NDLI: Single channel adaptive noise cancelation for enhancing noisy speech

Content Provider	IEEE Xplore Digital Library
Author	Hae Dong Gahng Keun Sung Bae
Copyright Year	1994
Description	Author affiliation: Dept. of Electron. Commun., Changshin Junior Coll., Masan, South Korea (Hae Dong Gahng)
Abstract	The paper presents a new single channel adaptive noise canceling technique for removing the harmful effects of additive noise on the speech signal. The conventional method makes a reference signal for adaptive filtering using the delay information, i.e., pitch period, estimated on a frame basis from the input speech. The proposed method, however, gets a properly delayed input speech on a sample basis as a reference signal using the recursion formula of the autocorrelation function or average magnitude difference function. By doing that, the problems of the conventional method such as discontinuity between frames, unsuitable processing of the unvoiced sound and the transition region from voiced to unvoiced sound or vice versa can be solved. Experimental results with normalized least mean square and fast least squares adaptive algorithms demonstrate that the proposed method improves the signal-to-noise ratios as well as the perceived speech quality better than the conventional method.<>
Starting Page	343
Ending Page	346
File Size	266597
Page Count	4
File Format	PDF
ISBN	078031865X
DOI	10.1109/SIPNN.1994.344896
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-04-13
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Additive noise Acoustic noise Adaptive algorithm Adaptive filters Delay estimation Speech enhancement Noise cancellation Autocorrelation Least squares methods Signal to noise ratio
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

LMS Adaptive filtering for enhancing the quality of noisy speech

Gradient based adaptive filter algorithm for single channel acoustic echo cancellation in noise

Adaptive noise canceling for speech signals

Dual-channel speech enhancement using normalized fractional least-mean-squares algorithm

Pitch estimator for noisy speech signals

Adaptive cancellation of a periodic interference using the HGLS adaptation algorithm

A Novel LMS Algorithm Applied to Adaptive Noise Cancellation

A comparative performance evaluation of adaptive ARMA spectral estimation methods for noisy speech

A double RLS noise canceller and some related schemes

Single channel adaptive noise cancelation for enhancing noisy speech

Similar Documents

LMS Adaptive filtering for enhancing the quality of noisy speech

Gradient based adaptive filter algorithm for single channel acoustic echo cancellation in noise

Adaptive noise canceling for speech signals

Dual-channel speech enhancement using normalized fractional least-mean-squares algorithm

Pitch estimator for noisy speech signals

Adaptive cancellation of a periodic interference using the HGLS adaptation algorithm

A Novel LMS Algorithm Applied to Adaptive Noise Cancellation

A comparative performance evaluation of adaptive ARMA spectral estimation methods for noisy speech

A double RLS noise canceller and some related schemes

Single channel adaptive noise cancelation for enhancing noisy speech