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Introduction to Machine Learning for Game Audio
Machine learning, and deep learning especially, is changing the way that audio professionals work. This talk summarizes the most relevant research in this exciting field, and describes novel applications of machine learning, specifically for interactive audio. You'll see demonstrations and code for: automatic feature extraction, classification, speaker detection, emotion detection, and character synthesis. And, you'll get pointers to papers and open source implementations of these algorithms. In addition, you'll get a list of rules for what will and what will not be possible with deep learning, until the year 2030.
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