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