Abstract / truncated to 115 words (read the full abstract)

For humans, the sound is valuable mostly for its meaning. The voice is spoken language, music, artistic intent. Its physiological functioning is highly developed, as well as our understanding of the underlying process. It is a challenge to replicate this analysis using a computer: in many aspects, its capabilities do not match those of human beings when it comes to speech or instruments music recognition from the sound, to name a few. In this thesis, two problems are investigated: the source separation and the musical processing. The first part investigates the source separation using only one Microphone. The problem of sources separation arises when several audio sources are present at the same moment, mixed together ... toggle 5 keywords

source separation autoregressive model ornementation adaptive filtering spectral analysis

Information

Author
Schutz, Antony
Institution
Eurecome/Mobile
Supervisor
Publication Year
2010
Upload Date
March 27, 2011

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