Sound source separation via computational auditory scene analysis-enhanced beamforming

Sound source separation via computational auditory scene analysis-enhanced beamforming

The paper describes a new approach to sound source separation, called computational auditory scene analysis-enhanced beamforming (CASA-EB). It achieves increased signal separation performance by combining beamforming with an auditory model (CASA). The motivation for combining them is that they are c...

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Hauptverfasser: Drake, L., Katsaggelos, A.K., Rutledge, J.C., Jun Zhang
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Acoustic signal processing
Array signal processing
Auditory system
Humans
Interference
Layout
Psychoacoustic models
Robotics and automation
Signal processing
Source separation
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Beschreibung
Zusammenfassung:The paper describes a new approach to sound source separation, called computational auditory scene analysis-enhanced beamforming (CASA-EB). It achieves increased signal separation performance by combining beamforming with an auditory model (CASA). The motivation for combining them is that they are complementary, i.e., they use independent signal attributes, and as a result, CASA-EB can separate more types of mixtures. The efficacy of this approach is demonstrated by experimental results.
DOI:10.1109/SAM.2002.1191040