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

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by Carl Robinson

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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

Rana Gujral Behavioural Signals

The Emotion Machine – Rana Gujral, Behavioral Signals – Voice Tech Podcast ep.035

Rana Gujral is the CEO of Behavioral Signals, a company that allows developers to add speech emotion and behavioral recognition AI to their products.

Chris Mitchell Audioanalytic

Sound Recognition – Dr. Chris Mitchell, Audio Analytic – Voice Tech Podcast ep.026

Dr Chris Mitchell, CEO and Founder of Audio Analytic, who develop sound recognition software that adds context-based intelligence into consumer technology products.

Christopher Oates Audeering

Machine Learning Signals – Christopher Oates, audEERING – Voice Tech Podcast ep.020

Christopher Oates is a Senior Audio DSP Engineer at audEERING. We discuss machine learning for audio, including LPC signal processing & openSMILE features.

Florian Eyben Audeering

Voice Emotion Analytics – Florian Eyben, audEERING – Voice Tech Podcast ep.014

Florian 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.

Eric Bolo Batvoice

Speech to Text – Eric Bolo, Batvoice – Voice Tech Podcast ep.001

Eric 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.

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About the author

Carl Robinson
Carl Robinson

Carl is the host of the Voice Tech Podcast. Since launching in April 2018, Carl has conducted over 40 in-depth interviews with voice industry experts, building one of the most well known media brands in the voice AI space.

Carl is the author of Voice Chops Tuesday, the number 1 voice technology newsletter that is enjoyed by over 1000 voice tech fans each week.

Carl is also a startup founder, product manager and data scientist, recently presenting 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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