Christopher Oates is a Senior Audio DSP Engineer at audEERING, an audio analysis company that specialises in emotional artificial intelligence. Chris explains how the human voice production system works, and introduces us to a technique called linear predictive coding (LPC) which can extract the features of the voice.

We then focus on machine learning for audio, including using expert audio knowledge along with machine learning methods, leveraging the openSMILE toolkit for feature extraction, and signal processing techniques. Chris explains things really well and even brought along some audio clips to help illustrate the signal concepts. 

He then reveals some of the latest projects at audEERING, including using speech analytics in gaming applications, such as whisper detection in a ninja game! It's an awesome episode that is jam-packed with useful and interesting information. Enjoy! This is a time-limited preview. To hear the full episode, and access the full catalogue of episodes and bonus content, become a Voice Tech Pro https://voicetechpodcast.com/pro

Links from the show: 

• Full show notes: https://voicetechpodcast.com
• Dabble Lab: https://youtube.com/dabblelab
• audEERING: https://www.audeering.com/
• Chris on compressed audio and ML: http://bit.ly/2MMW7fX
• Blog on emotional games: http://bit.ly/2MOi0LY
• Blog on emotion detection: http://bit.ly/2MN0wzj
• openSMILE: http://bit.ly/2MRgfO8
• Video on Intelligent Machines:  http://bit.ly/2MNuraK
• CSO interview:  http://bit.ly/2MOq8M8

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