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wmz13248

新虫 (初入文坛)

[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
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baiyuefei

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风雪

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【答案】应助回帖

EI,按照标题检索,暂未检索到
3楼2013-11-27 06:59:30
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baiyuefei

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风雪

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★ ★ ★ ★ ★ ★ ★ ★
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
2楼2013-11-27 06:51:01
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wmz13248

新虫 (初入文坛)

您好!我想问一下您是否能确定是被SCI检索了吗?我找别人给开检索证明的时候,人家告诉我,我的文章只是ISTP检索,所以过来向您求证一下,谢谢您!
4楼2013-11-27 14:52:32
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