NDLI: Combining text and prosodic analysis for prominent word detection

Content Provider	IEEE Xplore Digital Library
Author	Ajmera, J. Deshmukh, O.D.
Copyright Year	2012
Description	Author affiliation: IBM Research India, New Delhi (Ajmera, J.; Deshmukh, O.D.)
Abstract	This paper presents an approach that considers both the corpus level (global) information as well as localized acoustic patterns to discover prominent words in an audio conversations. The global information is extracted by using text analysis techniques, in particular latent Dirichlet allocation (LDA), that extracts domain specific prominent words and also arranges them in a set of topics. The domain specific terms thus extracted are used for training an acoustic classifier that considers prosodic patterns around these terms and automatically learns features that are important for distinguishing prominent words from non-prominent ones. At the evaluation time, we extract prosodic feature and query the acoustic classifier for its prominent state. We evaluate our proposed system using a set of 40 manually annotated audio conversations. Experiments show that the proposed approach has a recall of up to 51% and a precision of 33% in detecting the prominent words. Note that both the lexical and the prosodic classifiers are trained in a purely unsupervised manner.
Starting Page	1534
Ending Page	1537
File Size	184542
Page Count	4
File Format	PDF
ISBN	9781467322164
ISSN	10514651
e-ISBN	9784990644109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-11
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	ICPR Org Committee
Subject Keyword	Acoustics Training Text analysis Feature extraction Speech Engines Resource management
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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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
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