Abstract
This paper presents the LIA submission to the speaker diarization task of the 2007 NIST Rich Transcription (RT’07) evaluation campaign. We report a system optimised for conference meeting recordings and experiments on all three RT’07 subdomains and microphone conditions. Results show that, despite state-of-the-art performance for the single distant microphone (SDM) condition, in its current form the system is not effective in utilising the additional information that is available with the multiple distant microphone (MDM) condition. With post evaluation tuning we achieve a DER of 19% on the MDM task with conference meeting data. Some early experimental work highlights both the limitations and potential of utilising between-channel delay features for diarization.
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References
NIST: (RT 2007) Rich Transcription meeting recognition evaluation plan (2007), http://www.nist.gov/speech/tests/rt/rt2007/docs/rt07-meeting-eval-plan-v2.pdf
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Fredouille, C., Evans, N. (2008). The LIA RT’07 Speaker Diarization System. In: Stiefelhagen, R., Bowers, R., Fiscus, J. (eds) Multimodal Technologies for Perception of Humans. RT CLEAR 2007 2007. Lecture Notes in Computer Science, vol 4625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68585-2_48
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DOI: https://doi.org/10.1007/978-3-540-68585-2_48
Publisher Name: Springer, Berlin, Heidelberg
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