Deep Convolutional Neural Networks for Feature Extraction in Speech Emotion Recognition

Panikos Heracleous; Yasser Mohammad; Akio Yoneyama

doi:10.1007/978-3-030-22643-5_9

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Deep Convolutional Neural Networks for Feature Extraction in Speech Emotion Recognition

Panikos Heracleous Yasser Mohammad Akio Yoneyama

Year: 2019 Lecture notes in computer science Pages: 117-132 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-22643-5_9

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Keywords:

Computer science Speech recognition Convolutional neural network Artificial intelligence Emotion recognition Feature extraction Classifier (UML) Support vector machine Deep learning Natural language processing Pattern recognition (psychology)

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3.45

FWCI (Field Weighted Citation Impact)

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0.93

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Is in top 10%

Citation History

Topics

Emotion and Mood Recognition

Social Sciences → Psychology → Experimental and Cognitive Psychology

Speech Recognition and Synthesis

Physical Sciences → Computer Science → Artificial Intelligence

Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Deep Convolutional Neural Networks for Feature Extraction in Speech Emotion Recognition

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Citation History

Topics

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