SpeechBrain: A General-Purpose Speech Toolkit

Mirco Ravanelli, Titouan Parcollet, Peter Plantinga, Aku Rouhe, Samuele Cornell +16 more
6/8/2021
eess.AScs.AIcs.LG

Official code: speechbrain/speechbrain (11,801 stars, Apache-2.0, PyTorch, last commit 2026-05-03).

Abstract

SpeechBrain is an open-source and all-in-one speech toolkit. It is designed to facilitate the research and development of neural speech processing technologies by being simple, flexible, user-friendly, and well-documented. This paper describes the core architecture designed to support several tasks of common interest, allowing users to naturally conceive, compare and share novel speech processing pipelines. SpeechBrain achieves competitive or state-of-the-art performance in a wide range of speech benchmarks. It also provides training recipes, pretrained models, and inference scripts for popular speech datasets, as well as tutorials which allow anyone with basic Python proficiency to familiarize themselves with speech technologies.

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Code Implementations(1)

speechbrain/speechbrainOfficial100%
PyTorchApache-2.0

A PyTorch-based Speech Toolkit

11,8011,721Perl, ShellApr 28, 20205 months agoApache-2.0
asraudioaudio-processingdeep-learninghuggingface+15 more

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Cite this paper

@article{ravanelli2021speechbrain,
  title  = {SpeechBrain: A General-Purpose Speech Toolkit},
  author = {Mirco Ravanelli and Titouan Parcollet and Peter Plantinga and Aku Rouhe and Samuele Cornell and Loren Lugosch and Cem Subakan and Nauman Dawalatabad and Abdelwahab Heba and Jianyuan Zhong and Ju-Chieh Chou and Sung-Lin Yeh and Szu-Wei Fu and Chien-Feng Liao and Elena Rastorgueva and François Grondin and William Aris and Hwidong Na and Yan Gao and Renato De Mori and Yoshua Bengio},
  year   = {2021},
  eprint = {2106.04624},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/2106.04624}
}

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