Title
An improved VQ based algorithm for recognizing speaker-independent isolated words
Abstract
In this paper, an improved codebook generation algorithm called SLVQ (Speaker Level Vector quantization) is proposed, which can improve the recognition accuracy of speaker independent isolated words. Linde-Buzo-Gary (LBG) algorithm is the most commonly used codebook design method. The idea behind LBG is to find an optimal codebook that minimizes the distortion between the training words and the codebook. But this does not guarantee that the testing words also have minimum distortion as training words. To address the problem of producing poor codebook for testing words in speaker independent speech recognition, the proposed method makes use of the diversity of different speakers by randomly selecting some speakers and their pronounced words in the codebook design procedure to optimize codebooks. An evaluation experiment has been conducted to compare the speech recognition performance of the codebooks produced by the LBG, the LVQ (learning vector quantization), and the SLVQ. It is clearly shown that the SLVQ method performs better than the other two methods.
Year
DOI
Venue
2012
10.1109/ICMLC.2012.6359026
ICMLC
Keywords
Field
DocType
codebook generation algorithm,learning vector quantization,learning (artificial intelligence),codebook generation,slvq,speaker independent speech recognition,vector quantisation,speaker-independent isolated word recognition,speaker recognition,training words,codebook design method,linde-buzo-gary algorithm,vector quantization,lbg algorithm,vq based algorithm,speech recognition,speaker independent,speaker level vector quantization,testing words,convergence,learning artificial intelligence
Linde–Buzo–Gray algorithm,Computer science,Vector quantization,Speaker recognition,Artificial intelligence,Speaker diarisation,Distortion,Pattern recognition,Learning vector quantization,Algorithm,Speech recognition,Speech recognition performance,Machine learning,Codebook
Conference
Volume
ISSN
ISBN
2
2160-133X
978-1-4673-1484-8
Citations 
PageRank 
References 
2
0.40
8
Authors
2
Name
Order
Citations
PageRank
Ding-Ding Ma120.40
Xiaoqin Zeng240732.97