Discovering Auditory Objects Through Non-Negativity Constraints

Research output: Contribution to conferencePaperpeer-review

Abstract

We present a novel method for discovering auditory objects from scenes in a self-organized manner. Our approach is using non-negativity constraints to find the building elements of a monaural auditory input. Surprisingly, although devoid of any statistical measures, this approach discovers independent elements in the scene similarly to previously reported methods employing ICA algorithms. The use of non-negativity constraints makes this work best suited for spectral magnitude analysis and provides a fairly robust method for discovery and extraction of auditory objects from scenes.

Original languageEnglish (US)
StatePublished - 2004
Externally publishedYes
Event2004 ISCA Tutorial and Research Workshop on Statistical and Perceptual Audio Processing, SAPA 2004 - Jeju, Korea, Republic of
Duration: Oct 3 2004 → …

Conference

Conference2004 ISCA Tutorial and Research Workshop on Statistical and Perceptual Audio Processing, SAPA 2004
Country/TerritoryKorea, Republic of
CityJeju
Period10/3/04 → …

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Software
  • Electrical and Electronic Engineering

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