Direct Recovery of Clean Speech Using a Hybrid Noise Suppression Algorithm for Robust Speech Recognition System
Joint Authors
Tao, Rui
Dai, Peng
Soon, Ing Yann
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-26
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
A new log-power domain feature enhancement algorithm named NLPS is developed.
It consists of two parts, direct solution of nonlinear system model and log-power subtraction.
In contrast to other methods, the proposed algorithm does not need prior speech/noise statistical model.
Instead, it works by direct solution of the nonlinear function derived from the speech recognition system.
Separate steps are utilized to refine the accuracy of estimated cepstrum by log-power subtraction, which is the second part of the proposed algorithm.
The proposed algorithm manages to solve the speech probability distribution function (PDF) discontinuity problem caused by traditional spectral subtraction series algorithms.
The effectiveness of the proposed filter is extensively compared using the standard database, AURORA2.
The results show that significant improvement can be achieved by incorporating the proposed algorithm.
The proposed algorithm reaches a recognition rate of over 86% for noisy speech (average from SNR 0 dB to 20 dB), which means a 48% error reduction over the baseline Mel-frequency Cepstral Coefficient (MFCC) system.
American Psychological Association (APA)
Dai, Peng& Soon, Ing Yann& Tao, Rui. 2012. Direct Recovery of Clean Speech Using a Hybrid Noise Suppression Algorithm for Robust Speech Recognition System. ISRN Signal Processing،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-462039
Modern Language Association (MLA)
Dai, Peng…[et al.]. Direct Recovery of Clean Speech Using a Hybrid Noise Suppression Algorithm for Robust Speech Recognition System. ISRN Signal Processing No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-462039
American Medical Association (AMA)
Dai, Peng& Soon, Ing Yann& Tao, Rui. Direct Recovery of Clean Speech Using a Hybrid Noise Suppression Algorithm for Robust Speech Recognition System. ISRN Signal Processing. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-462039
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-462039