A bio-inspired sound source separation technique in combination with an enhanced FIR gammatone analysis/synthesis filterbank

A sound source separation technique based on a two-layered bio-inspired spiking neural network and an enhanced gammatone analysis/synthesis filterbank is proposed. One of the two bio-inspired proposed spectral maps (Cochleotopic / AMtopic or Cochleotopic / Spectrotopic) is used as a front-end to the...

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Bibliographic Details
Published in2004 12th European Signal Processing Conference pp. 2063 - 2066
Main Authors Pichevar, Ramin, Rouat, Jean, Feldbauer, Christian, Kubin, Gernot
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.09.2004
Subjects
Abstracts
Artificial neural networks
Computer aided manufacturing
Legged locomotion
Neural networks
Separation
Sound
Sound sources
Spectra
Spiking
Synthesis
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Summary:A sound source separation technique based on a two-layered bio-inspired spiking neural network and an enhanced gammatone analysis/synthesis filterbank is proposed. One of the two bio-inspired proposed spectral maps (Cochleotopic / AMtopic or Cochleotopic / Spectrotopic) is used as a front-end to the neural network depending on the nature of the intruding sound. We show that the use of an FIR gammatone filterbank outperforms the previous results obtained by using an IIR gammatone cochlear filterbank, since the FIR implementation has near-perfect reconstruction ability and the cascade of the analysis and synthesis filterbanks is linear-phase.
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ISBN:9783200001657
3200001658