NDLI: Fast output probability computation using scalar quantization and independent dimension multi-mixture

Content Provider	IEEE Xplore Digital Library
Author	Yamada, M. Yamamoto, H. Kosaka, T. Komori, Y. Ohora, Y.
Copyright Year	1996
Description	Author affiliation: Media Technol. Lab., Canon Inc., Kanagawa, Japan (Yamada, M.)
Abstract	In this paper, we propose a high speed output probability computation algorithm for multi-mixture continuous HMM. In the algorithm, we adopted the following three techniques: 1) independent dimension multi-mixture computation (IDMM), 2) scalar quantization (SQ) and 3) output probability recalculation. At the first step of the algorithm, the state probability is roughly estimated using the IDMM and SQ. The IDMM is an approximate computation of the multi-mixture probability density function, which realizes the fast probability estimation along with the SQ. The result of the rough estimation is used to select states with the high output probability. Then, the rigid probability calculation is carried out on the selected states. Our experiment on speaker independent continuous speech recognition showed that the proposed algorithm saves 81% of time for the output probability computation and 71% in the total speech recognition process, without degradation of the recognition rate.
Starting Page	893
Ending Page	896
File Size	368443
Page Count	4
File Format	PDF
ISBN	0780331923
ISSN	15206149
DOI	10.1109/ICASSP.1996.543265
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-05-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quantization Hidden Markov models State estimation Speech recognition Laboratories Probability density function Degradation Natural languages Velocity measurement Nearest neighbor searches
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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