The core architecture of SpeechBrain is described, designed to support several tasks of common interest, allowing users to naturally conceive, compare and share novel speech processing pipelines.
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.
Jianyuan Zhong
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Cem Subakan
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Szu-Wei Fu
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Loren Lugosch
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A. Heba
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Titouan Parcollet
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Ju-Chieh Chou
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Peter William VanHarn Plantinga
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Aku Rouhe
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Nauman Dawalatabad
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Sung-Lin Yeh
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Chien-Feng Liao
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Elena Rastorgueva
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Franccois Grondin
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William Aris
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Hwidong Na
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Yan Gao
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R. Mori
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