NDLI: Confidence-driven iterative speaker adaptation in transcription-mode speech recognition

Content Provider	IEEE Xplore Digital Library
Author	Jiazhi Ou Kaijiang Chen Zongge Li
Copyright Year	2001
Description	Author affiliation: Dept. of Comput. Sci., Fudan Univ., Shanghai, China (Jiazhi Ou)
Abstract	Speaker adaptation in transcription-mode speech recognition means adaptation on the test set itself rather than on an independent data set. A confidence-driven iterative adaptation approach is presented. Speech recognition and speaker adaptation are performed alternately. A combination of MLLR (maximum likelihood linear regression) and MAP (maximum a posteriori) approaches is used for adaptation. To avoid erroneous transcription in adaptation, an N-best based confidence measure is introduced. The procedure includes a coarse classification and a delicate measurement. Experiments were carried out on a large vocabulary Mandarin continuous speech recognition. A baseline model for comparison was built. The experimental results showed that our proposed approach reduced the word error rate by 51.8% compared to the initial speaker-independent system and 39.3% compared to the baseline model.
Sponsorship	China Assoc. Sci. & Technol.(CAST)
Starting Page	665
Ending Page	670
File Size	285642
Page Count	6
File Format	PDF
ISBN	0780370104
DOI	10.1109/ICII.2001.983656
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-10-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Vocabulary Error analysis Maximum likelihood linear regression Hidden Markov models Speech recognition Broadcasting Iterative methods Speech processing Testing
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

On the incremental addition of regression classes for speaker adaptation

Long term on-line speaker adaptation for large vocabulary dictation

A confidence-score based unsupervised MAP adaptation for speech recognition

Lattice-based MLLR for speaker recognition

Recent experiments in large vocabulary conversational speech recognition

Reference Speaker Weighting Adaptation for Sub-Phonetic Polynomial Segment Models

Speaker adaptation with all-pass transforms

Speaker adaptation in the Philips system for large vocabulary continuous speech recognition

Aggregate a posteriori linear regression for speaker adaptation

Confidence-driven iterative speaker adaptation in transcription-mode speech recognition

Similar Documents

On the incremental addition of regression classes for speaker adaptation

Long term on-line speaker adaptation for large vocabulary dictation

A confidence-score based unsupervised MAP adaptation for speech recognition

Lattice-based MLLR for speaker recognition

Recent experiments in large vocabulary conversational speech recognition

Reference Speaker Weighting Adaptation for Sub-Phonetic Polynomial Segment Models

Speaker adaptation with all-pass transforms

Speaker adaptation in the Philips system for large vocabulary continuous speech recognition

Aggregate a posteriori linear regression for speaker adaptation

Confidence-driven iterative speaker adaptation in transcription-mode speech recognition