Analysis and Optimization of Telephone Speech Command Recognition System Performance in Noisy Environment
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Date
2004-04
Authors
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Abstract
This paper deals with the analysis and optimization of a speech command recognition system (SCRS) trained on Czech telephone database Speechdat(E) for use in a selected noisy environment. The SCRS is based on hidden Markov models of context dependent phones (triphones) and mel-frequency cepstral coefficients analysis of speech (MFCC). The main aim is to analyze and to search for the optimal settings of SCRS with respect to additive noise robustness without use of additional techniques for additive noise reduction. The analysis is pointed to the appropriate setting of MFCC computation, the silence model adjustment and grammar selection possibilities. It is shown, that the correct performance of SCRS strictly depends on an appropriate adjustment of the silence model. The ability of the silence model adaptation is confirmed. When SNR is higher than 15 dB the suitable performance of SCRS can be guarantied without any modification of the triphones speech models by: 1. the optimal setting of MFCC computation, 2. the proper silence model adaptation. The assumption of a speech command recognition system use in an environment where SNR is higher than 15 dB is fulfilled in many applications.
Description
Citation
Radioengineering. 2004, vol. 13, č. 1, s. 1-7. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2004/04_01_01_07.pdf
http://www.radioeng.cz/fulltexts/2004/04_01_01_07.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en