shows its application to speech recognition. The proposed algorithm is based on a fast preselection that reduces the search to a limi...
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