This repo shows how to extract modulation spectrogram using the SRMR toolbox, some visualizations, and how to use the modulation spectrogram for speech based machine learning tasks. The SRMR toolbox is designed specifically for speech-related tasks, our team have developed other versions of modulation spectrogram tailored for other signals (e.g., ECG, EEG, accelerometer data, etc.). You can refer to the Github website of our lab for more info (https://github.com/MuSAELab).
You can find dependencies and detailed instructions about each exercise in Instructions.md. Please have these tools/packages installed before the workshop in order to run the exercise scripts.
A detailed technical note on the background of modulation spectrogram and its applications can be found at https://github.com/MuSAELab/modulation-spectrogram-technical-note.
More details about the SRMR toolbox can be found here: https://github.com/jfsantos/SRMRpy.
Other versions of modulation spectrogram can be found at https://github.com/MuSAELab/amplitude-modulation-analysis-module and https://github.com/MuSAELab/modulation_filterbanks.
This repo is created by Yi Zhu in 2022.