https://scholars.lib.ntu.edu.tw/handle/123456789/498661
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Lin, W.-Y. | en_US |
dc.contributor.author | LIN-SHAN LEE | en_US |
dc.creator | Lin, W.-Y.;Lee, L.-S. | - |
dc.date.accessioned | 2020-06-11T06:22:08Z | - |
dc.date.available | 2020-06-11T06:22:08Z | - |
dc.date.issued | 2003 | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/498661 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-34547546161&doi=10.1109%2fASRU.2003.1318447&partnerID=40&md5=3d067ad24336661620aaeb74b0104dc4 | - |
dc.description.abstract | Tone recognition for fluent Mandarin speech has always been a very difficult problem, because the pitch contours vary seriously with the context conditions and the complicated tone behavior is difficult to analyze. In this paper, a new set of four inter-syllabic features are identified to characterize quantitatively such pitch contour variation with respect to the context conditions. In addition, a robust pitch extraction method is proposed by integrating the Adaptive Gabor Representation (AGR) and Instantaneous Frequency Amplitude Spectrum (IFAS). Experimental results indicate that accurate pitch values can be extracted under various noisy conditions, and the tone recognition accuracy can be improved significantly. © 2003 IEEE. | - |
dc.relation.ispartof | 2003 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2003 | - |
dc.subject.other | Continuous speech recognition; Extraction; Instantaneous frequency amplitude spectrum; Noisy conditions; Pitch contours; Pitch extraction; Pitch values; Tone recognition; Speech recognition | - |
dc.title | Improved tone recognition for fluent Mandarin speech based on new inter-syllabic features and robust pitch extraction | en_US |
dc.type | conference paper | en |
dc.relation.conference | IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2003 | - |
dc.identifier.doi | 10.1109/ASRU.2003.1318447 | - |
dc.identifier.scopus | 2-s2.0-34547546161 | - |
dc.relation.pages | 237-242 | - |
item.openairetype | conference paper | - |
item.openairecristype | http://purl.org/coar/resource_type/c_5794 | - |
item.fulltext | no fulltext | - |
item.grantfulltext | none | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | Networking and Multimedia | - |
crisitem.author.dept | Computer Science and Information Engineering | - |
crisitem.author.dept | Electrical Engineering | - |
crisitem.author.dept | Communication Engineering | - |
crisitem.author.dept | MediaTek-NTU Research Center | - |
crisitem.author.dept | Center for Artificial Intelligence and Advanced Robotics | - |
crisitem.author.orcid | 0000-0002-6039-8298 | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | Others: University-Level Research Centers | - |
crisitem.author.parentorg | Others: University-Level Research Centers | - |
顯示於: | 電機工程學系 |
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