NDLI: Adaptive two-band spectral subtraction with multi-window spectral estimation

Content Provider	IEEE Xplore Digital Library
Author	Chuang He Zweig, G.
Copyright Year	1999
Description	Author affiliation: T Div., Los Alamos Nat. Lab., NM, USA (Chuang He)
Abstract	An improved spectral subtraction algorithm for enhancing speech corrupted by additive wideband noise is described. The artifactual noise introduced by spectral subtraction that is perceived as musical noise is 7 dB less than that introduced by the classical spectral subtraction algorithm of Berouti et al. (1979). Speech is decomposed into voiced and unvoiced sections. Since voiced speech is primarily stochastic at high frequencies, the voiced speech is high-pass filtered to extract its stochastic component. The cut-off frequency is estimated adaptively. Multi-window spectral estimation is used to estimate the spectrum of stochastically voiced and unvoiced speech, thereby reducing the spectral variance. A low-pass filter is used to extract the deterministic component of voiced speech. Its spectrum is estimated with a single window. Spectral subtraction is performed with the classical algorithm using the estimated spectra. Informal listening tests confirm that the new algorithm creates significantly less musical noise than the classical algorithm.
Starting Page	793
Ending Page	796
File Size	450870
Page Count	4
File Format	PDF
ISBN	0780350413
ISSN	15206149
DOI	10.1109/ICASSP.1999.759790
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-03-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stochastic resonance Noise reduction Frequency estimation Cutoff frequency Noise level Background noise Stochastic processes Speech enhancement Laboratories Additive noise
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Adaptive two-band spectral subtraction with multi-window spectral estimation (1999)

An Effective Approach for Speech Enhancement by Multi-band MMSE Spectral Subtraction

An Improved A Priori MMSE Spectral Subtraction Method for Speech Enhancement

Perceptually weighted multi-band spectral subtraction speech enhancement technique

A Time-Recursive Adaptive Algorithm for Colored Noise Reduction in Speech Enhancement

An Improved Multi-band Speech Enhancement Method for Colored Noise Estimation and Reduction

An auditory perception based improved multi-band spectral subtraction algorithm for enhancement of speech degraded by non-stationary noises

Single channel speech enhancement utilizing iterative processing of multi-band spectral subtraction algorithm

Frequency depended spectral subtraction for speech enhancement.

Adaptive two-band spectral subtraction with multi-window spectral estimation

Similar Documents

Adaptive two-band spectral subtraction with multi-window spectral estimation (1999)

An Effective Approach for Speech Enhancement by Multi-band MMSE Spectral Subtraction

An Improved A Priori MMSE Spectral Subtraction Method for Speech Enhancement

Perceptually weighted multi-band spectral subtraction speech enhancement technique

A Time-Recursive Adaptive Algorithm for Colored Noise Reduction in Speech Enhancement

An Improved Multi-band Speech Enhancement Method for Colored Noise Estimation and Reduction

An auditory perception based improved multi-band spectral subtraction algorithm for enhancement of speech degraded by non-stationary noises

Single channel speech enhancement utilizing iterative processing of multi-band spectral subtraction algorithm

Frequency depended spectral subtraction for speech enhancement.

Adaptive two-band spectral subtraction with multi-window spectral estimation