法令 发表于 2025-3-21 18:26:40
书目名称Hierarchical Neural Network Structures for Phoneme Recognition影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0426142<br><br> <br><br>书目名称Hierarchical Neural Network Structures for Phoneme Recognition影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0426142<br><br> <br><br>书目名称Hierarchical Neural Network Structures for Phoneme Recognition网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0426142<br><br> <br><br>书目名称Hierarchical Neural Network Structures for Phoneme Recognition网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0426142<br><br> <br><br>书目名称Hierarchical Neural Network Structures for Phoneme Recognition被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0426142<br><br> <br><br>书目名称Hierarchical Neural Network Structures for Phoneme Recognition被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0426142<br><br> <br><br>书目名称Hierarchical Neural Network Structures for Phoneme Recognition年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0426142<br><br> <br><br>书目名称Hierarchical Neural Network Structures for Phoneme Recognition年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0426142<br><br> <br><br>书目名称Hierarchical Neural Network Structures for Phoneme Recognition读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0426142<br><br> <br><br>书目名称Hierarchical Neural Network Structures for Phoneme Recognition读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0426142<br><br> <br><br>Acclaim 发表于 2025-3-21 23:10:20
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978-3-642-43210-1Springer Berlin Heidelberg 2013Mercantile 发表于 2025-3-22 12:36:54
Hierarchical Neural Network Structures for Phoneme Recognition978-3-642-34425-1Series ISSN 1860-4862 Series E-ISSN 1860-4870使人入神 发表于 2025-3-22 13:37:49
Daniel Vasquez,Rainer Gruhn,Wolfgang MinkerSimplifies the analysis in spoken language dialogue systems.Investigates hierarchical structures based on neural networks for automatic speech recognition.Written for academic and industrial researcheintegral 发表于 2025-3-22 19:14:48
Signals and Communication Technologyhttp://image.papertrans.cn/h/image/426142.jpg我要沮丧 发表于 2025-3-22 22:51:51
Theoretical Framework for Phoneme Recognition Analysis,y exploited in e.g. ... A common feature extraction method is Linear Prediction Coding (LPC). As it was explained in Section 2.1.1, this method models the speech production based on a finite impulse response (FIR) filter. The impulse response coefficients of the filter are estimated based on the autocorrelation function of the speech signal.拱形面包 发表于 2025-3-23 01:58:08
Summary and Conclusions,the area of ASR. Besides being directly related to automatic speech recognition, phoneme recognition has been also applied to speaker recognition, speech detection, language identification, OOV word detection, keyword spotting, among others.Emasculate 发表于 2025-3-23 09:26:33
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