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!

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