Videos: Schlumberger workshop on Mathematical Models of Sound Analysis IHÉS 2012

The following looks like the first batch of videos from this meeting:

automatically learning the structure of spoken language without supervision by Aren Jansen

automatically learning the structure of spoken... par Ihes_science 

 machine learning for audio source separation by Francis Bach

 

machine learning for audio source separation par Ihes_science

predictive information and the emergence of cognitive hierarchies by Naftali Tishby

predictive information and the emergence of... par Ihes_science 

invariants for sound classification by Stephane Mallat

invariants for sound classification par Ihes_science 

learning hierarcical representations for natural signals by Yann LeCun

learning hierarcical representations for natural... par Ihes_science 

the representation of surprise in auditory cortex by Israel Nelken

the representation of surprise in auditory cortex par Ihes_science 

sparse audio models for inverse audio problems by Rémi Gribonval

sparse audio models for inverse audio problems par Ihes_science 

auditory texture representation by Josh McDermott

auditory texture representation par Ihes_science 

mathematical models of auditory cortical processing by Shihab Shamma

mathematical models of auditory cortical... par Ihes_science 

Mixing Audio Signals and User Models for Large Scale Music Recommendation by D­ouglas Eck

Mixing Audio Signals and User Models for Large... par Ihes_science

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