ANNEALING VECTOR QUANIZATION IN SPEECH RECOGNITION

Wang Ke; Wang Cuimei

Volume 22 Issue 1

Jan. 2000

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Wang Ke, Wang Cuimei. ANNEALING VECTOR QUANIZATION IN SPEECH RECOGNITION[J]. Journal of Electronics & Information Technology, 2000, 22(1): 19-22.

Citation:

Wang Ke, Wang Cuimei. ANNEALING VECTOR QUANIZATION IN SPEECH RECOGNITION[J]. Journal of Electronics & Information Technology, 2000, 22(1): 19-22.

Wang Ke, Wang Cuimei. ANNEALING VECTOR QUANIZATION IN SPEECH RECOGNITION[J]. Journal of Electronics & Information Technology, 2000, 22(1): 19-22.

Citation:

Wang Ke, Wang Cuimei. ANNEALING VECTOR QUANIZATION IN SPEECH RECOGNITION[J]. Journal of Electronics & Information Technology, 2000, 22(1): 19-22.

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ANNEALING VECTOR QUANIZATION IN SPEECH RECOGNITION

Wang Ke^{①;王翠梅},
Wang Cuimei

Received Date: 1998-06-11
Rev Recd Date: 1999-02-28
Publish Date: 2000-01-19

Abstract

Abstract

Vector quantization plays an important role in speech recognition.Traditional K-means algorithm owns the advantage of fast convergence, but it is difficult to get the global optimal result.Some modified algorithms have been proposed to overcome this drawback,but they also increase the computation greatly.In this papsr,a new algorithm which is based on annealing algorithm is proposed to compromise the contradiction.In the rest of the paper,the details of the algorithm and related experiments are given.The results demonstrate the algorithm is more effective than other methods.

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References(1)

References

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