Abstract

The enormous amount of unstructured digital audio (and more generally multimedia) data available nowadays and the spread of its use as a data source in many applications are introducing new challenges to researchers in information and signal processing. The need for content-based audio data indexing and retrieval techniques to make the audio information more readily available to the user is becoming ever more critical. The purpose of this talk is to present current research directions in audio indexing conducted at GET -ENST. After a brief introduction of our subspace based signal analysis framework, several aspects of audio indexing such as feature selection or Harmonic/noise decomposition will be illustrated in the context of drum signal processing (drum signal separation and transcription). Some preliminary results in audio transcription based on Non-Negative Matrix factorisation will be also briefly be discussed. The talk will be concluded with a demonstration of audio post-remixing (with enhanced or reduced drum track) and if time remains with a demonstration of a drum loop retrieval system from vocal queries.

Information on Gaël Richard at: http://www.enst.fr/~grichard/