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【答案】应助回帖
★ ★ ★ ★ ★ ★ ★ ★
gruyclewee: 金币+3, 感谢应助，奖励一下。 2013-11-27 09:17:49
wmz13248: 金币+5, ★★★★★最佳答案, 谢谢，十分感谢了！ 2013-11-27 11:19:22
oven1986: 检索EPI+1, 感谢你的应助！ 2013-12-01 20:36:51
SCI可以检索到了，如下
http://apps.webofknowledge.com/f ... age=1&doc=1
Improved DTW Speech Recognition Algorithm Based on the MEL Frequency Cepstral Coefficients
作者: Wei, MZ (Wei Ming-zhe)[ 1 ] ; Li, X (Li Xi)[ 1 ] ; Ren, LM (Ren Li-mian)[ 1 ]
编者: Yang, YX
来源出版物: 12TH ANNUAL MEETING OF CHINA ASSOCIATION FOR SCIENCE AND TECHNOLOGY ON INFORMATION AND COMMUNICATION TECHNOLOGY AND SMART GRID 页: 235-238 出版年: 2010
被引频次: 0 (来自 Web of Science)
引用的参考文献: 6 [ 查看 Related Records ] 引证关系图引证关系图
会议: 12th Annual Meeting of China Association for Science and Technology on Information and Communication Technology and Smart Grid 会议地点: Fujian, PEOPLES R CHINA 会议日期: NOV, 2010
摘要: The application of MEL cepstrum coefficients combined with the DTW algorithm has been relatively mature in speech recognition technology, and the recognition accuracy is also higher. But people have higher and higher requirement with the development of technology of speech recognition and the expansion of speech recognition technology application domain, so this method has not fully satisfies site. In this paper, an improved speech recognition algorithm has been proposed, which based on the improved MEL frequency cepstral coefficients. The MEL-Frequency Cepstral Coefficients (MFCC) as the characteristics template used in dynamic time warping (DTW) technique. The algorithm has been improved in the establishment of the template and matching process of the extracted voice signal characteristics. DTW algorithm can thus play its efficient and accurate. Compared to the classical method of the MEL frequency cepstral that directly applied to speech recognition as a template, this method can improve the recognition rate for the recognition of a speaker's word experiments.
入藏号: WOS:000285740900062
文献类型: Proceedings Paper
语种: English
作者关键词: MFCC; WFCC; DTW; Speech Recognition
通讯作者地址: Wei, MZ (通讯作者) Tangshan Coll, Dept Informat Engn, Tangshan, Peoples R China.
地址: [ 1 ] Tangshan Coll, Dept Informat Engn, Tangshan, Peoples R China
电子邮件地址: wmz13248@yahoo.com.cn
出版商: SCI RES PUBL, INC-SRP, 5005 PASEO SEGOVIA, IRVIN, CA 92603-3334 USA
Web of Science 类别: Engineering, Electrical & Electronic; Telecommunications
研究方向: Engineering; Telecommunications
IDS 号: BST32 |
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