DAY 4 (February 14): Deep learning for speech TOPICS: - Deep learning, RNN, LSTM - end-to-end approaches - focus on adaptation, transfer learning for low-resourced tasks SUPERVISOR: Thomas Pellegrini (Thomas.Pellegrini@irit.fr) ESR LEAD: Bence Halpern

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Raw Waveform-based Acoustic Modeling and its analysis
Mathew Magimai Doss, Idiap Research Institute
14 Feb. 2019 · 9:12 a.m.
About Sequence Classification for Sound Event Detection and end-to-end ASR
Thomas Pellegrini, IRIT, France
14 Feb. 2019 · 10:14 a.m.
Case study: Weakly-labeled Sound Event Detection
Thomas Pellegrini, IRIT, France
14 Feb. 2019 · 11:05 a.m.
Introduction to Pytorch 1
14 Feb. 2019 · 12:06 p.m.
Introduction to Pytorch 2
14 Feb. 2019 · 12:26 p.m.