NDLI: Hierarchical search for large-vocabulary conversational speech recognition: working toward a solution to the decoding problem

Please wait, while we are loading the content...

Hierarchical search for large-vocabulary conversational speech recognition: working toward a solution to the decoding problem

Content Provider	IEEE Xplore Digital Library
Author	Deshmukh, N. Ganapathiraju, A. Picone, J.
Copyright Year	1991
Description	Large vocabulary continuous speech recognition (LVCSR) systems have advanced significantly due to the ability to handle extremely large problem spaces in fairly small amounts of memory. The article introduces the search problem, discusses in detail a typical implementation of a search engine, and demonstrates the efficacy of this approach on a range of problems. The approach presented is scalable across a wide range of applications. It is designed to address research needs, where a premium is placed on the flexibility of the system architecture, and the needs of application prototypes, which require near-real-time speed without a great sacrifice in word error rate (WER). One major area of focus for researchers is the development of real-time systems. With only minor degradations in performance (typically, no more than a 25% increase in WER), the systems described in this article can be transformed into systems that operate at 10/spl times/RT or less. There are four active areas of research related to this problem. First, more intelligent pruning algorithms that prune the search space more heavily are required. Look-ahead and N-best strategies at all levels of the system are key to achieving such large reductions in the search space. Second, multi-pass systems that perform a quick search using a simple system, and then rescore only the N-best resulting hypotheses using better models are very popular for real-time implementation. Third, since much of the computation in these systems is devoted to acoustic model processing, fast-matching strategies within the acoustic model are important. Finally, since Gaussian evaluation at each state in the system is a major consumer of CPU time, vector quantization-like approaches that enable one to compute only a small number of Gaussians per frame are proven to be successful. In some sense, the Viterbi (1967) based system presented represents only one path through this continuum of recognition search strategies.
Starting Page	84
Ending Page	107
Page Count	24
File Size	2097506
File Format	PDF
ISSN	10535888
Volume Number	16
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-09-01
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 recognition Costs Merging Encoding Programmable control Hidden Markov models Soil Art Resource management Optimized production technology
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics 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

Hierarchical search for large vocabulary conversational speech recognition (1999)

A dynamic in-search discriminative training approach for large vocabulary speech recognition

Optimized large vocabulary WFST speech recognition system

Time-first search for large vocabulary speech recognition

Context-dependent phonetic Markov models for large vocabulary speech recognition

Efficient nn-rasud search space reduction in a large vocabulary speech recognition system

Generalized hierarchical search in the ISIP ASR system

Recent improvements to the ABBOT large vocabulary CSR system

Duration modeling in large vocabulary speech recognition

Hierarchical search for large-vocabulary conversational speech recognition: working toward a solution to the decoding problem

Similar Documents

Hierarchical search for large vocabulary conversational speech recognition (1999)

A dynamic in-search discriminative training approach for large vocabulary speech recognition

Optimized large vocabulary WFST speech recognition system

Time-first search for large vocabulary speech recognition

Context-dependent phonetic Markov models for large vocabulary speech recognition

Efficient nn-rasud search space reduction in a large vocabulary speech recognition system

Generalized hierarchical search in the ISIP ASR system

Recent improvements to the ABBOT large vocabulary CSR system

Duration modeling in large vocabulary speech recognition

Hierarchical search for large-vocabulary conversational speech recognition: working toward a solution to the decoding problem