Classification de signaux acoustiques au moyen d’architectures d’apprentissage profondes

La classification de signaux acoustiques dont les facteurs de variation sont dus à différents effets atmosphériques et de propagation du son est un problème qui présente de réels défis. Ce stage de recherche explorera de nouveaux algorithmes d'apprentissage pour cette application, des algorithmes capables de capter certaines des structures complexes des données.

Faculty Supervisor:

M. Douglas Eck

Student:

Hugo Larochelle

Partner:

ApSTAT Technologies Inc.

Discipline:

Computer science

Sector:

Education

University:

Université de Montréal

Program:

Accelerate

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