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1 Aug 2005: Experimental results are presented on both broadcast news (BN) and conversational telephone speech (CTS) transcription tasks. |

23 Jun 2005: Using VTLN for Broadcast News Transcription. Proc. ICSLP 2004, October 2004 (Jeju Island, Korea). ... Speaker Diarisation for Broadcast News. Proc. Odyssey 2004 Speaker and Language Recognition Workshop, pp.

11 Nov 2005: hn). Since these templatesrepresent the lip configuration well, any new configurationcan be approximated by a linear combination of the proto-lips. ... n,j = 1. 18). 5.3 Audio to Visual MappingGiven a new audio clip, we first segment the audio signalinto

5 Apr 2005: Experimental results are presented on both broadcast news (BN) and conversational telephone speech (CTS) transcription tasks. |

12 Apr 2005: BN-E Experiments in Cambridge. Conclusion. • New acoustic models were built with additional training data. ... The new models also showed 0.4% abs better performance on eval04 inP1P2 framework with adaptation. •

22 Sep 2005: These new models are then used to resegment the data using a Viterbi decode. ... S. E. Tranter and D. A. Reynolds,. ''Speaker Diarisation for Broadcast News,'' [in Proc.

15 Feb 2005: Recent Developments at Cambridgein Broadcast News Transcription. D.Y. Kim, H.Y. Chan, G. ... Presentation Overview. • RT03 Broadcast News System Review• Training & Test Data• Improved Acoustic Model Building. –

31 Mar 2005: 30 minute extracts from 6 different US news shows broadcast in February 2001. ... S. E. Tranter and D. A. Reynolds,. ''Speaker Diarisation for Broadcast News,'' [in Proc.

15 Feb 2005: Viterbi decoding using new models then resegments the data. • First few iterations used diagonal covariance to model segments as there weremany short segments. • ... RT-04f RT-04f RT-04f 23.86 24.12† Official evaluation submission. • New

9 Aug 2005: THE APPLICABILITY OF ADAPTIVE LANGUAGE MODELLING FORTHE BROADCAST NEWS TASK. Philip Clarkson Tony Robinson. ... on cache-based and mixture-based modelsand their use on the Broadcast News task.

26 Mar 2005: 1)d. τ) τ. • More iterations decreases the prior’s influence as the new models improve. ... Future Work. Short Term Goals. • Re-tune IACS with new CPD output and try with BE model.

1 Apr 2005: DEVELOPMENT OF THE CU-HTK 2004 BROADCAST NEWS TRANSCRIPTION SYSTEMS. D.Y. Kim, H.Y. ... This has led to an order of magnitude increase intraining data for the US English broadcast news (BN-E) task.

10 Jan 2005: Silence portions longer than 1 second are discarded and the speech portions between these silences form the new segments. ... The ELISA Consortium Approaches in Broadcast News Speaker Segmentation during the NIST 2003 Rich Transcription Evaluation,.

15 Feb 2005: Fall 2004 RT-04 Workshop. 2Kim et al., ‘Recent Developments at Cambridge in Broadcast News Transcription’, Proc.

10 Jan 2005: A new, simple, linear approxima-tion to VTLN is described in this paper. ... Using this final setof VTLN warp factors a new decision tree is estimated.

9 Aug 2005: re-estimation iterations, each of which incorporated 100 epochs ofparameter optimisation for the new network. ... original. new. (ii) Training vector index. Inpu. t mag. nitu. detarget o/pnew o/p.

22 Sep 2005: These new models are then used toresegment the data using a Viterbi decode. ... C. Woodland, “Recent Advances inBroadcast News Transcription,” in Proc. ASRU, Decem-ber 2003, pp.

24 May 2005: In this paper wepropose a new scheme to numerically represent and evolve surfaces in3D. ... 5 Experimental results. In this section, we apply the new method to real medical image data.

9 Aug 2005: USA. ABSTRACT. Support Vector Machines (SVMs) represent a new approach topattern classification which has recently attracted a great deal of in-terest in the machine learning community. ... 14] V. Vapnik. The Nature of Statistical Learning Theory.Springer

9 Aug 2005: information about the new region formedthat is not part of the components itself (see fig. ... 4). formed new regionformed. new regionformed. new regionformed. new region. face candidatefeature region feature pair partial face group.