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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NIST Rich Transcription 2005 Spring Meeting Recognition Evaluation (RT'05S), Springer Lecture Notes in Computer Sciences (LNCS), 2006, Edinburgh, United Kingdom. Springer, pp.428 - 439, 2006, 〈10.1007/11677482_36〉
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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. Springer, pp.428 - 439, 2006, 〈10.1007/11677482_36〉. 〈hal-01434234〉

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