11th Annual Conference of the International Speech Communication Association

Makuhari, Chiba, Japan
September 26-30. 2010

Phone Boundary Detection Using Sample-Based Acoustic Parameters

You-Yu Lin (1), Yih-Ru Wang (1), Yuan-Fu Liao (2)

(1) National Chiao Tung University, Taiwan
(2) National Taipei University of Technology, Taiwan

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 pre-selection. 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.

Full Paper

Bibliographic reference.  Lin, You-Yu / Wang, Yih-Ru / Liao, Yuan-Fu (2010): "Phone boundary detection using sample-based acoustic parameters", In INTERSPEECH-2010, 1397-1400.