Advances in automatic transcription of Italian broadcast news
Fabio Brugnara, Mauro Cettolo, Marcello Federico, Diego Giuliani · 2000
This paper presents some recent improvements in automatic transcription of Italian broadcast news obtained at ITCirst. A first preliminary activity was carried out in order to develop a suitable speech corpus for the Italian language. The resulting corpus, formed by recordings covering 30 hours of radio news, was exploited for developing a baseline system for transcription of broadcast news. The system performs in different stages: acoustic segmentation and classification, speaker clustering, acoustic model adaptation and speech decoding. Major recent advances allowing performance improvement concern with speech segmentation and clustering, acoustic modeling, acoustic model adaptation and the language model.