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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

10 Oct 2007: Discriminative training of precision matrices was evaluatedon an English conversational telephone speech (CTS) task,which consists of multi-speaker spontaneous telephone conver-sational speech, and an English broadcast news (BN) task, ... 1.1% and

10 Oct 2001: Thus given a stream of broadcast news, passages relevant to the user's information need can be successfully (and preferentially) retrieved. ... The material is all broadcast news, from a variety of sources.

22 Jun 2007: Experi-ments were carried out on a Mandarin transcriptions task. Two typesof test data were considered, Broadcast News (BN) and BroadcastConversations (BC). ... 8] J. Ma, S. Matsoukas, O. Kimball, and R. Schwartz, “Unsu-pervised training on large

20 Feb 2018: After analysing a two dimensional reestimationexample on artificial data, the proposed HMM is evaluatedon the 1997 Broadcast News task with a particular focuson spontaneous speech. ... Different topologies of themodel were evaluated on the 1997 Broadcast

22 Nov 2006: II. SEGMENTATION AND CLUSTERING. For Broadcast News transcription, the first stage of pro-cessing is to partition the incoming audio data stream intohomogeneous segments (the segmentation) and to group thesesegments into ... A. Training and Test Data Sets

27 May 2004: broadcast news data (TDT4 corpus) that were carefully chosen byclosed-caption filtering [3] [7]. ... Finally,conclusions are given in Section 5. 2. ENGLISH BROADCAST NEWS DATA.

8 Mar 2000: hours of broadcast news data. ... of broadcast news texts, the LDC-distributed 1995newswire texts, and the transcriptions of the acoustic training data.

22 Jun 2007: 3. STT POST PROCESSING. In processing data such as Broadcast News (BN) or Broadcast Con-versations (BCs) for an STT system, the first stage is to segment thedata into homogeneous blocks, ... The language models for each of the systems were trainedon over

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