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SpeechBrain: A General-Purpose Speech Toolkit
论文
论文
发布时间2021-06-08
发表arXiv:2106.04624
作者:Titouan Parcollet,Mirco Ravanelli,Renato de Mori,Yoshua Bengio,Ju-chieh Chou,Peter Plantinga,Szu-Wei Fu,Aku Rouhe,Loren Lugosch,Chien-Feng Liao,Cem Subakan,Samuele Cornell,Jianyuan Zhong,Yan Gao,Abdelwahab Heba,Nauman Dawalatabad,François Grondin,Hwidong Na,Sung-Lin Yeh,Elena Rastorgueva,William Aris
详细介绍
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.
代码仓库 (4)
speechbrain/speechbrain官方PyTorch
guxm2021/alt_speechbrain官方PyTorch
guxm2021/MM_ALTPyTorch
guxm2021/svt_speechbrainPyTorch
