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Více informací o knize Implementation of speech Emotion Recognition SVM kernel using MATLAB

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Anotace knihy

Speech emotion recognition is a very important speech technology. an extensive research is made by using different speech information and signal for human emotion recognition. We develop a speech-based emotion classification method using SVM by using standard EMA database. In order to achieve a high emotion classification accuracy we have used SVM with kernel functions, From result obtained by using different kernels functions . From result we conclude that RBF Kernel function in which we got 94.96%, 96.02%, 98.96%, 98.76% accuracy results for Angry, Happy, Neutral, Sad emotions respectively using energy, formant and MFCC features. Our result shows that classification accuracy will be improve using kernel functions.

Parametry knihy

• Plný název: Implementation of speech Emotion Recognition SVM kernel using MATLAB
• Autor: R. D. Shah, Anilkumar Suthar
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 72
• EAN: 9783659932991
• ID: 14211136
• Nakladatelství: LAP Lambert Academic Publishing
• Hmotnost: 124 g
• Rozměry: 220 × 150 × 4 mm
• Rok vydání: 2016

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