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Spoken language identification (LID) technologies have improved in recent years from discriminating largely distinct languages to discriminating highly similar languages or even dialects of the same language. One aspect that has been mostly neglected
Externí odkaz:
http://arxiv.org/abs/2001.11019
Autor:
Titus, Andrew Richard
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and
Externí odkaz:
http://hdl.handle.net/1721.1/119706
Autor:
Bhatele, Abhinav, Titus, Andrew R., Thiagarajan, Jayaraman J., Jain, Nikhil, Gamblin, Todd, Bremer, Peer-Timo, Schulz, Martin, Kale, Laxmikant V.
Publikováno v:
2015 IEEE International Parallel & Distributed Processing Symposium; 2015, p113-122, 10p
Autor:
Titus, Andrew
Publikováno v:
Fiddlehead; Spring2006, Issue 227, p65-65, 1p