A TOOLKIT FOR SPEECH RECOGNITION RESEARCH
Přednášející: Dan Povey, Autoři: Dan Povey
This talk introduces the Kaldi speech recognition toolkit: a new speech recognition toolkit written in C++ that uses FSTs for training and testing. It uses the OpenFst library and links against BLAS and LAPACK for linear algebra support. The aim is to create a clean, flexible and well-structured toolkit for speech recognition researchers.
Informace o přednášce
Nahráno: | 2011-05-27 13:00 - 14:00, Room 3.3 |
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Přidáno: | 23. 6. 2011 01:36 |
Počet zhlédnutí: | 246 |
Rozlišení videa: | 1024x576 px, 512x288 px |
Délka videa: | 0:54:23 |
Audio stopa: | MP3 [18.57 MB], 0:54:23 |
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