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7 Oct 2001: To illustrate the effectiveness of the above by extending the existing VMR demonstration system (produced within the VMR project GR/H87629) to support the interactive retrieval of broadcast news.. ... Using a fast recogniser we transcribed the 500 hours

1 Mar 2000: ABSTRACT. This paper describes the development of the CUHTK-Entropic 10xRT Broadcast News Transcription System. ... This involved transcribing 100 hours of broadcast news material and this was infeasible with such a computationally expensive system.

7 Oct 2001: This consisted of two parts. Firstly the automatic transcription of 100 hours of broadcast news data and secondly the retrieval of documents relevant to 23 natural language queries. ... Using a fast recogniser we transcribed the 500 hours of TREC-8

20 Feb 2018: The following recognition experiments were conducted onthe 1997 Broadcast News task [5] by rescoring tri-gram lat-tices. ... Different topologies of themodel were evaluated on the 1997 Broadcast News task andsome small improvements were obtained.

1 Mar 2000: This corpus will be referred to as BNtrain96. A further tranche of data of similar size was released in 1997 to form in total 72 hours of broadcast news training data. ... Gauvain J.L., Lamel L., Adda G.& Adda-Decker M. (1997). Transcription of

11 Jan 2008: end. Figure 4: Calculating Decision Tree Divergence. 5. ResultsExperiments were performed on a Broadcast News Arabic task.Each system was trained using 101.8 hours of data and a PLPfrontend. ... Results are given on three test sets: bnat05 (5.72

9 Dec 2006: Several methods can be employed to try to ascertain the true identity of the speakers within a particular Broadcast News show. ... The training data used for this task consisted of the Hub-4 1996/7 broadcast news training data.

2 Mar 2000: Significant progress in the accurate transcription of broadcast news data has been made over the last few years so that we are now at a point where such systems can be ... The 1997 system used N-gram language models trained on 132 million words of

7 Oct 2009: For large systems trained on hundreds of hours of data,this can be a significant cost. ... All thesetest sets consist of both Broadcast News and Broadcast Conversationstyles of data.

22 Nov 2006: This algorithm is described in detail in the next section,followed by preliminary results on a Broadcast News Mandarinsystem, before conclusions are drawn. ... 3. Experimental ResultsExperiments were performed on a Broadcast News Mandarin task.The

1 Mar 2000: This corpus will be referred to as BNtrain96. A further tranche of data of similar size was released in 1997 to form in total 72 hours of broadcast news training data. ... Gauvain J.L., Lamel L., Adda G.& Adda-Decker M. (1997). Transcription of

26 Mar 2008: A total of 942 hours of broad-cast news (BN) and broadcast conversation (BC) speech audio datawere used for acoustic model training. ... Three Mandarin ASR evaluation sets are used:. • bnmdev06: 14 shows, 3.4 hours of BN data broadcast be-tween

27 Jul 2020: The 500 hours of broadcast news audio was filtered using an automatic scheme for detecting commercials, and then transcribed using a 2-pass HTK speech recogniser which ran at 13 times ... The final system gave an Average Precision of 55.29% on our

27 May 2004: ABSTRACT. In this paper, we present our experiments on lightly superviseddiscriminative training with large amounts of broadcast news datafor which only closed caption transcriptions are available (TDTdata). ... Rich Tran-scription Workshop, 2003. [4] D.

27 Jul 2020: Woodland. March 1999. This paper describes the spoken document retrieval system that we have been developing and assesses its performance using automatic transcriptions of about 50 hours of broadcast news data. ... The recognition engine is based on the

10 Apr 2000: This corpus will be referred to as BN-train96. A further tranche of data of similar size was released in1997 to form in total 72 hours of broadcast news training ... 1997).Transcription of Broadcast News. Proc. Eurospeech’97, pp.907-910, Rhodes. [4]

8 Mar 2000: its performance using automatic transcriptions of about 50 hours of broadcast news data. ... For the 1998 TREC-7 SDR task about 100 hours of broadcast news had to be transcribed but the full 1997 Hub4 training set was available for HMM estimation.

8 Mar 2000: The1997 system used N-gram language models trained on 132million words of broadcast news texts, the LDC-distributed1995 newswire texts, and the transcriptions from BNtrain97(LMtrain97). ... Furthermore we pro-cessed additional transcriptions of broadcast

14 Aug 2000: The system is trained on about 150 hours of acoustic training data and 260 million words of broadcast news and newspaper transcriptions. ... The system gives a word error rate of 15.9% on the 1998 Hub4 broadcast news evaluation data.

11 Jan 2008: A total of 942 hours of broad-cast news (BN) and broadcast conversation (BC) speech audio datawere used for acoustic model training. ... Three Mandarin ASR evaluation sets are used:. • bnmdev06: 14 shows, 3.4 hours of BN data broadcast be-tween