INTERSPEECH 2007
8th Annual Conference of the International Speech Communication Association

Antwerp, Belgium
August 27-31, 2007

Conversation Detection and Speaker Segmentation in Privacy-Sensitive Situated Speech Data

Danny Wyatt (1), Tanzeem Choudhury (2), Jeff Bilmes (1)

(1) University of Washington, USA
(2) Intel Research, USA

We present privacy-sensitive methods for (1) automatically finding multi-person conversations in spontaneous, situated speech data and (2) segmenting those conversations into speaker turns. The methods protect privacy through a feature set that is rich enough to capture conversational styles and dynamics, but not sufficient for reconstructing intelligible speech. Experimental results show that the conversation finding method outperforms earlier approaches and that the speaker segmentation method is a significant improvement to the only other known privacy-sensitive method for speaker segmentation.

Full Paper

Bibliographic reference.  Wyatt, Danny / Choudhury, Tanzeem / Bilmes, Jeff (2007): "Conversation detection and speaker segmentation in privacy-sensitive situated speech data", In INTERSPEECH-2007, 586-589.