CITATION.cff

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cff-version: 1.2.0
title: SpeechBrain
message: A PyTorch-based Speech Toolkit
type: software
authors:
  - given-names: Mirco
    family-names: Ravanelli
    affiliation: 'Mila - Quebec AI Institute, Université de Montréal'
  - given-names: Titouan
    family-names: Parcollet
    affiliation: >-
      LIA - Avignon Université, CaMLSys - University of
      Cambridge
  - given-names: Peter
    family-names: Plantinga
    affiliation: Ohio State University
  - given-names: Aku
    family-names: Rouhe
    affiliation: Aalto University
  - given-names: Samuele
    family-names: Cornell
    affiliation: Università Politecnica delle Marche
  - given-names: Loren
    family-names: Lugosch
    affiliation: 'Mila - Quebec AI Institute, McGill University'
  - given-names: Cem
    family-names: Subakan
    affiliation: Mila - Quebec AI Institute
  - given-names: Nauman
    family-names: Dawalatabad
    affiliation: Indian Institute of Technology Madras
  - given-names: Abdelwahab
    family-names: Heba
    affiliation: IRIT - Université Paul Sabatier
  - given-names: Jianyuan
    family-names: Zhong
    affiliation: Mila - Quebec AI Institute
  - given-names: Ju-Chieh
    family-names: Chou
    affiliation: Toyota Technological Institute at Chicago
  - given-names: Sung-Lin
    family-names: Yeh
    affiliation: University of Edinburgh
  - given-names: Szu-Wei
    family-names: Fu
    affiliation: 'Academia Sinica, Taiwan'
  - given-names: Chien-Feng
    family-names: Liao
    affiliation: 'Academia Sinica, Taiwan'
  - given-names: Elena
    family-names: Rastorgueva
    affiliation: NVIDIA
  - given-names: François
    family-names: Grondin
    affiliation: Université de Sherbrooke
  - given-names: William
    family-names: Aris
    affiliation: Université de Sherbrooke
  - given-names: Hwidong
    family-names: Na
    affiliation: Samsung-SAIT
  - given-names: Yan
    family-names: Gao
    affiliation: CaMLSys - University of Cambridge
  - given-names: Renato
    name-particle: De
    family-names: Mori
    affiliation: 'LIA - Avignon Université, McGill University'
  - given-names: Yoshua
    family-names: Bengio
    affiliation: 'Mila - Quebec AI Institute, Université de Montréal'
identifiers:
  - type: doi
    value: 10.48550/arXiv.2106.04624
    description: 'SpeechBrain: A General-Purpose Speech Toolkit'
repository-code: 'https://github.com/speechbrain/speechbrain/'
url: 'https://speechbrain.github.io/'
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.
keywords:
  - speech toolkit
  - audio
  - deep learning
  - PyTorch
  - transformers
  - voice recognition
  - speech recognition
  - speech-to-text
  - language model
  - speaker recognition
  - speaker verification
  - speech processing
  - audio processing
  - ASR
  - speaker diarization
  - speech separation
  - speech enhancement
  - spoken language understanding
  - HuggingFace
license: Apache-2.0