GitHub / Nightey3s / Speech-Emotion-Recognition-using-Wav2Vec2
A Speech Emotion Recognition (SER) system using Facebook's Wav2Vec2 model that classifies speech into four emotions (Neutral, Happy, Sad, Angry). Achieves 69.02% accuracy on IEMOCAP dataset using modern transformer architecture and comprehensive data augmentation techniques.
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PURL: pkg:github/Nightey3s/Speech-Emotion-Recognition-using-Wav2Vec2
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Language: Jupyter Notebook
Size: 1.06 MB
Dependencies parsed at: Pending
Created at: 7 months ago
Updated at: 7 months ago
Pushed at: 7 months ago
Last synced at: 4 months ago
Topics: audio-processing, deep-learning, emotion-recognition, machine-learning, pytorch, speech-recognition, wav2vec2