JHU Kaldi system for Arabic MGB-3 ASR challenge using diarization, audio-transcript alignment and transfer learning
In: IEEE Automatic Speech Recognition and Understanding Workshop (ASRU); (2017-12-01) S. 346-352
Konferenz
Zugriff:
Titel: |
JHU Kaldi system for Arabic MGB-3 ASR challenge using diarization, audio-transcript alignment and transfer learning
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Autor/in / Beteiligte Person: | Manohar, Vimal ; Povey, Daniel ; Khudanpur, Sanjeev |
Quelle: | IEEE Automatic Speech Recognition and Understanding Workshop (ASRU); (2017-12-01) S. 346-352 |
Veröffentlichung: | 2017 |
Medientyp: | Konferenz |
ISBN: | 978-1-5090-4788-8 (print) ; 978-1-5090-4787-1 (print) |
DOI: | 10.1109/ASRU.2017.8268956 |
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