连结
发表于 2025-3-21 19:33:56
书目名称Emotion Recognition using Speech Features影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0308628<br><br> <br><br>书目名称Emotion Recognition using Speech Features影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0308628<br><br> <br><br>书目名称Emotion Recognition using Speech Features网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0308628<br><br> <br><br>书目名称Emotion Recognition using Speech Features网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0308628<br><br> <br><br>书目名称Emotion Recognition using Speech Features被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0308628<br><br> <br><br>书目名称Emotion Recognition using Speech Features被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0308628<br><br> <br><br>书目名称Emotion Recognition using Speech Features年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0308628<br><br> <br><br>书目名称Emotion Recognition using Speech Features年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0308628<br><br> <br><br>书目名称Emotion Recognition using Speech Features读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0308628<br><br> <br><br>书目名称Emotion Recognition using Speech Features读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0308628<br><br> <br><br>
重力
发表于 2025-3-21 22:23:25
2191-737Xsystems and prosodic features in order to enhance the emotion recognition performance; • Proposed multi-stage and hybrid models for improving the emotion recognition performance. This brief is for researchers 978-1-4614-5142-6978-1-4614-5143-3Series ISSN 2191-737X Series E-ISSN 2191-7388
反叛者
发表于 2025-3-22 02:20:14
Henning F. Harmuth,Konstantin A. Lukinmotions from psychological and engineering view points. Influence of emotions on the characteristics of speech production system is briefly mentioned. Role of various features extracted from excitation source, vocal tract system and prosody, are discussed in the context of developing various speech
Apraxia
发表于 2025-3-22 04:33:24
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Hyperalgesia
发表于 2025-3-22 08:55:07
H. J. Goldschmidt D.Sc., F.Inst.P., F.I.M.urce information for emotion recognition is illustrated by demonstrating the speech files with source information alone. Details of extraction of proposed excitation source features ((i) Sequence of LP residual samples, (ii) LP residual phase, (iii) Epoch parameters and (iv) Glottal pulse parameters
锉屑
发表于 2025-3-22 14:17:36
Extracellular Matrix and Cardiac Remodelingpstral coefficients (LPCCs) and mel frequency cepstral coefficients (MFCCs) are used as the correlates of vocal tract information for discriminating the emotions. In addition to LPCCs and MFCCs, formant related features are also explored in this work for recognizing emotions from speech. Extraction
锉屑
发表于 2025-3-22 20:34:59
B. Stea,D. Shimm,J. Kittelson,T. Cetaseatures to recognize the emotions is illustrated using the gross statistics and time varying patterns of prosodic parameters. Global prosodic features representing the gross statistics of prosody and local prosodic features representing the finer variations in prosody are introduced in this chapter
抗体
发表于 2025-3-22 23:50:59
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羽毛长成
发表于 2025-3-23 02:55:34
Emotion Recognition using Speech Features978-1-4614-5143-3Series ISSN 2191-737X Series E-ISSN 2191-7388
花争吵
发表于 2025-3-23 08:26:56
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