Voice Recognition

SpeechBrain – conversational AI toolkit

SpeechBrain is an all-in-one conversational AI toolkit based on PyTorch.

The goal is to create a single, flexible, and user-friendly toolkit that can be used to easily develop state-of-the-art speech technologies, including systems for speech recognition, speaker recognition, speech enhancement, speech separation, language identification, multi-microphone signal processing, and many others.

SpeechBrain supports both CPU and GPU computations. For most recipes, however, a GPU is necessary during training. Please note that CUDA must be properly installed to use GPUs.

This is free and open source software.

SpeechBrain supports state-of-the-art methods for end-to-end speech recognition:

  • Support of wav2vec 2.0 pretrained model with finetuning.
  • State-of-the-art performance or comparable with other existing toolkits in several ASR benchmarks.
  • Easily customizable neural language models, including RNNLM and TransformerLM. The project shares several pre-trained models that you can easily use. The Hugging Face dataset is supported to facilitate the training over a large text dataset.
  • Hybrid CTC/Attention end-to-end ASR:
    • Many available encoders: CRDNN (VGG + {LSTM,GRU,LiGRU} + DNN), ResNet, SincNet, vanilla transformers, context net-based transformers or conformers. Thanks to the flexibility of SpeechBrain, any fully customized encoder could be connected to the CTC/attention decoder and trained in a few hours of work. The decoder is fully customizable: LSTM, GRU, LiGRU, transformer, or your neural network!
    • Optimised and fast beam search on both CPUs and GPUs.
  • Transducer end-to-end ASR with both a custom Numba loss and the torchaudio one. Any encoder or decoder can be plugged into the transducer ranging from VGG+RNN+DNN to conformers.
  • Pre-trained ASR models for transcribing an audio file or extracting features for a downstream task.

Website: speechbrain.github.io
Support: github.com/speechbrain/speechbrain
Developer: Mirco Ravanelli, Parcollet Titouan and contributor
License: Apache License 2.0

SpeechBrain is written in Python. Learn Python with our recommended free books and free tutorials.

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