EUROSPEECH 2003 - INTERSPEECH 2003
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 nearest-neighbor 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.
Bibliographic reference. Fonollosa, Jose A.R. (2003): "Nearest-neighbor search algorithms based on subcodebook selection and its application to speech recognition", In EUROSPEECH-2003, 2493-2496.