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Neuro-fuzzy clustering techniques for complex acoustic scenarios

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Abstract

An apparatus is described capable of detecting a specific sound among a sound mixture and of identifying the environmental acoustic scenario, to automatically adapt the apparatus to changing environmental conditions. Such an apparatus could be useful, for example, in the design of an ASR system robust to environmental noise. Starting from a time-frequency representation of the incoming signal, neuro-fuzzy clustering is performed on proper features extracted from time-frequency objects.

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Authors and Affiliations

  1. ST Microelectronics, Centro Direzionale Colleoni, 20041 Agrate Brianza, Italy

    Rinaldo Poluzzi & Alberto Savi

  2. DSide, Via Tiraboschi 3/a, Milan, Italy

    Davide Vago

  3. Via Valsesia 44, 20152, Milan, Italy

    Giuseppe Martina

Authors
  1. Rinaldo Poluzzi
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  2. Alberto Savi
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  3. Davide Vago
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  4. Giuseppe Martina
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Corresponding author

Correspondence to Rinaldo Poluzzi.

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Poluzzi, R., Savi, A., Vago, D. et al. Neuro-fuzzy clustering techniques for complex acoustic scenarios. Neural Comput & Applic 12, 160–165 (2003). https://doi.org/10.1007/s00521-003-0389-5

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  • DOI: https://doi.org/10.1007/s00521-003-0389-5

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