Add to ORKGThis paper presents the first achievements in the development of a broadcast news transcription system to be applied for the processing of huge audio archives. In paricular, the Italian broadcast news corpus under collection is introduced, and the first implemented baseline system is outlined. The baseline system consists of an audio segmentation module and a speech recognizer featuring a recursive Viterbi beam search, a 64K-word lexicon, a tree-based trigram LM representation, and MLLR adaptation. The word error rate of the baseline was 20.9% on planned studio speech and 28.8% on the whole test se
This paper describes the IBM approach to Broadcast News Transcription. Typical problems in the Broa...
In this paper we describe design, setup and results of the speech recognition task in the framework ...
This paper describes and discusses the recognition results obtained using the automatic transcri...
This paper presents some recent improvements in automatic transcription of Italian broadcast news ob...
This paper presents a prototype for the retrieval of Italian broadcast news, which has been develope...
This paper reports on the development and evaluation of an Italian broadcast news corpus at ITC-irst...
Speaker tracking is the process of following who says something in an audio stream. In the case the ...
This paper reports on experiments of porting the ITC-irst Italian broadcast news recognition system ...
This work presents first results in segmenting and classifying an Italian audio broadcast news corpu...
One rapidly expanding application area for state-of-the-art speech recognition technology is the au...
This paper describes the development of a multilingual and multigenre manually annotated speech data...
This paper investigates the problem of updating over time the statistical language model (LM) of an ...
This paper describes features and outcomes of the Named Entity Recognition on Transcribed Broadcast ...
This work reports on preliminary activity at ITC-irst on the problem of acoustic segmentation, class...
This paper reports on experiments of porting the ITC-irst Italian broadcast news recognition system ...
This paper describes the IBM approach to Broadcast News Transcription. Typical problems in the Broa...
In this paper we describe design, setup and results of the speech recognition task in the framework ...
This paper describes and discusses the recognition results obtained using the automatic transcri...
This paper presents some recent improvements in automatic transcription of Italian broadcast news ob...
This paper presents a prototype for the retrieval of Italian broadcast news, which has been develope...
This paper reports on the development and evaluation of an Italian broadcast news corpus at ITC-irst...
Speaker tracking is the process of following who says something in an audio stream. In the case the ...
This paper reports on experiments of porting the ITC-irst Italian broadcast news recognition system ...
This work presents first results in segmenting and classifying an Italian audio broadcast news corpu...
One rapidly expanding application area for state-of-the-art speech recognition technology is the au...
This paper describes the development of a multilingual and multigenre manually annotated speech data...
This paper investigates the problem of updating over time the statistical language model (LM) of an ...
This paper describes features and outcomes of the Named Entity Recognition on Transcribed Broadcast ...
This work reports on preliminary activity at ITC-irst on the problem of acoustic segmentation, class...
This paper reports on experiments of porting the ITC-irst Italian broadcast news recognition system ...
This paper describes the IBM approach to Broadcast News Transcription. Typical problems in the Broa...
In this paper we describe design, setup and results of the speech recognition task in the framework ...
This paper describes and discusses the recognition results obtained using the automatic transcri...