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ser-fast-cnn-bilstm – AI Model by MathRaaj | AlphaNeural AI
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MathRaaj
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ser-fast-cnn-bilstm
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pytorch
cnn-bilstm-attention
audio
speech-emotion-recognition
cnn-bilstm
en
ravdess
tess
us
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Speech Emotion Recognition (CNN-BiLSTM-Attention)
This model was trained from scratch on the RAVDESS and TESS datasets.
Model Architecture
Front-end
: 4-block CNN for feature extraction from Mel Spectrograms.
Mid-section
: Bidirectional LSTM for temporal dependencies.
Pooling
: Multi-head Attention pooling.
Back-end
: Fully connected classifier.
Classes
0: neutral, 1: calm, 2: happy, 3: sad, 4: angry, 5: fearful, 6: disgust