Fourth European Conference on Speech Communication and Technology

Madrid, Spain
September 18-21, 1995

A Syllable-Based Very-Large-Vocabulary Voice Retrieval System For Chinese Databases with Textual Attributes

Sung-Chien Lin (1), Lee-Feng Chien (2), Keh-Jiann Chen (2), Lin-Shan Lee (1,2)

(1) Dept. of Computer Science and Information Engineering, National Taiwan University, Taiwan
(2) Institute of Information Science, Academia Sinica, Taipei, Taiwan

In this paper a syllable-based voice retrieval approach for Chinese textual databases retrieval is presented. The presented approach can reduce most of difficulties of Chinese voice retrieval and easily integrate with the continuous speech recognition technology of the Mandarin dictation machine, Golden Mandarin (m). The experimental results show that the presented approach is easy to implement and systems based on it can allow users to retrieve Chinese textual databases using spoken queries and unconstrained vocabulary. Although the proposed approach is statistics-based and has some restrictions in linguistic analysis, the achieved results are very encouraging and have shown its feasibility in creating practical applications which demand the recognition ability of very large vocabulary.

Full Paper

Bibliographic reference.  Lin, Sung-Chien / Chien, Lee-Feng / Chen, Keh-Jiann / Lee, Lin-Shan (1995): "A syllable-based very-large-vocabulary voice retrieval system for Chinese databases with textual attributes", In EUROSPEECH-1995, 203-206.