Sequential Organization of Speech in Reverberant Environments by Integrating Monaural Grouping and Binaural Localization
Abstract
Existing binaural approaches to speech segregation place an exclusive burden on location information. These approaches can achieve excellent performance in anechoic conditions but degrade rapidly in realistic environments where room reverberation corrupts localization cues. In this work we propose to integrate monaural and binaural processing to achieve sequential organization and localization of speech in reverberant environments. The proposed approach builds on monaural analysis for simultaneous organization, and combine sit with a novel method for generation of location-based cues in a probabilistic framework that jointly achieves localization and sequential organization. We compare sequential organization performance against a model-based system that uses only monaural cues and an exclusively binaural system, and localization performance against two existing methods that do not utilize monaural grouping. Results suggest that the proposed integration of monaural grouping and binaural localization allows for improved source localization and robust sequential organization performance in environments with considerable reverberation.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2009
- Accession Number
- AD1001201
Entities
People
- DeLiang Wang
- John Woodruff
Organizations
- Ohio State University