News
STOI incorporated in Matlab
- Friday, 22 March 2024
STOI is a widely used measure for "short-time objective intelligibility" in (compressed) speech. It was developed by Cees Taal, Richard Hendriks (SPS), Richard Heusdens, and Jesper Jensen in 2010.
It allows to assess the performance of speech compression algorithms, without using listening panels. It is currently popular as a target feature in machine learning algorithms.
STOI already won best paper awards, and has now been incorporated in the 2024 edition of Matlab.
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News
Ata Golparvar Receives SNSF Postdoctoral Fellowship
Three-year fellowship to develop transient implants for pre-symptomatic diagnosis.
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Seeing the brain in action with mobile ultrasound
In the news: Science Advances article by Pieter Kruizinga, with Bori Hunyadi (SPS)
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Startup Innatera covered in IEEE Spectrum
Introducing Pulsar, a Spiking Neural Networks chip
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