Phone boundary detection using sample-based acoustic parameters

You Yu Lin*, Yih-Ru Wang, Yuan Fu Liao

*Corresponding author for this work

研究成果: Paper

3 引文 斯高帕斯(Scopus)

摘要

A sample-based phone boundary detection algorithm is proposed in this paper. Some sample-based acoustic parameters are first extracted in the proposed method, including six sub-band signal envelopes, sample-based KL distance and spectral entropy. Then, the sample-based KL distance is used for boundary candidates preselection. Last, a supervised neural network is employed for final boundary detection. Experimental results using the TIMIT speech corpus showed that EERs of 13.2% and 15.1% were achieved for the training and test data sets, respectively. Moreover, 43.5% and 88.2% of boundaries detected were within 80- and 240-sample error tolerance from manual labeling results at the EER operating point.

原文English
頁面1397-1400
頁數4
出版狀態Published - 1 十二月 2010
事件11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010 - Makuhari, Chiba, Japan
持續時間: 26 九月 201030 九月 2010

Conference

Conference11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010
國家Japan
城市Makuhari, Chiba
期間26/09/1030/09/10

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  • 引用此

    Lin, Y. Y., Wang, Y-R., & Liao, Y. F. (2010). Phone boundary detection using sample-based acoustic parameters. 1397-1400. 論文發表於 11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010, Makuhari, Chiba, Japan.