The top podcast episodes for data science and machine learning in voice

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We’ve hand-picked the very best podcast episodes that cover data science and machine learning engineering in voice. Whether you’re looking to build data driven voice applications yourself, or simply want to learn more about the possibilities of this powerful new technology, these episodes are guaranteed to give you a deep understanding of how artificial intelligence is being used in the voice space today.
Voice data science and machine learning podcasts
The Emotion Machine – Rana Gujral, Behavioral Signals – Voice Tech Podcast ep.035
/0 Comments/in Podcast Episodes /byRana Gujral is the CEO of Behavioral Signals, a company that allows developers to add speech emotion and behavioral recognition AI to their products.
Sound Recognition – Dr. Chris Mitchell, Audio Analytic – Voice Tech Podcast ep.026
/0 Comments/in Podcast Episodes /byDr Chris Mitchell, CEO and Founder of Audio Analytic, who develop sound recognition software that adds context-based intelligence into consumer technology products.
Machine Learning Signals – Christopher Oates, audEERING – Voice Tech Podcast ep.020
/2 Comments/in Podcast Episodes /byChristopher Oates is a Senior Audio DSP Engineer at audEERING. We discuss machine learning for audio, including LPC signal processing & openSMILE features.
Voice Emotion Analytics – Florian Eyben, audEERING – Voice Tech Podcast ep.014
/1 Comment/in Podcast Episodes /byFlorian Eyben is the CTO of audEERING, an audio analysis company that specialises in emotional artificial intelligence. Florian is a leading expert in voice emotion analytics, machine learning and signal processing, and our conversation is a great introduction to harnessing emotion in the voice.
Speech to Text – Eric Bolo, Batvoice – Voice Tech Podcast ep.001
/0 Comments/in Podcast Episodes /byEric Bolo is the CTO of Batvoice Technologies, a speech analytics startup based in Paris, France. Eric talks about building a custom speech-to-text system for their flagship product, Call Watch. He introduces us to speech analytics and audio-mining, speech-to-text (STT), and discuss the pros and cons of using cloud STT services.
More top podcasts
Check out these top podcasts for other voice tech job roles.
Voice app development courses
If you’re interested in learning to build Google Assistant Actions, Apple Siri Apps, or chatbots, check out these articles on the best voice app development courses available today.
About the author

Carl Robinson
Carl is the host of the Voice Tech Podcast. Since launching in April 2018, Carl has conducted scores of in-depth interviews with voice industry experts, building one of the most well known media brands in the voice AI space.
He also publishes Voice Chops Tuesday, the number 1 voice technology newsletter, enjoyed by thousands of voice tech fans each week.
Carl is a startup founder, product manager and data scientist, and recently presented a model for voice emotion conversion at ICASSP 2019.
To contact Carl, use the links in this box to send an email, tweet or message.
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