fairseq S2T: Fast Speech-to-Text Modeling with fairseq
Work
Year: 2020
Type: preprint
Abstract: We introduce fairseq S2T, a fairseq extension for speech-to-text (S2T) modeling tasks such as end-to-end speech recognition and speech-to-text translation. It follows fairseq's careful design for scal... more
Source: arXiv (Cornell University)
Cites: 42
Cited by: 95
Related to: 10
Citation percentile (by year/subfield): 94.69
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Quality education
Open Access status: green