Application of Perceptual Filtering Models to Noisy Speech Signals Enhancement
Joint Authors
Zoghlami, Novlene
Lachiri, Zied
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-15
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Engineering Sciences and Information Technology
Information Technology and Computer Science
Abstract EN
This paper describes a new speech enhancement approach using perceptually based noise reduction.
The proposed approach is based on the application of two perceptual filtering models to noisy speech signals: the gammatone and the gammachirp filter banks with nonlinear resolution according to the equivalent rectangular bandwidth (ERB) scale.
The perceptual filtering gives a number of subbands that are individually spectral weighted and modified according to two different noise suppression rules.
The importance of an accurate noise estimate is related to the reduction of the musical noise artifacts in the processed speech that appears after classic subtractive process.
In this context, we use continuous noise estimation algorithms.
The performance of the proposed approach is evaluated on speech signals corrupted by real-world noises.
Using objective tests based on the perceptual quality PESQ score and the quality rating of signal distortion (SIG), noise distortion (BAK) and overall quality (OVRL), and subjective test based on the quality rating of automatic speech recognition (ASR), we demonstrate that our speech enhancement approach using filter banks modeling the human auditory system outperforms the conventional spectral modification algorithms to improve quality and intelligibility of the enhanced speech signal.
American Psychological Association (APA)
Zoghlami, Novlene& Lachiri, Zied. 2012. Application of Perceptual Filtering Models to Noisy Speech Signals Enhancement. Journal of Electrical and Computer Engineering،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-460069
Modern Language Association (MLA)
Zoghlami, Novlene& Lachiri, Zied. Application of Perceptual Filtering Models to Noisy Speech Signals Enhancement. Journal of Electrical and Computer Engineering No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-460069
American Medical Association (AMA)
Zoghlami, Novlene& Lachiri, Zied. Application of Perceptual Filtering Models to Noisy Speech Signals Enhancement. Journal of Electrical and Computer Engineering. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-460069
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-460069