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Titlebook: Acoustic Modeling for Emotion Recognition; Koteswara Rao Anne,Swarna Kuchibhotla,Hima Deepthi Book 2015 The Author(s) - SpringerBriefs 201

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发表于 2025-3-21 16:46:53 | 显示全部楼层 |阅读模式
期刊全称Acoustic Modeling for Emotion Recognition
影响因子2023Koteswara Rao Anne,Swarna Kuchibhotla,Hima Deepthi
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发行地址Provides comprehensive research and application on classification of emotions through speech.Features extensive comparative study of classifiers, presenting results in different databases.Compares fea
学科分类SpringerBriefs in Speech Technology
图书封面Titlebook: Acoustic Modeling for Emotion Recognition;  Koteswara Rao Anne,Swarna Kuchibhotla,Hima Deepthi Book 2015 The Author(s) - SpringerBriefs 201
影响因子This book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications – gradually more advance information is provided, giving readers comprehensive guidance for classify emotions through speech. Simulated databases are used and results extensively compared, with the features and the algorithms implemented using MATLAB. Various emotion recognition models like Linear Discriminant Analysis (LDA), Regularized Discriminant Analysis (RDA), Support Vector Machines (SVM) and K-Nearest neighbor (KNN) and are explored in detail using prosody and spectral features, and feature fusion techniques. .
Pindex Book 2015
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Audi Alteram Partem in Criminal Proceedingsan physiological characteristics (such as fingerprints, speech, eye retinas and irises, facial patterns, DNA and hand measurements [76] etc) and behavioral characteristics (such as speaker, signature and keystroke etc).
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https://doi.org/10.1007/978-3-319-54573-8ones. Natural emotions are some what difficult to record because collection of wide range of emotions naturally is difficult. Some of the instances of naturalistic emotions are collected from call center conversations, cockpit recordings during unnatural conditions, patient doctor conversations and so on.
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2191-737X iers, presenting results in different databases.Compares feaThis book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications – gradually more advance information is provided, giving readers comprehensive guidance for classify em
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Book 2015ore advance information is provided, giving readers comprehensive guidance for classify emotions through speech. Simulated databases are used and results extensively compared, with the features and the algorithms implemented using MATLAB. Various emotion recognition models like Linear Discriminant A
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Back Matternd advanced suturing techniques. The following chapters describe the surgical technique of urological procedures, including an introduction to the subject and ending with a reading list. .978-3-642-09419-4978-3-540-74727-7
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Introduction,t are more appropriate as per the building designs or adopts the concept of a new and better-designed building; Temporary conversion of spaces in the hospital to treatment units, emergency suits, ICUs and isolation units to handle the patient surge and Modification and adoption of improved working s
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