2016年
F0 contour approximation model for a one-stream tonal word recognition system
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
- ,
- ,
- 巻
- 70
- 号
- 5
- 開始ページ
- 681
- 終了ページ
- 688
- 記述言語
- 英語
- 掲載種別
- DOI
- 10.1016/j.aeue.2016.02.006
- 出版者・発行元
- ELSEVIER GMBH, URBAN & FISCHER VERLAG
The performance of a non-tonal speech recognition system degrades when confronted with the task of recognizing tonal words. Several speech recognition applications require tonal word recognition. Therefore, this paper considers how to create a suitable tone model for a tonal syllable recognition system serving application devices based on a one-stream scheme. The fundamental frequency contour (F0 contour) approximation model is proposed here to estimate F0 continuity contours for all of a tonal word. The processes of approximation include voice detection, F0 smoothing, F0 forecasting, and F0 normalization. To model the F0 contours of unvoiced regions belonging to F0 forecasting, a linear regression function is used to create an approximate F0 contour. Experimental results indicate that the proposed model improves the accuracy of tonal word recognition by 8.6% and 12.2%, respectively, compared with conventional random and exponential approaches. (C) 2016 Elsevier GmbH. All rights reserved.
- リンク情報
-
- DOI
- https://doi.org/10.1016/j.aeue.2016.02.006
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000373865600022&DestApp=WOS_CPL
- URL
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84959473571&origin=inward
- ID情報
-
- DOI : 10.1016/j.aeue.2016.02.006
- ISSN : 1434-8411
- eISSN : 1618-0399
- SCOPUS ID : 84959473571
- Web of Science ID : WOS:000373865600022