This project explores emotion recognition in audio data, focusing on feature extraction techniques while also comparing the performance of LSTM and 1D CNN models.
python data-science machine-learning deep-neural-networks deep-learning tensorflow keras audio-analysis recurrent-neural-networks feature-extraction convolutional-neural-networks librosa emotion-detection multiclass-classification mel-spectrogram mel-frequency-cepstral-coefficients chroma-features long-short-term-memory-network 1d-convolutional-neural-network
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Updated
Oct 31, 2024 - Jupyter Notebook