DocumentCode
3423745
Title
Multi-rate hmm quantization for speech recognition
Author
Vasilache, Marcel
Author_Institution
Nokia, Tampere
fYear
2008
fDate
March 31 2008-April 4 2008
Firstpage
4341
Lastpage
4344
Abstract
This paper refines the idea of scalar quantization for hidden Markov model (HMM) parameters which was introduced in an earlier contribution. With the proposed multi-rate approach it is shown that an increased model compression can be achieved with a significant computational complexity reduction while also closely preserving the recognition performance of the original models.
Keywords
computational complexity; data compression; hidden Markov models; quantisation (signal); speech recognition; computational complexity reduction; hidden Markov model; model compression; multi rate HMM scalar quantization; speech recognition; Acoustic devices; Computational complexity; Engines; Feature extraction; Hidden Markov models; Loudspeakers; Mobile computing; Portable computers; Quantization; Speech recognition; Hidden Markov models; Quantization; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
1520-6149
Print_ISBN
978-1-4244-1483-3
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2008.4518616
Filename
4518616
Link To Document