Showing 1-5 of 5 projects
A multilingual voice understanding model for AI-powered audio analysis and transcription.
A neural network model for detecting different emotions from audio speeches using Python and deep learning.
A collection of open-source speech corpora for building speech recognition, synthesis, and other audio applications.
A speech emotion recognition library implemented in Keras with support for CNN, LSTM, SVM, and MLP models.
Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation.
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