NDLI: Robust Speech Recognition via Enhancing the Complex-Valued Acoustic Spectrum in Modulation Domain

Content Provider	IEEE Xplore Digital Library
Author	Jeih-Weih Hung Hsin-Ju Hsieh Berlin Chen
Copyright Year	2014
Abstract	The purpose of this paper is to develop a novel speech feature extraction framework for independently compensating the real and imaginary acoustic spectra of speech signals in the modulation domain with the techniques of histogram equalization (HEQ) and non-negative matrix factorization (NMF). By doing so, we can enhance not only the magnitude but also the phase components of the acoustic spectra, thereby creating noise-robust speech features. More specifically, the proposed framework makes the following three major contributions: First, via either of the HEQ and NMF operations, the long-term cross-frame correlation among the acoustic spectra at the same frequency can be captured to compensate for the spectral distortion caused by noise. Second, the noise effect can be handled in a high acoustic frequency resolution. Finally, the distortion dwelt in the acoustic spectra can be more extensively mitigated due to the independent processes for the respective real and imaginary parts. The evaluation experiments were carried out on the Aurora-2 and Aurora-4 benchmark tasks, and the corresponding results suggest that our proposed methods can achieve performance competitive to or better than many widely used noise robustness methods, including the well-known advanced front-end (AFE) extraction scheme, in speech recognition.
Starting Page	236
Ending Page	251
Page Count	16
File Size	2285081
File Format	PDF
ISSN	23299290
Volume Number	24
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2016-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech Speech recognition Modulation Histograms Mel frequency cepstral coefficient Speech enhancement non-negative matrix factorization (NMF) Automatic speech recognition (ASR) feature extraction histogram equalization (HEQ) modulation spectrum noise robustness
Content Type	Text
Resource Type	Article
Subject	Acoustics and Ultrasonics Signal Processing Instrumentation Speech and Hearing Electrical and Electronic Engineering Computational Mathematics Media Technology

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

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