CoVoST 2 and Massively Multilingual Speech-to-Text Translation
원문 초록
Speech translation has recently become an increasingly popular topic of research, partly due to the development of benchmark datasets. Nevertheless, current datasets cover a limited number of languages. With the aim to foster research in massive multilingual speech translation and speech translation for low resource language pairs, we release CoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. This represents the largest open dataset available to date from total volume and language coverage perspective. Data sanity checks provide evidence about the quality of the data, which is released under CC0 license. We also provide extensive speech recognition, bilingual and multilingual machine translation and speech translation baselines with open-source implementation.
함께 살펴볼 논문
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TASK AWARE MULTI-TASK LEARNING FOR SPEECH TO TEXT TASKS
BeaverTalk: Oregon State University's IWSLT 2025 Simultaneous Speech Translation System
End-to-End Speech Translation for Low-Resource Languages Using Weakly Labeled Data
S2ST-Omni: An Efficient and Scalable Multilingual Speech-to-Speech Translation Framework via Seamless Speech-Text Alignment and Streaming Speech Generation
Improving Language and Modality Transfer in Translation by Character-level Modeling
Speech-to-Text Translation with Phoneme-Augmented CoT: Enhancing Cross-Lingual Transfer in Low-Resource Scenarios
토론
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