Flippant 发表于 2025-3-21 16:27:10
书目名称Language Identification Using Spectral and Prosodic Features影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0580928<br><br> <br><br>书目名称Language Identification Using Spectral and Prosodic Features影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0580928<br><br> <br><br>书目名称Language Identification Using Spectral and Prosodic Features网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0580928<br><br> <br><br>书目名称Language Identification Using Spectral and Prosodic Features网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0580928<br><br> <br><br>书目名称Language Identification Using Spectral and Prosodic Features被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0580928<br><br> <br><br>书目名称Language Identification Using Spectral and Prosodic Features被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0580928<br><br> <br><br>书目名称Language Identification Using Spectral and Prosodic Features年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0580928<br><br> <br><br>书目名称Language Identification Using Spectral and Prosodic Features年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0580928<br><br> <br><br>书目名称Language Identification Using Spectral and Prosodic Features读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0580928<br><br> <br><br>书目名称Language Identification Using Spectral and Prosodic Features读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0580928<br><br> <br><br>micturition 发表于 2025-3-21 23:44:03
Language Identification Using Prosodic Features,ecific prosodic features at syllable, word and global levels for LID task. For improving the recognition accuracy of LID system further, combination of spectral and prosodic features has been explored.cipher 发表于 2025-3-22 02:00:56
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2191-737X veloping robust LID systems according to specific spectral and prosodic features. Finally, the book discuss about various combinations of spectral and prosodic features, and the desired models to enhance the performance of LID systems.978-3-319-17162-3978-3-319-17163-0Series ISSN 2191-737X Series E-ISSN 2191-7388Ischemia 发表于 2025-3-22 13:29:14
K. Sreenivasa Rao,V. Ramu Reddy,Sudhamay MaityDiscusses recently proposed spectral features extracted from glottal closure regions and pitch-synchronous analysis, which are more robust and carry high degree of language discrimination information.CODE 发表于 2025-3-22 17:54:23
SpringerBriefs in Speech Technologyhttp://image.papertrans.cn/l/image/580928.jpg牌带来 发表于 2025-3-22 21:27:23
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,Language Identification Using Spectral Features,n (LID) performance. Speaker-dependent and independent language models are also discussed in view of LID. Spectral features extracted from conventional block processing, pitch synchronous analysis, and glottal closure regions are examined for discriminating the languages.EXULT 发表于 2025-3-23 09:11:07
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