Very fast, accurate speaker diarization
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Updated
Feb 7, 2026 - Python
Very fast, accurate speaker diarization
Kaldi-compatible online & offline feature extraction with PyTorch, supporting CUDA, batch processing, chunk processing, and autograd - Provide C++ & Python API
Kaldi-compatible online fbank extractor without external dependencies
Machine learning project detecting speed and tempo alterations in speech recordings using FBANK features and classical classifiers (kNN, SVM, Random Forest) implemented in Python with Scikit-learn.
MFCC/Fbank/LPC/LPCC/PowerSpec
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