144th AES CONVENTION Workshop W11: Deep Learning for Audio Applications

AES Milan 2018
Workshop W11

Thursday, May 24, 12:15 — 13:45 (Scala 3)

W11 - Deep Learning for Audio Applications

Konstantinos Drossos, Tampere University of Technology - Tampere, Finland
Qiuqiang Kong, University of Surrey - Guildford, Surrey, UK
Stylianos Ioannis Mimilakis, Fraunhofer Institute for Digital Media Technology (IDMT) - Ilmenau, Germany
Christian Uhle, Fraunhofer Institute for Integrated Circuits IIS - Erlangen, Germany; International Audio Laboratories Erlangen - Erlangen, Germany

Deep learning is currently the most active research field. It has led to impressive improvements over former state-of-the-art methods in, for example, image classification, speech recognition, and text translation.
This workshop introduces the concepts of deep learning and shows how it is applied to various problems of the audio engineering community, e.g., acoustic event detection, signal enhancement, source separation, and classification.

AES Technical Council This session is presented in association with the AES Technical Committee on Semantic Audio Analysis

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