STOI incorporated in Matlab

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.

More ...