Speaker-and-environment Change Detection in Broadcast News using the Common Component GMM-based Divergence Measure

Yih-Ru Wang, Chi Han Huang

研究成果同行評審

7 引文 斯高帕斯(Scopus)

摘要

In this paper, a GMM with common mixture components, referred to as the common component GMM (CCGMM), is proposed to be the signal model for calculating the diversity measure for the speaker-and-environment change detection in broadcast news signal. The use of GMM is to increase the accuracy of audio signal modeling while the use of common mixture components is to solve the complexity problem of parameter estimation and similarity measure evaluation. Experimental results on a TV broadcast news database showed that it outperformed a BIC-based method. A MDR of 21.9% with 16.0% FAR was achieved.

原文English
頁面1069-1072
頁數4
出版狀態Published - 10月 2004
事件8th International Conference on Spoken Language Processing, ICSLP 2004 - Jeju, Jeju Island, 韓國
持續時間: 4 10月 20048 10月 2004

Conference

Conference8th International Conference on Spoken Language Processing, ICSLP 2004
國家/地區韓國
城市Jeju, Jeju Island
期間4/10/048/10/04

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