11th Annual Conference of the International Speech Communication Association

Makuhari, Chiba, Japan
September 26-30. 2010

GMM-UBM Based Open-Set Online Speaker Diarization

Jürgen Geiger, Frank Wallhoff, Gerhard Rigoll

Technische Universität München, Germany

In this paper, we present an open-set online speaker diarization system. The system is based on Gaussian mixture models (GMMs), which are used as speaker models. The system starts with just 3 such models (one each for both genders and one for non-speech) and creates models for individual speakers not till the speakers occur. As more and more speakers appear, more models are created. Our system implicitly performs audio segmentation, speech/non-speech classification, gender recognition and speaker identification. The system is tested with the HUB4-1996 radio broadcast news database.

Full Paper

Bibliographic reference.  Geiger, Jürgen / Wallhoff, Frank / Rigoll, Gerhard (2010): "GMM-UBM based open-set online speaker diarization", In INTERSPEECH-2010, 2330-2333.