標(biāo)題: Titlebook: Emotion Recognition using Speech Features; K. Sreenivasa Rao,Shashidhar G. Koolagudi Book 2013 Springer Science+Business Media New York 20 [打印本頁(yè)] 作者: 連結(jié) 時(shí)間: 2025-3-21 19:33
書(shū)目名稱(chēng)Emotion Recognition using Speech Features影響因子(影響力)
書(shū)目名稱(chēng)Emotion Recognition using Speech Features影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Emotion Recognition using Speech Features網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Emotion Recognition using Speech Features網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Emotion Recognition using Speech Features被引頻次
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書(shū)目名稱(chēng)Emotion Recognition using Speech Features讀者反饋
書(shū)目名稱(chēng)Emotion Recognition using Speech Features讀者反饋學(xué)科排名
作者: 重力 時(shí)間: 2025-3-21 22:23
2191-737X systems 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 作者: 反叛者 時(shí)間: 2025-3-22 02:20
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 作者: Apraxia 時(shí)間: 2025-3-22 04:33 作者: Hyperalgesia 時(shí)間: 2025-3-22 08:55
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作者: 銼屑 時(shí)間: 2025-3-22 14:17
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 作者: 銼屑 時(shí)間: 2025-3-22 20:34
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 作者: 抗體 時(shí)間: 2025-3-22 23:50 作者: 羽毛長(zhǎng)成 時(shí)間: 2025-3-23 02:55
Emotion Recognition using Speech Features978-1-4614-5143-3Series ISSN 2191-737X Series E-ISSN 2191-7388 作者: 花爭(zhēng)吵 時(shí)間: 2025-3-23 08:26 作者: 異端 時(shí)間: 2025-3-23 10:39
K. Sreenivasa Rao,Shashidhar G. KoolagudiDiscusses complete state-of -art features, models and databases in the context of emotion recognition.Explores implicit and explicit excitation source features for discriminating the emotions.Proposes作者: 地殼 時(shí)間: 2025-3-23 16:02
SpringerBriefs in Speech Technologyhttp://image.papertrans.cn/e/image/308628.jpg作者: scotoma 時(shí)間: 2025-3-23 21:56 作者: FOIL 時(shí)間: 2025-3-24 00:30
Summary and Conclusions,This chapter summarizes the research work presented in this book, highlights the contributions of the work and discusses the scope for future work.作者: 輕浮女 時(shí)間: 2025-3-24 06:14 作者: 虛構(gòu)的東西 時(shí)間: 2025-3-24 07:08
Book 2013s for capturing emotion-specific information for distinguishing different emotions.? The content of this book is important for designing and developing? natural and sophisticated speech systems. In this Brief, Drs. Rao and Koolagudi lead a discussion of how emotion-specific information is embedded i作者: Conquest 時(shí)間: 2025-3-24 12:18
H. J. Goldschmidt D.Sc., F.Inst.P., F.I.M.) are given. Two emotional speech databases are introduced to validate the proposed excitation source features. Functionality of classification models such as auto-associative neural networks and support vector machines is briefly explained. Finally, recognition performance using the proposed excitation source features is analyzed in detail.作者: 文件夾 時(shí)間: 2025-3-24 15:48
Emotion Recognition Using Excitation Source Information,) are given. Two emotional speech databases are introduced to validate the proposed excitation source features. Functionality of classification models such as auto-associative neural networks and support vector machines is briefly explained. Finally, recognition performance using the proposed excitation source features is analyzed in detail.作者: vibrant 時(shí)間: 2025-3-24 21:28
2191-737X ion source features for discriminating the emotions.Proposes“Emotion Recognition Using Speech Features” provides coverage of emotion-specific features present in speech. The author also discusses suitable models for capturing emotion-specific information for distinguishing different emotions.? The c作者: 信任 時(shí)間: 2025-3-25 02:48
Diffus verteiltes interstellares Gas,cognition systems developed using excitation source, vocal tract system and prosodic features is briefly presented. Basic pattern classification models used for discriminating the emotions are discussed in brief. Finally, the chapter concludes with motivation and scope of the work presented in this book.作者: 卷發(fā) 時(shí)間: 2025-3-25 05:52
Extracellular Matrix and Cardiac Remodelingfferent vocal tract features are compared over Indian and Berlin emotional speech databases. Performance of neural networks and Gaussian mixture models in classifying the emotional utterances based on vocal tract features is also evaluated.作者: 憤慨一下 時(shí)間: 2025-3-25 09:45
Emotion Recognition Using Vocal Tract Information,fferent vocal tract features are compared over Indian and Berlin emotional speech databases. Performance of neural networks and Gaussian mixture models in classifying the emotional utterances based on vocal tract features is also evaluated.作者: SIT 時(shí)間: 2025-3-25 13:40 作者: 可用 時(shí)間: 2025-3-25 19:19
B. Stea,D. Shimm,J. Kittelson,T. Cetasines are used for capturing the emotion-specific information from the proposed global and local prosodic features. Performance of the developed emotion recognition systems are analyzed with respect to individual components of prosody and their combinations.作者: 加入 時(shí)間: 2025-3-25 20:27 作者: Stable-Angina 時(shí)間: 2025-3-26 00:28 作者: MIR 時(shí)間: 2025-3-26 07:15 作者: 執(zhí)拗 時(shí)間: 2025-3-26 11:27
Speech Emotion Recognition: A Review, of emotional databases such as simulated, elicited and natural are critically reviewed from the research point of view. Review of existing emotion recognition systems developed using excitation source, vocal tract system and prosodic features is briefly presented. Basic pattern classification model作者: CHYME 時(shí)間: 2025-3-26 14:57 作者: 六邊形 時(shí)間: 2025-3-26 19:34
Emotion Recognition Using Vocal Tract Information,pstral 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 作者: expound 時(shí)間: 2025-3-26 21:01 作者: 終端 時(shí)間: 2025-3-27 03:21 作者: hair-bulb 時(shí)間: 2025-3-27 09:02
Revival of MAS Technologies in Industry,MAS Platform - Cluster 4.0 Integration Platform is introduced. It utilizes (1) semantics to explicitly describe products, production, and resources for their easier integration and exploitation and (2) OPC-UA to connect software agents to physical machines.作者: Substance-Abuse 時(shí)間: 2025-3-27 10:28 作者: inhibit 時(shí)間: 2025-3-27 17:41
d the name “Conradi.”. And so, the manuscript of the commentary on the . clearly attributed this work to Conrad of Prussia . the attempted erasure. But is it necessary that the . in the colophon of the other work be an erasure of the name “Conradi,” as Grabmann supposes?作者: LINES 時(shí)間: 2025-3-27 21:28
Mesut Yavuzratory in nature. It elaborates and extends existing theory. By doing so, it takes up a distinct position within scientific theory that is defined by three levels of analysis: (1) the meta-methodological level, (2) the methodological level, and (3) the theoretical level.978-3-8349-3553-3978-3-8349-3554-0作者: 脆弱吧 時(shí)間: 2025-3-27 23:37 作者: entitle 時(shí)間: 2025-3-28 03:32 作者: 整頓 時(shí)間: 2025-3-28 09:47
Kaufen, um die Welt zu retten: Wie Verbraucherinnen und Verbraucher globale Probleme l?sen wollensich mehrere Ph?nomene der Entgrenzung des Konsums. Wieso sich Konsumenten und Konsumentinnen zugunsten bestimmter Produkte entscheiden, welche Einflüsse politischer Konsum auf Unternehmen und Institutionen hat und wie er als Antwort auf eine globale Krise verstanden werden kann, sind zentrale Frage
