The TNO speaker speaker diarization system is based on a standard BIC segmentation and clustering algorithm. Since for the NIST Rich Transcription speaker dizarization evaluation m...
In this paper we describe the AMIDA speaker dizarization system as it was submitted to the NIST Rich Transcription evaluation 2007 for conference room data. This is done in the con...
In the meeting case scenario, audio is often recorded using Multiple Distance Microphones (MDM) in a non-intrusive manner. Typically a beamforming is performed in order to obtain ...
The following article shows how a state-of-the-art speaker diarization system can be improved by combining traditional short-term features (MFCCs) with prosodic and other longterm...
Gerald Friedland, Oriol Vinyals, C. Yan Huang, Chr...
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...