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search results for `BROADCAST NEWS TASK` |u:mi.eng.cam.ac.uk
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Speaker Diarisation for Broadcast News
mi.eng.cam.ac.uk/reports/full_html/tranter_odyssey04.html/14 Jun 2004: task of identifying 'who spoke when' in broadcast news audio is particularly interesting and challenging. ... Speaker diarisation was a task in the 2003 Spring Rich Transcription (RT-03s) evaluation.[1] This was a development of the RT-02 Broadcast News -
ADAPTIVE TRAINING USING STRUCTURED TRANSFORMS
mi.eng.cam.ac.uk/reports/svr-ftp/kai_icassp04st.pdf27 May 2004: INTRODUCTION. The majority of state-of-the-art speech recognition systems aretrained on found data, for example broadcast news and telephoneconversations. ... This is consistent with the gains that were obtainedon the Broadcast News task [11]. -
ADAPTIVE TRAINING USING STRUCTURED TRANSFORMS K. Yu and M.J.F. ...
mi.eng.cam.ac.uk/reports/svr-ftp/yu_icassp2004.pdf18 Jun 2004: The majority of state-of-the-art speech recognition systems aretrained onfounddata, for example broadcast news and telephoneconversations. ... This is consistent with the gains that were obtainedon the Broadcast News task [11]. -
Speaker Diarisation for Broadcast News S. E. Tranter†and ...
mi.eng.cam.ac.uk/reports/svr-ftp/tranter_odyssey04.pdf25 Mar 2004: Finally conclusionsare offered in Section7. 2. DiarisationSpeaker diarisation was a task in the 2003 Spring Rich Tran-scription (RT-03s) evaluation.[1] This was a development of theRT-02 Broadcast News ... 1999 DARPA Broadcast News Workshop,Herndon, VA, -
Cluster Voting for Speaker Diarisation S.E.…
mi.eng.cam.ac.uk/reports/svr-ftp/tranter_tr476.pdf13 May 2004: The speaker di-arisation task attempts to address this problem on Broadcast News data by defining an error rate whichcan be used to evaluate segmentations and their associated speaker labels. ... 02 Broadcast News Metadata speaker segmentation task
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