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This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
The main features of mravanelli/pytorch-kaldi are: Natural Language Processing, Speech and Audio, Speech and Audio Processing, Speech Generation and Recognition.
Projects with overlapping indexed features include: mindslab-ai/voicefilter — Unofficial PyTorch implementation of Google AI's VoiceFilter system. freewym/espresso. awni/speech. google/uis-rnn — This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to… facebookresearch/loop. mozilla/tts — This project is a comprehensive suite for neural speech synthesis, featuring a deep learning text-to-speech engine, a…