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dc.contributor.authorWang, Yih-Ruen_US
dc.date.accessioned2019-04-02T06:04:14Z-
dc.date.available2019-04-02T06:04:14Z-
dc.date.issued2011-01-01en_US
dc.identifier.urihttp://hdl.handle.net/11536/150568-
dc.description.abstractIn this paper, a two-stage sample-based phone boundary detection algorithm is proposed. In the first stage, some local sample-based acoustic parameters are used to pre-select some phone boundary candidates. Then, in the second stage, some high-order statistics of the log-likelihood differences of two adjacent speech segments around each boundary candidate are calculated to serve as similarity measure for candidate verification. Experimental results on the TIMIT speech corpus showed that ERRS of 8.6% and 7.6% were achieved for one-stage and two-stage sample-based phone boundary detections, respectively. Moreover, for the two-stage system, 42.1% and 81.9% of boundaries detected were within 5- and 15-sample error tolerance from manual labeling results.en_US
dc.language.isoen_USen_US
dc.subjectphone boundary detectionen_US
dc.subjectsimilarity measureen_US
dc.titleA Two-Stage Sample-based Phone Boundary Detector using Segmental Similarity Featuresen_US
dc.typeProceedings Paperen_US
dc.identifier.journal12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5en_US
dc.citation.spage420en_US
dc.citation.epage423en_US
dc.contributor.department傳播研究所zh_TW
dc.contributor.departmentInstitute of Communication Studiesen_US
dc.identifier.wosnumberWOS:000316502200107en_US
dc.citation.woscount0en_US
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