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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

10 May 2000: We processed this data to automatically detect andremove commercials [2]. Transcription used a simplifiedversion of the HTK broadcast news system which corre-sponds to the “first-pass” recognition system describedin [2]. ... Thespeech recogniser uses

11 Jun 2019: The audio in the analysis andthe development testing (DEV) packs on which we evaluate initialsystems consists largely of news and topical broadcasts, along withsmaller amounts of CTS data that is similar ... The much higher sampling ratesof 44.1 and 48

11 Jan 2008: The performance and combination ofphonetic and graphemic acoustic models are then compared on bothBroadcast News (BN) and Broadcast Conversation (BC) data. ... Schwartz, “Unsu-pervised training on large amount of broadcast news data,” inProc.

8 Mar 2000: 1. IntroductionThe transcription of broadcast news requires techniques to deal withthe large variety of data types present. ... The distribution of broadcast news data suitable for GMM trainingcan be seen in Table 1.

19 Nov 2010: on splicing 9 time frames of 24 dimensional Cepstra, including c0.A context dependent state–clustered allophone system was builton the broadcast news training data. ... Recent improvements to ibm’s speech recogni-tion system for automatic

10 Oct 2007: F. Gales. Abstract— Large vocabulary speech recognition systems areoften built using found data, such as broadcast news. ... I. INTRODUCTION. A DAPTIVE training [1], [2] has become increasinglypopular as greater use has been made of found data, suchas

20 Feb 2018: likelihood. Otherclassifiers such as SVMs [13] and MLPs [14] have also been used.This classification approach has been used successfully in LVCSRtasks such as meetings [15, 14, 16] and broadcast news ... 17] J.L. Gauvain, L. Lamel, and G. Adda,

12 Oct 2000: The system used N-gram word-level language models. These were constructed by training separate models for transcriptions of the Hub5 acoustic training data and for Broadcast News data and then ... Since it was not known if LDC-style or MSU-style training

25 Sep 2003: 3. BROADCAST NEWS DATA. 3.1. Acoustic training data. For acoustic model training, the BN-E data released by the LDC in1997 and 1998 was used. ... Broadcast News Data. Acoustic training data. Development data. Text corpora. Acoustic model building.

5 Feb 2019: The develop-ment data was used to assess the accuracy of confidence estimationapproaches. ... 22] J. Ma and S. Matsoukas, “Unsupervised training on a largeamount of Arabic broadcast news data,” in ICASSP, 2007.