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PyCode Conference 2019

https://pycode-conference.org/

  • October 14-16
  • Gdansk, Poland

Proposal

Recognizing sounds with Machine Learning and Python

Abstract

Sound is a rich source of information about the world around us with many applications within music and speech domains, as well as specific tasks in industry and science.

This talk will show you how to build practical models for sound classification, using Convolutional Neural Networks on audio spectrograms. Tricks for dealing with small amounts of data will also be covered, including transfer learning, audio embeddings and data augmentation.

A basic understanding of machine learning is recommended.

Bio

Jon started to program in Python in 2009. Since then he has worked as a Software Developer and Data Engineer within Embedded Systems and Software-as-a-Service projects. With a Bachelor in Electronics Engineering and a Master in Data Science, he is an expert on Machine Learning applied to the Internet of Things.

These days Jon is the CTO of Soundsensing, and also does freelance consulting for IoT companies.