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27 Jul 2020: WHO REALLY SPOKE WHEN? FINDING SPEAKER TURNS AND IDENTITIES IN BROADCAST NEWS AUDIO. ... S. E. Tranter. May 2006. Automatic speaker segmentation and clustering methods have improved considerably over the last few years in the Broadcast News domain.

7 Oct 2001: This was the lowest overall word error rate in the 1997 DARPA broadcast news evaluation, by a statistically significant margin. ... A new scheme was developed for finding speaker clusters in found speech such as broadcast news.

9 Dec 2006: Who Really Spoke When? Finding Speaker Turns and Identities in Broadcast News Audio. ... For example, speaker models can be built for people who are likely to be in the broadcast (such as prominent politicians or main news anchors and reporters).

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,

22 Nov 2006: This is especially thecase when there is no other additional constraints such as a lan-guage model, e.g. ... Major limitations of this paper are thatexperiments are conducted on artificially corrupted data and as-sume noise stationarity; however, recent

10 Oct 2007: UNSUPERVISED TRAINING FOR MANDARIN BROADCAST NEWS AND CONVERSATIONTRANSCRIPTION. L. Wang, M.J.F. ... Index Terms— Speech Recognition, unsupervised learning. 1. INTRODUCTION. For some tasks, such as Broadcast News (BN) transcription, audiodata can be

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 ... The rest of the paper is arranged as follows. We first give

19 Dec 2006: Front-end CMLLRAs it is useful to compare the uncertainty decoding schemes toapproaches such as CMLLR, CMLLR can be modified to usea GMM front-end selection process. ... Future work will examine real found data, suchas broadcast news, and the application

10 Oct 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, ... 12] B. Xiang, L. Nguyen, X. Guo, and D. Xu, “The BBN

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 ... The rest of the paper is arranged as follows. We first give

3 Dec 2008: 1. IntroductionSpeech recognition systems are increasingly being built withfound data such as broadcast news and conversational tele-phone speech recordings. ... Therefore, the use ofMLLRDMT as a testing transform with other DSAT modelswas investigated.

19 May 2005: How-ever such a simple linear normalization scheme may not be pow-erful enough to normalize highly non-homogeneous speech data,such as broadcast news. ... Development ofthe CU-HTK 2004 Broadcast News Transcription System,Summited to ICASSP’05. [10] K.

10 Apr 2000: The rest of the paper is arranged as follows. We first give de-tails of the broadcast news data used, and then describe our workon segment processing (segmentation, classification and ... This corpus will be referred to as BN-train96. A further tranche

9 Dec 2006: WHO REALLY SPOKE WHEN?FINDING SPEAKER TURNS AND IDENTITIES IN BROADCAST NEWS AUDIO. ... For exam-ple, speaker models can be built for people who are likely to be inthe broadcast (such as prominent politicians or main news anchorsand reporters).

16 Jun 2000: A more complex example is to automatically detect repeated events in a database of broadcasts which usually correspond to non-news items such as commercials or jingles. ... Since pre-recorded commercials and jingles are often re-broadcast several times,

8 Mar 2000: For speech transcription problems with widely varying speaker, channel and background conditions, such as broadcast news transcription, it is beneficial to include unsupervised test-data adaptation to individual speakers and data ... M A Siegler,

8 Mar 2000: The 1997 HTK Broadcast News Transcription SystemP.C. Woodland, T. Hain, S.E. ... The rest of the paper is arranged as follows. We first givedetails of the broadcast news data used in the experiments,and briefly describe our work on segment processing

22 Jun 2007: UNSUPERVISED TRAINING FOR MANDARIN BROADCAST NEWS AND CONVERSATIONTRANSCRIPTION. L. Wang, M.J.F. ... Index Terms— Speech Recognition, unsupervised learning. 1. INTRODUCTION. For some tasks, such as Broadcast News (BN) transcription, audiodata can be

2 Mar 2009: 1. IntroductionSpeech recognition systems are increasingly being built withfound data such as broadcast news and conversational tele-phone speech recordings. ... Therefore, the use ofMLLRDMT as a testing transform with other DSAT modelswas investigated.

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, ... 12] B. Xiang, L. Nguyen, X. Guo, and D. Xu, “The BBN