24小时热门版块排行榜

返回列表

本帖产生 1 个 LS-EPI ，点击这里进行查看

wmz13248

新虫 (初入文坛)

应助: 0 (幼儿园)
金币: 102.5
帖子: 2
在线: 3小时
虫号: 520881
注册: 2008-03-08
性别: GG
专业: 通信与信息系统

[求助] 虫友帮忙给查一下是否检索

我在第十二届中国科协年会论文集（12th Annual Meeting of China Association for Science and Technology on Information and Communication Technology and Smart Grid）发表了一篇文章，请虫友帮忙给查一下是否被ISTP或是EI检索，12th Annual Meeting of China Association for Science and Technology on Information and Communication Technology and Smart Grid，题目：Improved DTW Speech Recognition Algorithm Based on the MEL Frequency Cepstral Coefficients，另外，我想要检索证明，需要怎么弄啊，谢谢

回复此楼

» 猜你喜欢

1楼 2013-11-26 21:49:20

已阅回复此楼关注TA 给TA发消息送TA红花 TA的回帖

baiyuefei

版主 (文学泰斗)

风雪

LS-EPI: 1647
应助: 4642 (副教授)
贵宾: 46.969
金币: 658157
散金: 11616
红花: 995
沙发: 81
帖子: 69389
在线: 13298.6小时
虫号: 676696
注册: 2008-12-18
性别: GG
专业: 合成药物化学
管辖: 有机交流

【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