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Automatic Spoken Language Identification using a Time-Delay Neural Network. (arXiv:2205.09564v1 [cs.CL])
May 20, 2022, 1:12 a.m. | Benjamin Kepecs, Homayoon Beigi
cs.LG updates on arXiv.org arxiv.org
Closed-set spoken language identification is the task of recognizing the
language being spoken in a recorded audio clip from a set of known languages.
In this study, a language identification system was built and trained to
distinguish between Arabic, Spanish, French, and Turkish based on nothing more
than recorded speech. A pre-existing multilingual dataset was used to train a
series of acoustic models based on the Tedlium TDNN model to perform automatic
speech recognition. The system was provided with a …
More from arxiv.org / cs.LG updates on arXiv.org
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