NDLI: Phrase classes in two-level language models for ASR

Content Provider	Springer Nature Link
Author	Justo, Raquel Torres, M. Inés
Copyright Year	2009
Abstract	In this work, we propose and compare two different approaches to a two-level language model. Both of them are based on phrase classes but they consider different ways of dealing with phrases into the classes. We provide a complete formulation consistent with the two approaches. The language models proposed were integrated into an Automatic Speech Recognition (ASR) system and evaluated in terms of Word Error Rate. Several series of experiments were carried out over a spontaneous human–machine dialogue corpus in Spanish, where users asked for information about long-distance trains by telephone. It can be extracted from the obtained results that the integration of phrases into classes when using the language models proposed leads to an improvement of the performance of an ASR system. Moreover, the obtained results seem to indicate that the history length with which the best performance is achieved is related to the features of the model itself. Thus, not all the models show the best results with the same value of history length.
Starting Page	427
Ending Page	437
Page Count	11
File Format	PDF
ISSN	14337541
Journal	Pattern Analysis & Applications
Volume Number	12
Issue Number	4
e-ISSN	1433755X
Language	English
Publisher	Springer-Verlag
Publisher Date	2009-08-19
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Language model Phrases Classification Cooperation between model Pattern Recognition
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Vision and Pattern Recognition

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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
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