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Source Separation with One Ear: Proposition for an Anthropomorphic Approach

Abstract

We present an example of an anthropomorphic approach, in which auditory-based cues are combined with temporal correlation to implement a source separation system. The auditory features are based on spectral amplitude modulation and energy information obtained through 256 cochlear filters. Segmentation and binding of auditory objects are performed with a two-layered spiking neural network. The first layer performs the segmentation of the auditory images into objects, while the second layer binds the auditory objects belonging to the same source. The binding is further used to generate a mask (binary gain) to suppress the undesired sources from the original signal. Results are presented for a double-voiced (2 speakers) speech segment and for sentences corrupted with different noise sources. Comparative results are also given using PESQ (perceptual evaluation of speech quality) scores. The spiking neural network is fully adaptive and unsupervised.

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Correspondence to Jean Rouat.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Rouat, J., Pichevar, R. Source Separation with One Ear: Proposition for an Anthropomorphic Approach. EURASIP J. Adv. Signal Process. 2005, 471801 (2005). https://doi.org/10.1155/ASP.2005.1365

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Keywords and phrases

  • auditory modeling
  • source separation
  • amplitude modulation
  • auditory scene analysis
  • spiking neurons
  • temporal correlation