Conference proceeding
Joint iterative multi-speaker identification and source separation using expectation propagation
2007 IEEE WORKSHOP ON APPLICATIONS OF SIGNAL PROCESSING TO AUDIO AND ACOUSTICS, pp.245-248
01 Jan 2007
Abstract
The identification of individuals by the sound of their voices, a fairly straightforward task for humans, has proven to be quite difficult to achieve in a robust way computationally. The majority of past work in speaker (talker) identification has focused on the single speaker case, but these systems are easily confounded by most real-world settings where multiple talkers may be overlapping or speaking simultaneously. To address this situation, we propose a system that jointly identifies and separates the acoustic features of multiple talkers that fall within a library of known individuals. This system uses the probabilistic framework of expectation propagation (EP) to iteratively determine model-based statistics of both speaker identity and feature separation. This research has applications in audio surveillance as well as the forensic analysis of real-world sound recordings that contain multiple simultaneous talkers. Robust speaker identification could also lead to improved interfaces for human-computer interaction.
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Details
- Title
- Joint iterative multi-speaker identification and source separation using expectation propagation
- Creators
- John MacLaren Walsh - Drexel Univ, Philadelphia, PA 19104 USAYoungmoo E. Kim - Drexel Univ, Philadelphia, PA 19104 USATravis M. Doll - Drexel Univ, Philadelphia, PA 19104 USAIEEE
- Publication Details
- 2007 IEEE WORKSHOP ON APPLICATIONS OF SIGNAL PROCESSING TO AUDIO AND ACOUSTICS, pp.245-248
- Conference
- 2007 IEEE WORKSHOP ON APPLICATIONS OF SIGNAL PROCESSING TO AUDIO AND ACOUSTICS
- Publisher
- IEEE
- Number of pages
- 4
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Identifiers
- 991019170390004721
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Web of Science research areas
- Acoustics
- Engineering, Electrical & Electronic