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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.
A Flow-based Generative Network for Speech Synthesis
OpenNMT-py is a PyTorch neural machine translation framework used for training and deploying neural machine translation and large language models. It functions as a distributed model training system, an inference engine, and a toolkit for fine-tuning large language models. The framework distinguishes itself with a dedicated toolkit for adapting large language models through low-rank adaptation, quantization, and instruction tuning. It also includes a neural machine translation server that allows trained models to be hosted and exposed via REST API endpoints. The project covers a broad range
Speech Recognition using DeepSpeech2.
The main features of mobvoi/wenet are: Speech Generation and Recognition.
Projects with overlapping indexed features include: mravanelli/pytorch-kaldi — pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is… nvidia/waveglow — A Flow-based Generative Network for Speech Synthesis. opennmt/opennmt-py — OpenNMT-py is a PyTorch neural machine translation framework used for training and deploying neural machine… seannaren/deepspeech.pytorch — Speech Recognition using DeepSpeech2.