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NIST RT'05S Evaluation: Pre-processing Techniques and Speaker Diarization on Multiple Microphone Meetings

Abstract : This paper presents different pre-processing techniques, coupled with three speaker diarization systems in the framework of the NIST 2005 Spring Rich Transcription campaign (RT'05S). The pre-processing techniques aim at providing a signal quality index in order to build unique " virtual " signal obtained from all the microphone recordings available for a meeting. The unique " virtual " signal relies on a weighted sum of the different microphones while the signal quality index is given according to a signal to noise ratio. Two methods are used in this paper to compute the instantaneous signal to noise ratio: speech activity detection based approach and a noise spectrum estimate. The speaker diarization task is performed using systems developed by different labs: the LIA, LIUM and CLIPS. Among the different system submissions made by these three labs, the best system obtained 24.5 % speaker diarization error for the conference subdomain and 18.4 % for lecture subdomain.
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https://hal.archives-ouvertes.fr/hal-01434234
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Dan Istrate, Corinne Fredouille, Sylvain Meignier, Laurent Besacier, Jean-François Bonastre. NIST RT'05S Evaluation: Pre-processing Techniques and Speaker Diarization on Multiple Microphone Meetings. NIST Rich Transcription 2005 Spring Meeting Recognition Evaluation (RT'05S), Springer Lecture Notes in Computer Sciences (LNCS), 2006, Edinburgh, United Kingdom. pp.428 - 439, ⟨10.1007/11677482_36⟩. ⟨hal-01434234⟩

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