SpeechBrain: A General-Purpose Speech Toolkit
원문 초록
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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Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding
Speech-MASSIVE: A Multilingual Speech Dataset for SLU and Beyond
MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark
"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding
CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training
"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understanding
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