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Feng, S. (author), Żelasko, Piotr (author), Moro-Velázquez, Laureano (author), Abavisani, Ali (author), Hasegawa-Johnson, Mark (author), Scharenborg, O.E. (author), Dehak, Najim (author)
The idea of combining multiple languages’ recordings to train a single automatic speech recognition (ASR) model brings the promise of the emergence of universal speech representation. Recently, a Transformer encoder-decoder model has been shown to leverage multilingual data well in IPA transcriptions of languages presented during training....
conference paper 2021