Phone boundary detection using sample-based acoustic parameters

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

*Corresponding author for this work

Research output: Contribution to conferencePaper

3 Scopus citations

Abstract

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.

Original languageEnglish
Pages1397-1400
Number of pages4
StatePublished - 1 Dec 2010
Event11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010 - Makuhari, Chiba, Japan
Duration: 26 Sep 201030 Sep 2010

Conference

Conference11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010
CountryJapan
CityMakuhari, Chiba
Period26/09/1030/09/10

Keywords

  • Speech analysis
  • Speech segmentation

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  • Cite this

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