Name: Signal Processing Basics for Audio - Dogac Basaran, CNRS - Voice Tech Podcast ep.008 - CLIP 1 by Voice Tech Podcast
Duration: 8 s

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, and describes some typical applications. We go into detail about speech-to-text (STT) technologies, and discuss the pros and cons of using cloud STT services such as Google speech versus building a custom STT system yourself.

Eric tells us about the latest open source tools and frameworks for building STT systems, and how to get that precious voice data to train our models. We learn how to build and annotate a custom voice dataset ourselves, and hear his advice on starting a voice first company.

This is a great first episode to kick off the series! Eric is super smart, with excellent technical skills and a real passion for voice technology. We already know each other quite well, so I couldn't think of anyone I'd rather have as my first guest on the show. I know you're gonna enjoy hearing what he had to say!

#001 - Speech to Text - Eric Bolo, Batvoice - CLIP 1

#001 - Speech to Text - Eric Bolo, Batvoice - CLIP 2

Dogac Basaran is a post-doctoral researcher at CNRS, the French national scientific research centre. Today, in part 1 of 2, Dogac gives us a crash course in signal processing, where we learn what signal processing is and discover some of its many applications. 

Leveraging his teaching experience, Dogac uses simple language and real-world examples to explain the fundamental signal processing concepts that are used in voice technology today. He defines frequency, period, and stationarity, and describes how sound cards use sampling and the Nyquist theorem to convert analogue signals into digital.

He then recommends some good educational resources and software packages, so you can learn more about signal processing and get started right away on your own programming projects.

Links from the show:
Dogac Basaran on Github: https://github.com/dogacbasaran
Dogac Basaran's websites: https://dbasaran.wp.imt.fr/ and http://dogacbasaran.com/
Signal Processing MOOC on Coursera: https://www.coursera.org/learn/dsp 
MATLAB: https://matlab.mathworks.com/
Python Scipy STFT package: https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.stft.html 
Humming databases: Jang, ThinkIT, IOSCAS and Task2
ISMIR association: http://www.ismir.net/
ISMIR 2018 conference: http://ismir2018.ircam.fr/
CNRS: http://www.cnrs.fr/
IRCAM: https://www.ircam.fr/

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Signal Processing Basics for Audio - Dogac Basaran, CNRS - Voice Tech Podcast ep.008 - CLIP 1

Host of the Voice Tech Podcast. Interviews with voice technology professionals, boosting your knowledge and technical skills. Voice interfaces, voice assistants, data science, machine learning and much more. Subscribe now!

technology, tech, voice, speech, assistant, bot, chatbot, alexa, machine learning, artificial intelligence, data science, AI

Signal Processing Basics for Audio - Dogac Basaran, CNRS - Voice Tech Podcast ep.008 - CLIP 1

Voice Tech Podcast

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