Dogac Basaran

Signal Processing Basics for Audio – Dogac Basaran, CNRS – Voice Tech Podcast ep.008

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.

Pablo Arias

Perception of Smiles in the Voice – Pablo Arias, IRCAM – Voice Tech Podcast ep.007

Pablo Arias is a final-year PhD student in perception and cognitive science at the audio research lab, IRCAM, in Paris. We discuss Pablo’s work on the how smiling changes the voice, and how people perceive smiling and non-smiling voices.

First Pablo explains what cognitive science, neuroscience and perception are, and why research into these areas is so important. He then takes us through the aims, methods, and results of his latest research paper into smiling in the voice, and we discuss the academic and technological implications of his work.