Automatic transcription of Broadcast News
مقال من تأليف: Chen, S. S. ; Eide, E. ; Gales, M. J. F. ; Gopinath, R. A. ; Kanvesky, D. ; Olsen, P. ;
ملخص: This paper describes the IBM approach to Broadcast News (BN) transcription. Typical problems in the BN transcription task are segmentation, clustering, acoustic modeling, language modeling and acoustic model adaptation. This paper presents new algorithms for each of these focus problems. Some key ideas include Bayesian information criterion (BIC) (for segmentation
لغة:
إنجليزية