Schlumberger workshop on Mathematical Models of Sound Analysis

Collection Schlumberger workshop on Mathematical Models of Sound Analysis

Organizer(s) S.Mallat, D.Pressnitzer, A. de Cheveigné, Sh. Shamma

Date(s) 14/06/2012 - 15/06/2012

00:00:00 / 00:00:00

10 11

Automatically learning the structure of spoken language without supervision

Information about the video

Date of recording 14/06/2012
Date of publication 15/06/2012
Institution IHES
Licence CC BY-NC-ND
Language English
Audience Researchers
Format MP4

Domain(s)

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All the collection videos

33:00

published on June 15, 2012

Mixing Audio Signals and User Models for Large Scale Music Recommendation

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40:49

published on June 15, 2012

Mathematical models of auditory cortical processing

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41:53

published on June 15, 2012

Auditory texture representation

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38:56

published on June 15, 2012

Sparse audio models for inverse audio problems

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39:47

published on June 15, 2012

The representation of surprise in auditory cortex

By Israel Nelken

37:23

published on June 15, 2012

Learning hierarcical representations for natural signals

By Yann LeCun

01:00:17

published on June 15, 2012

Invariants for sound classification

By Stéphane Mallat

41:45

published on June 15, 2012

Predictive information and the emergence of cognitive hierarchies

By Naftali Tishby

39:19

published on June 15, 2012

Machine learning for audio source separation

By Francis Bach

37:35

published on June 15, 2012

Automatically learning the structure of spoken language without supervision

By Aren Jansen

27:17

published on June 15, 2012

Dealing with unknown unknowns in speech

By Hynek Hermansky

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