Taft
发表于 2025-3-21 18:47:16
书目名称Recent Advances in Speech Understanding and Dialog Systems影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0822996<br><br> <br><br>书目名称Recent Advances in Speech Understanding and Dialog Systems影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0822996<br><br> <br><br>书目名称Recent Advances in Speech Understanding and Dialog Systems网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0822996<br><br> <br><br>书目名称Recent Advances in Speech Understanding and Dialog Systems网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0822996<br><br> <br><br>书目名称Recent Advances in Speech Understanding and Dialog Systems被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0822996<br><br> <br><br>书目名称Recent Advances in Speech Understanding and Dialog Systems被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0822996<br><br> <br><br>书目名称Recent Advances in Speech Understanding and Dialog Systems年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0822996<br><br> <br><br>书目名称Recent Advances in Speech Understanding and Dialog Systems年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0822996<br><br> <br><br>书目名称Recent Advances in Speech Understanding and Dialog Systems读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0822996<br><br> <br><br>书目名称Recent Advances in Speech Understanding and Dialog Systems读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0822996<br><br> <br><br>
Asymptomatic
发表于 2025-3-21 23:29:17
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黄瓜
发表于 2025-3-22 02:09:14
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condescend
发表于 2025-3-22 06:34:17
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obtuse
发表于 2025-3-22 10:53:20
Recent Advances in Speech Understanding and Dialog Systems978-3-642-83476-9Series ISSN 0258-1248
Misgiving
发表于 2025-3-22 14:50:58
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寻找
发表于 2025-3-22 18:40:15
https://doi.org/10.1007/978-3-642-83476-9cognition; hidden Markov model; knowledge; knowledge base; linguistics; search algorithm; speech recogniti
GEON
发表于 2025-3-23 00:50:29
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septicemia
发表于 2025-3-23 03:35:20
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猛然一拉
发表于 2025-3-23 08:24:46
Conference proceedings 1988ustic-phonetic decoding. Techniques to integrate knowledge sources into speech recognition systems are presented and demonstrated by experimental systems. The fourth invited paper gives an overview of approaches for using prosodic knowledge in automatic speech recogni tion systems, and a method for