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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

The front-end used was PLP with a mel-spectra based filterbank. Models (triphones and quinphones) were adapted to broadcast news data via MLLR and MAP for each data type. ... Groups of clustered segments were then used for MLLR adaptation and word

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

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).

15 Feb 2005: Presentation Overview. • RT03 Broadcast News System Review• Training & Test Data• Improved Acoustic Model Building. – ... dev04f representative of the extended broadcast news corpus• No epoch overlap with the acoustic training data.

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

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

8 Mar 2000: This paper presents two strategies for clustering broadcast news data segments (found by an automatic segmentation algorithm) for subsequent MLLR adaptation. ... Experiments on various sets of broadcast news data have been carried out to evaluate the

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

27 Jul 2020: T. Hain, P.C. Woodland. 1998. Broadcast news audio data contains a wide variety of different speakers and audio conditions (channel and background noise). ... The segmentation system has been evaluated on the DARPA 1997 broadcast news data set and