Accessing Minimal-Impact Personal Audio Archives

  • Authors:
  • Daniel P. W. Ellis;Keansub Lee

  • Affiliations:
  • Columbia University;Columbia University

  • Venue:
  • IEEE MultiMedia
  • Year:
  • 2006

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Abstract

We've collected personal audio--essentially everything we hear--for two years and have experimented with methods to index andaccess the resulting data. Here, we describe our experiments in segmenting and labeling these recordings into episodes (relativelyconsistent acoustic situations lasting a few minutes or more) using the Bayesian Information Criterion (from speaker segmentation) andspectral clustering.