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Browsing soundscapes

Abstract : Browsing soundscapes and sound databases generally relies on signal waveform representations, or on more or less informative textual metadata. The TM-chart representation is an efficient alternative designed to preview and compare soundscapes. However, its use is constrained and limited by the need for human annotation. In this paper, we describe a new approach to compute charts from sounds, that we call SamoCharts. SamoCharts are inspired by TM-charts, but can be computed without a human annotation. We present two methods for SamoChart computation. The first one is based on a segmentation of the signal from a set of predefined sound events. The second one is based on the confidence score of the detection algorithms. SamoCharts provide a compact and efficient representation of sounds and soundscapes, which can be used in different kinds of applications. We describe two application cases based on field recording corpora.
Keywords : Sound database
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Submitted on : Monday, October 3, 2016 - 10:52:07 AM
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  • HAL Id : hal-01375409, version 1
  • OATAO : 15295


Patrice Guyot, Julien Pinquier. Browsing soundscapes. 1st International Conference on Technologies for Music Notation and Representation (TENOR 2015), May 2015, Paris, France. pp. 1-8. ⟨hal-01375409⟩



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