NDLI: Automatic detection of contrastive word pairs using textual and acoustic features

Content Provider	IEEE Xplore Digital Library
Author	Zang, Xiao Wu, Zhiyong Ning, Yishuang Meng, Helen Cai, Lianhong
Copyright Year	2014
Description	Author affiliation: Tsinghua-CUHK Joint Research Center for Media Sciences, Technologies and Systems Graduate School at Shenzhen, Tsinghua University, 518055, China (Zang, Xiao; Wu, Zhiyong; Ning, Yishuang; Meng, Helen; Cai, Lianhong)
Abstract	Labeling emphatic words from speech recordings plays an important role in building speech corpus for expressive speech synthesis. People generally pronounce some words stronger than usual, making the speech more expressive and signaling the focus of the sentence. Contrastive word pairs are often pronounced with stronger prominences and their presence modifies the meaning of the utterance in subtle but important ways. We used a subset of Switchboard corpus to study the acoustic characteristics of contrastive word pairs and the differences between contrastive and non-contrastive words. To address the problem of automatic detection of contrastive word pairs, support vector machines (SVMs) are used to automatically detect contrastive word pairs. We report the results for automatic detection of contrastive word pairs based on textual and acoustic features. By adding acoustic features, a much better performance is achieved.
Starting Page	594
Ending Page	598
File Size	299577
Page Count	5
File Format	PDF
ISBN	9781479921881
ISSN	21645221
e-ISBN	9781479921867
DOI	10.1109/ICOSP.2014.7015073
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Abstracts Acoustics Legged locomotion support vector machines (SVMs) Automatic detection contrastive word pair acoustic features
Content Type	Text
Resource Type	Article

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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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