By Topic

Syllable-based relevance feedback techniques for Mandarin voice record retrieval using speech queries

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Lin-Shan Lee ; Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan ; Bo-Ren Bai ; Lee-Feng Chien

In order to solve the problem with the new environment of fast growth of audio resources on the Internet, we have presented a syllable-based approach which is capable of retrieving Mandarin voice records using queries of unconstrained speech. However, the performance achieved by this previously proposed approach is still not satisfactory, and one of the reason is that very often the information provided by the speech query for the request subject may not be sufficient. We present approaches based the relevance feedback technique to improving the performance of the previous research. The proposed approaches include a relevance measure adjustment scheme using a relevance table for the voice database, a query expansion scheme to generate a new query including the feedback information, and a combination of these two schemes. Extensive preliminary experiments were performed and demonstrated

Published in:

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on  (Volume:2 )

Date of Conference:

21-24 Apr 1997