Search

27 Jul 2020: Abstract for woodland_darpa98. Proc. 1998 DARPA Broadcast News Transcription and Understanding Workshop. ... The complete system yields an overall word error rate of 22.0% on the 1996 unpartitioned broadcast news development test data and just 15.8% on

7 Oct 2001: The final HTK system yielded an overall word error rate of 22.0% on the 1996 unpartitioned broadcast news development test data and just 16.2% on the evaluation test set - ... the lowest overall word error rate in the 1997 DARPA broadcast news evaluation,

27 Jul 2020: Moreover, using broadcast news language model alone trained on large data under-performs a model that includes additional small amount of broadcast conversations by 1.8% absolute character error rate. ... In addition, it was found that it is possible to

7 Oct 2001: The final HTK system designed from the results of these experiments yielded an overall word error rate of 22.0% on the 1996 unpartitioned broadcast news development test data and just ... This consisted of two parts. Firstly the automatic transcription

27 Jul 2020: CLUSTER VOTING FOR SPEAKER DIARISATION. S. E. Tranter. May 2004. It is often important to be able to automatically detect 'who spoke when' in audio data. ... The speaker diarisation task attempts to address this problem on Broadcast News data by defining

27 Jul 2020: Results are presented on the 6-show RT-03 Broadcast News evaluation data, showing the DER can be reduced by 1.64% and 2.56% absolute using this method when combining

27 Jul 2020: Abstract for chan_icassp2004. Proc. ICASSP 2004. IMPROVING BROADCAST NEWS TRANSCRIPTION BY LIGHTLY SUPERVISED DISCRIMINATIVE TRAINING. ... H.Y. Chan and P.C. Woodland. May 2004. In this paper, we present our experiments on lightly supervised

24 Jul 2003: Woodland et al.: English CTS Systems. Automatic Segmentation. • Need to automatically segment the input data this year. • ... 2003 language models. • Training data in 5 portions:– Revised MSU transcripts CHE [3MW]– broadcast news setup (BN

27 Jul 2020: Abstract for woodland_darpa99. Proc DARPA Broadcast News Workshop, March 1999 (Herndon, VA). ... interpolated word level language models to combine text sources; increased broadcast news language model training data; and an extra adaptation stage using a

27 Jul 2020: Abstract for woodland_icassp98. Proc ICASSP'98, Seattle. EXPERIMENTS IN BROADCAST NEWS TRANSCRIPTION. ... Young. May 1998. This paper presents the recent development of the HTK broadcast news transcription system.

27 Jul 2020: THE DEVELOPMENT OF THE 1996 HTK BROADCAST NEWS TRANSCRIPTION SYSTEM. P.C. ... Woodland, M.J.F. Gales, D. Pye & S.J. Young. April 1997. This paper describes our efforts in extending a large vocabulary speech recognition system to handle broadcast news

1 Mar 2000: That system was constructed using HMMs trained on the Wall Street Journal (WSJ) corpus as a base and then adapted to individual data types of broadcast news data using supervised maximum ... Siegler M.A., Jain U., Raj B. & Stern R.M. (1997).

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 soft-clustering technique developed at JHU [9] had shown worthwhile reductions

1 Mar 2000: We have found that using the full system with adaptation results in a 20-25% decrease in word error rate on broadcast news data. ... Siegler M.A., Jain U., Raj B. & Stern R.M. (1997). Automatic Segmentation, Classification and Clustering of Broadcast

14 Aug 2000: This system gives a word error rate of 15.9% on the 1998 Hub4 broadcast news evaluation data. ... J. J. Odell, P. C. Woodland, and T. Hain. The CUHTK-Entropic 10xRT Broadcast News Transcription System.

5 Oct 2000: The system used N-gram word-level language models. These were constructed by train-ing separate models for transcriptions of the Hub5 acoustic trainingdata and for Broadcast News data and then ... not known if LDC-style or MSU-style training tran-scripts

10 Oct 2007: Experi-ments were carried out on a Mandarin broadcast transcription taskusing both Broadcast News (BN) and Broadcast Conversation (BC)data. ... 9] J. Ma, S. Matsoukas, O. Kimball, & R. Schwartz, “Unsuper-vised Training on Large Amounts of Broadcast

23 Jun 2005: 4. Experiments4.1. Data and Scoring Metric. The experiments reported in this paper use a development set of24 US broadcast news shows, denoteddev24 and a 12-showsubset of this, denoteddev12 which ... 953–956. [5] J.-L. Gauvain, L. Lamel, and G. Adda,

2 Mar 2000: The input data is presented to the system as complete episodes of broadcast news shows and these are first converted to a set of segments for further processing [9]. ... The HMMs used in TREC-7 were trained on 70 hours of acoustic data and the language

14 Aug 2000: The TREC-8 audio contains 500 hours of US broadcast news data that was recorded between February and June 1998. ... The speech recogniser uses cross-word context-dependent hidden Markov models and a 4-gram language model trained on broadcast news data.