NDLI: Low bit-rate feature vector compression using transform coding and non-uniform bit allocation

Content Provider	IEEE Xplore Digital Library
Author	Milner, B. Xu Shao
Copyright Year	2003
Description	Author affiliation: Sch. of Inf. Syst., East Anglia Univ., Norwich, UK (Milner, B.; Xu Shao)
Abstract	The paper presents a novel method for the low bit-rate compression of a feature vector stream with particular application to distributed speech recognition. The scheme operates by grouping feature vectors into non-overlapping blocks and applying a transformation to give a more compact matrix representation. Both Karhunen-Loeve and discrete cosine transforms are considered. Following transformation, higher-order columns of the matrix can be removed without loss in recognition performance. The number of bits allocated to the remaining elements in the matrix is determined automatically using a measure of their relative information content. Analysis of the amplitude distribution of the elements indicates that non-linear quantisation is more appropriate than linear quantisation. Comparative results, based on both spectral distortion and speech recognition accuracy, confirm this. Speech recognition tests using the ETSI Aurora database demonstrate that compression to bits rates of 2400 bps, 1200 bps and 800 bps has very little effect on recognition accuracy. For example at a bit rate of 1200 bps, recognition accuracy is 98.0% compared to 98.6% with no compression.
Sponsorship	IEEE Signal Process, Soc
File Size	289292
File Format	PDF
ISBN	0780376633
ISSN	15206149
DOI	10.1109/ICASSP.2003.1202311
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-04-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Transform coding Bit rate Speech recognition Quantization Discrete cosine transforms Performance loss Distortion measurement Nonlinear distortion Testing Telecommunication standards
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