Searched for: subject%3A%22Speech%255C+recognition%22
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document
Żelasko, Piotr (author), Feng, S. (author), Moro Velázquez, Laureano (author), Abavisani, Ali (author), Bhati, Saurabhchand (author), Scharenborg, O.E. (author), Hasegawa-Johnson, Mark (author), Dehak, Najim (author)
The high cost of data acquisition makes Automatic Speech Recognition (ASR) model training problematic for most existing languages, including languages that do not even have a written script, or for which the phone inventories remain unknown. Past works explored multilingual training, transfer learning, as well as zero-shot learning in order...
journal article 2022
document
Żelasko, Piotr (author), Moro-Velázquez, Laureano (author), Hasegawa-Johnson, Mark (author), Scharenborg, O.E. (author), Dehak, Najim (author)
Only a handful of the world’s languages are abundant with the resources that enable practical applications of speech processing technologies. One of the methods to overcome this problem is to use the resources existing in other languages to train a multilingual automatic speech recognition (ASR) model, which, intuitively, should learn some...
conference paper 2020