AES Conference Papers Forum

Automatic Forensic Voice Comparison Using Recording Adapted Background Models

Document Thumbnail

We present the automatic forensic voice comparison system SPES which is developed in cooperation with the Federal Criminal Police Office of Germany (Bundeskriminalamt - BKA), the University of Applied Sciences Koblenz and the Department of Phonetics, University of Trier, Germany. The system is based on the classical GMM-UBM framework based on MAP adaption as described by Reynolds et al. This GMM-UBM framework is extended by creating specific background models for each suspect recording based on the similarity of speakers. The less general and more specific background models lead to better discrimination ability and more reliable results. We show how the usage of recording adapted background models outperforms the standard GMM-UBM approach in different recording conditions.

AES Conference:
Paper Number:
Publication Date:

Click to purchase paper as a non-member or you can login as an AES member to see more options.

No AES members have commented on this paper yet.

Subscribe to this discussion

RSS Feed To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.

Start a discussion!

If you would like to start a discussion about this paper and are an AES member then you can login here:

If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.

AES - Audio Engineering Society