Live speaker identification in conversations

ABSTRACT

The following article describes our technical demonstration of an online speaker identification system for conversations. A laptop with an internal microphone is centrally placed in the table of a meeting room. The system is able to identify the current speaker independent of spoken text or language with a latency of about 1.5 seconds and an accuracy of about 85% (as evaluated against the NIST RT benchmark). A Java GUI shows the image of the current speaker along with a timeline containing past speakers. Speakers are added to the system's database using a one-minute training procedure.

REFERENCES

• 1: X. Anguera, C. Wooters, B. Peskin, and M. Aguilo. Robust speaker segmentation for meetings: The ICSI-SRI spring 2005 diarization system. In Proceeding of the NIST MLMI Meeting Recognition Workshop, Edinburgh, 2005.
• 2: Douglas A. Reynolds, Speaker identification and verification using Gaussian mixture speaker models, Speech Communication, v.17 n.1-2, p.91-108, Aug. 1995 [doi>10.1016/0167-6393(95)00009-D]
• 3: D. A. Reynolds and P. Torres-Carrasquillo. Approaches and applications of audio diarization. In Proceedings of the IEEE ICASSP, 2005.
• 4: Oriol Vinyals , Gerald Friedland, Towards Semantic Analysis of Conversations: A System for the Live Identification of Speakers in Meetings, Proceedings of the 2008 IEEE International Conference on Semantic Computing, p.426-431, August 04-07, 2008 [doi>10.1109/ICSC.2008.58]
• 5: C. Wooters and M. Huijbregts. The ICSI RT07s speaker diarization system. In Proceedings of the RT07 Meeting Recognition Evaluation Workshop, 2007.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing
          Subjects: Indexing methods

General Terms:
Algorithms

Keywords:
conversations, diarization, online, speaker identification