Very-large-vocabulary Mandarin voice message file retrieval using speech queries

Abstract

In order to solve the problem with the new environment of fast growth of audio resources on the Internet, this paper presents a new approach which is capable of retrieving Mandarin voice message files using queries of unconstrained speech. By properly utilizing the monosyllabic structure of the Chinese language, the proposed approach performs the statistical similarity estimation between the speech queries and the voice message files, and executes the complete matching process directly at the phonetic level using syllable-based statistical information. Based on this approach, some experiments are tested and encouraging results are demonstrated.

Intelligent Content-Based Audio Classification and Retrieval for Web Applications

“…[Viswanathan et al, (1999)] proposed another spoken documents retrieval system utilized both content and speaker information together in retrieval by combining the results. Instead of speech transcription in normal spoken document retrieval system, [Bai et al, (1996)] represented a very-large-vocabulary Mandarin voice message file retrieval using speech queries.…”

Syllable-Based Chinese Text/Spoken Document Retrieval Using Text/Speech Queries

“…Intelligent and efficient information retrieval techniques allowing easy access to huge amount and various types of information become highly desired. With the advances in speech recognition technology, proper integration of information retrieval and speech recognition has been considered by many researchers [1][2][3][4][5][6]. Because Chinese language is not alphabetic and input of Chinese characters into computers is very difficult, a multi-modal interface for retrieving Chinese text/spoken documents is especially highly desired, and thus this framework is the primary focus of this paper.…”