This is a MATLAB implementation of STGI, the speech intelligibility prediction algorithm proposed in [1]. The algorithm takes the time-aligned clean and degraded/processed speech signals as inputs. The output rho is expected to have a monotonically increasing relation with speech intelligibility. Please refer to Sec. V of [2] cited below for guidance on interpreting algorithm output.
Before using the STGI function, the utils folder has to be added to the search path for the current MATLAB session.
The function stgi takes three inputs:
rho = stgi(clean_speech, degraded_speech, Fs);clean_speech: An array containing a single-channel clean (reference) speech signal.degraded_speech: An array containing a single-channel degraded/processed speech signal.Fs: The sampling frequency of the input signals inHz.
Note that the clean and degraded speech signals must be time-aligned and of the same length.
If you use STGI, please cite the reference [1] below:
[1] A. Edraki, W.-Y. Chan, J. Jensen, & D. Fogerty, “A Spectro-Temporal Glimpsing Index (STGI) for Speech Intelligibility Prediction," Proc. Interspeech, 5 pages, Aug 2021.
[2] A. Edraki, W.-Y. Chan, J. Jensen, & D. Fogerty, “Speech Intelligibility Prediction Using Spectro-Temporal Modulation Analysis,” IEEE/ACM Trans. Audio, Speech, & Language Processing, vol. 29, pp. 210-225, 2021.