NDLI: Voicing detection based on adaptive aperiodicity thresholding for speech enhancement in non-stationary noise

Content Provider	IET Digital Library
Author	Molero, Pablo Cabañas Muñoz, Damian Martínez Candeas, Pedro Vera Reyes, Nicolas Ruiz Serrano, Francisco José Rodríguez
Abstract	In this study, the authors present a novel voicing detection algorithm which employs the well-known aperiodicity measure to detect voiced speech in signals contaminated with non-stationary noise. The method computes a signal-adaptive decision threshold which takes into account the current noise level, enabling voicing detection by direct comparison with the extracted aperiodicity. This adaptive threshold is updated at each frame by making a simple estimate of the current noise power, and thus is adapted to fluctuating noise conditions. Once the aperiodicity is computed, the method only requires a small number of operations, and enables its implementation in challenging devices (such as hearing aids) if an efficient approximation of the difference function is employed to extract the aperiodicity. Evaluation over a database of speech sentences degraded by several types of noise reveals that the proposed voicing classifier is robust against different noises and signal-to-noise ratios. In addition, to evaluate the applicability of the method for speech enhancement, a simple F 0-based speech enhancement algorithm integrating the proposed classifier is implemented. The system is shown to achieve competitive results, in terms of objective measures, when compared with other well-known speech enhancement approaches.
Starting Page	119
Ending Page	130
Page Count	12
ISSN	17519675
Volume Number	8
e-ISSN	17519683
Issue Number	Issue 2, Apr (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/8/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2012.0224
Journal	IET Signal Processing
Publisher Date	2013-08-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Aperiodicity Thresholding Fluctuating Noise Hearing Aids Nonstationary Noise Signal to Noise Ratio Signal-adaptive Decision Speech And Audio Signal Processing Speech Enhancement Speech Processing Technique Speech Sentences Database Voicing Classifier Voicing Detection
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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

Spatial audio activity detection for hearing aids

Evaluation of a model for voice enhancement system of two channels

Two-stage adaptive filtering techniques for noise cancellation in hearing aids

Sub-band adaptive speech enhancement for hearing aids

Coherence-assisted Wiener filter binaural speech enhancement

Speech enhancement in hearing aids - from noise suppression to rendering of auditory scenes

Evaluation of generalized maximum a posteriori spectral amplitude (GMAPA) speech enhancement algorithm in hearing aids

An evaluation of hearing-aid array processing

Laplacian Speech Model and Soft Decision Based MMSE Estimator for Noise Power Spectral Density in Speech Enhancement

Voicing detection based on adaptive aperiodicity thresholding for speech enhancement in non-stationary noise

Similar Documents

Spatial audio activity detection for hearing aids

Evaluation of a model for voice enhancement system of two channels

Two-stage adaptive filtering techniques for noise cancellation in hearing aids

Sub-band adaptive speech enhancement for hearing aids

Coherence-assisted Wiener filter binaural speech enhancement

Speech enhancement in hearing aids - from noise suppression to rendering of auditory scenes

Evaluation of generalized maximum a posteriori spectral amplitude (GMAPA) speech enhancement algorithm in hearing aids

An evaluation of hearing-aid array processing

Laplacian Speech Model and Soft Decision Based MMSE Estimator for Noise Power Spectral Density in Speech Enhancement

Voicing detection based on adaptive aperiodicity thresholding for speech enhancement in non-stationary noise