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speechbrain/CITATION.cff at develop · jsess79/speechbrain · GitHub
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jsess79
speechbrain
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#
This CITATION.cff file was generated with cffinit.
#
Visit https://bit.ly/cffinit to generate yours today!
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
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