Attention guided 3D CNN-LSTM model for accurate speech based emotion recognition

Orhan Atıla; Abdulkadir Şengür

doi:10.1016/j.apacoust.2021.108260

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Attention guided 3D CNN-LSTM model for accurate speech based emotion recognition

Orhan Atıla Abdulkadir Şengür

Year: 2021 Journal: Applied Acoustics Vol: 182 Pages: 108260-108260 Publisher: Elsevier BV

DOI: 10.1016/j.apacoust.2021.108260

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Keywords:

Computer science Speech recognition Convolutional neural network Artificial intelligence Pooling Normalization (sociology) Pattern recognition (psychology) Cepstrum Mel-frequency cepstrum Dropout (neural networks) Spectrogram Convolution (computer science) Feature extraction Artificial neural network Machine learning

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Topics

Emotion and Mood Recognition

Social Sciences → Psychology → Experimental and Cognitive Psychology

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Attention guided 3D CNN-LSTM model for accurate speech based emotion recognition

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Citation History

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