NDLI: A kind of modified speech enhancement algorithm based on wavelet package transformation

Content Provider	IEEE Xplore Digital Library
Author	Zhang, L.H. Rong, G.F.
Copyright Year	2008
Description	Author affiliation: Coll. of Telecommun. & Inf. Eng., Nanjing Univ. of Posts & Telecommun., Nanjing (Zhang, L.H.; Rong, G.F.)
Abstract	The framework of traditional speech enhancement algorithm based on the wavelet package transformation is composed of three parts, which lies in the decomposition to the noisy speech signal based on wavelet package transformation (WPD), the denoising to the coefficients of wavelet decomposition and the reconstruction of the clean speech signal. The proposed algorithm focuses on three points to improve the performance of the traditional speech enhancement algorithm. In the first part, special decomposition of the wavelet package is adopted to mimic the model of the human ears (WPDHE). In the second part, the adaptive thresh estimation (ATHRSH) and the combination of soft threshold and the modified hard threshold functions (CSMHDF) are used. The experiments prove that this algorithm is more sufficient than the traditional speech enhancement algorithm.
Starting Page	421
Ending Page	425
File Size	254639
Page Count	5
File Format	PDF
ISBN	9781424422388
DOI	10.1109/ICWAPR.2008.4635816
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	U-law threshold function Soft threshold function Noise reduction Noise Speech enhancement Speech Wavelet analysis Wavelet package decomposition Noise measurement 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

Research of speech enhancement method based on Hilbert-Huang Transform and wavelet transform

Wavelet-based de-noising of speech using adaptive decomposition

A Novel Wavelet Packet Speech Enhancement Algorithm Based On Time-Frequency Threshold

A combination of semisoft and μ-law thresholding functions for enhancing noisy speech in wavelet packet domain

Noise reduction from speech signal based on wavelet transform and Kullback-Leibler divergence

A novel speech enhancement approach based on Singular Value Decomposition and Genetic Algorithm

Wavelet packet based multiple noises suppression in single channel speech using binary mask threshold

A novel perceptual distortion minimization speech enhancement algorithm

Signal denoising based on wavelet transform using a multi-level threshold function

A kind of modified speech enhancement algorithm based on wavelet package transformation

Similar Documents

Research of speech enhancement method based on Hilbert-Huang Transform and wavelet transform

Wavelet-based de-noising of speech using adaptive decomposition

A Novel Wavelet Packet Speech Enhancement Algorithm Based On Time-Frequency Threshold

A combination of semisoft and μ-law thresholding functions for enhancing noisy speech in wavelet packet domain

Noise reduction from speech signal based on wavelet transform and Kullback-Leibler divergence

A novel speech enhancement approach based on Singular Value Decomposition and Genetic Algorithm

Wavelet packet based multiple noises suppression in single channel speech using binary mask threshold

A novel perceptual distortion minimization speech enhancement algorithm

Signal denoising based on wavelet transform using a multi-level threshold function

A kind of modified speech enhancement algorithm based on wavelet package transformation