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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

8 Mar 2000: its performance using automatic transcriptions of about 50 hours of broadcast news data. ... 132 million words of broadcast news texts, the LDC-distributed 1995 newswire texts, and the transcriptions of the acoustic training data.

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.

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.

30 Mar 2000: Since a substantial portion of the data to be transcribed was known to be commercials and thus irrelevant to broadcast news queries, an automatic method of detecting and eliminating such commercials ... Three fixed backoff word-based language models were

10 Apr 2000: and then adapted to individ-ual data types of broadcast news data using supervised maximumlikelihood linear regression (MLLR) [4, 2]. ... 2. BROADCAST NEWS DATA. This section describes the various data sets that have been used inthe experiments reported

31 Aug 2019: 19] J. Ma, S. Matsoukas, O. Kimball, and R. Schwartz, “Unsu-pervised training on large amounts of broadcast news data,” inICASSP, 2006. ... 28] J. Ma and S. Matsoukas, “Unsupervised training on a largeamount of Arabic broadcast news data,” in

15 Jun 2018: This provides a contrastto conversational telephone speech (CTS), broadcast news andvoice search style data for which numerous systems have beendeveloped [1, 2, 3, 4, 5, 6]. ... This pa-per looked at a particular scenario where the development train-ing

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,

10 Apr 2000: This paper presents two strategies forclustering broadcast news data segments (found by an au-tomatic segmentation algorithm) for subsequent MLLRadaptation. ... 5. EXPERIMENTS. Experiments on various sets of broadcast news data havebeen carried out to

11 Jan 2008: 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