Conference proceeding
Blind sparse-nonnegative (BSN) channel identification for acoustic time-difference-of-arrival estimation
2007 IEEE WORKSHOP ON APPLICATIONS OF SIGNAL PROCESSING TO AUDIO AND ACOUSTICS
01 Jan 2007
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Estimating time-difference-of-arrival (TDOA) remains a challenging task when acoustic environments are reverberant and noisy. Blind channel identification approaches for TDOA estimation explicitly model multipath reflections and have been demonstrated to be effective in dealing with reverberation. Unfortunately, existing blind channel identification algorithms are sensitive to ambient noise. This paper shows how to resolve the noise sensitivity issue by exploiting prior knowledge about an acoustic room impulse response (RIR), namely, an acoustic RIR can be modeled by a sparse-nonnegative FIR filter. This paper shows how to formulate a single-input two-output blind channel identification into a least square convex optimization, and how to incorporate the sparsity and nonnegativity priors so that the resulting optimization remains convex and can be solved efficiently. The proposed blind sparse-nonnegative (BSN) channel identification approach for TDOA estimation is not only robust to reverberation, but also robust to ambient noise, as demonstrated by simulations and experiments in real acoustic environments.
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Details
- Title
- Blind sparse-nonnegative (BSN) channel identification for acoustic time-difference-of-arrival estimation
- Creators
- Yuanqing Lin - Univ Penn, Dept Elect & Syst Engn, Grasp Lab, Philadelphia, PA 19104 USAJingdong Chen - Drexel Univ, Elect & Comp Engn Dept, Philadelphia, PA 19104 USAYoungmoo Kim - Drexel Univ, Elect & Comp Engn Dept, Philadelphia, PA 19104 USADaniel D. Lee - Univ Penn, Dept Elect & Syst Engn, Grasp Lab, Philadelphia, PA 19104 USAIEEE
- Publication Details
- 2007 IEEE WORKSHOP ON APPLICATIONS OF SIGNAL PROCESSING TO AUDIO AND ACOUSTICS
- Conference
- 2007 IEEE WORKSHOP ON APPLICATIONS OF SIGNAL PROCESSING TO AUDIO AND ACOUSTICS
- Publisher
- IEEE
- Number of pages
- 2
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Identifiers
- 991019170405504721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Acoustics
- Engineering, Electrical & Electronic