NDLI: Blind channel estimation based on speech correlation structure

Content Provider	IEEE Xplore Digital Library
Author	Souilmi, Younes Rigazio, Luca Nguyen, Patrick Kryze, David Junqua, Jean-Claude
Copyright Year	2002
Description	Author affiliation: Panasonic Speech Technology Laboratory, 3888 State Street, Santa Barbara, CA 93105, USA (Souilmi, Younes; Rigazio, Luca; Nguyen, Patrick; Kryze, David; Junqua, Jean-Claude)
Abstract	Cepstral mean normalization is the standard technique for channel robustness. Despite its good performance, the effectiveness of cepstral mean normalization (CMN) for short sentences is argued. CMN underlying hypothesis that the speech cepstral mean is constant is not valid for short processing windows. This implies the removal of some phonetic information. In this paper we show that the speech correlation structure may be used to estimate the communication channel and we propose an efficient algorithm to compute this estimate. We argue that the resulting channel estimate is more accurate because the underlying hypothesis is better verified than the original CMN hypothesis. Results for the Kai-Fu Lee phone recognition task on NTIMIT, with acoustic models trained on TIMIT (mismatch conditions), show that our method provides an 8% relative error rate reduction as compared to CMN.
File Size	1854070
File Format	PDF
ISBN	0780374029
ISSN	15206149
DOI	10.1109/ICASSP.2002.5743737
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-05-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Channel estimation
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