A study on Mandarin broadcast news speech recognition

dc.citation.epage	260	en_US
dc.citation.spage	257	en_US
dc.contributor.author	Chen, CL	en_US
dc.contributor.author	Wang, YR	en_US
dc.contributor.author	Chen, SH	en_US
dc.contributor.department	電信工程研究所	zh_TW
dc.contributor.department	Institute of Communications Engineering	en_US
dc.date.accessioned	2014-12-08T15:25:48Z
dc.date.available	2014-12-08T15:25:48Z
dc.date.issued	2004	en_US
dc.description.abstract	In this paper, a basic Mandarin broadcast news speech recognition system is constructed using the MATBN database. It considers the acoustic modeling for Mandarin base-syllables, particles, and paralinguistic phenomena. It also considers environment-dependent acoustic modeling for three recording environments: studio anchors, outdoor reporters, and outdoor interviewee. Moreover, it incorporates a bigram language model with adaptation using data in MATBN. Syllable recognition rates of 89.64, 84.42 and 61.62% were achieved for the three environments of anchors, reporters and interviewees, respectively.	en_US
dc.identifier.isbn	0-7803-8678-7	en_US
dc.identifier.journal	2004 International Symposium on Chinese Spoken Language Processing, Proceedings	en_US
dc.identifier.uri	https://ir.lib.nycu.edu.tw/handle/11536/18229
dc.identifier.wosnumber	WOS:000228097200065
dc.language.iso	en_US	en_US
dc.title	A study on Mandarin broadcast news speech recognition	en_US
dc.type	Proceedings Paper	en_US

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