拼图游戏
发表于 2025-3-21 16:33:33
书目名称New Era for Robust Speech Recognition影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0665184<br><br> <br><br>书目名称New Era for Robust Speech Recognition影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0665184<br><br> <br><br>书目名称New Era for Robust Speech Recognition网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0665184<br><br> <br><br>书目名称New Era for Robust Speech Recognition网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0665184<br><br> <br><br>书目名称New Era for Robust Speech Recognition被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0665184<br><br> <br><br>书目名称New Era for Robust Speech Recognition被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0665184<br><br> <br><br>书目名称New Era for Robust Speech Recognition年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0665184<br><br> <br><br>书目名称New Era for Robust Speech Recognition年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0665184<br><br> <br><br>书目名称New Era for Robust Speech Recognition读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0665184<br><br> <br><br>书目名称New Era for Robust Speech Recognition读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0665184<br><br> <br><br>
有常识
发表于 2025-3-21 23:14:24
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indifferent
发表于 2025-3-22 04:27:42
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humectant
发表于 2025-3-22 05:57:43
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Lacunar-Stroke
发表于 2025-3-22 11:52:26
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reaching
发表于 2025-3-22 15:41:02
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Mingle
发表于 2025-3-22 20:26:12
Sequence-Discriminative Training of Neural Networksinator language model order and frame-smoothing, that may improve the recognition performance. We further propose a two-forward-pass procedure to speed up sequence-discriminative training when memory is the main constraint. Experiments were conducted on the AMI meeting corpus.
intoxicate
发表于 2025-3-22 21:56:00
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compel
发表于 2025-3-23 04:21:11
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gout109
发表于 2025-3-23 06:08:21
Discriminative Beamforming with Phase-Aware Neural Networks for Speech Enhancement and Recognitionopy cost function of ASR. In our experiments, the BF network is trained with both artificially generated and real microphone array signals. On the AMI meeting transcription, we found that the trained BF network produces competitive ASR results compared to traditional delay-and-sum beamforming on unseen array signals.