This repository has all the files needed so as to perform Speech Enhancement based on a signal Subspace approach.
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Jupyter notebook with results, conclusions and explanations of the code.
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source code
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Images
Instructions:
- In order to test the code one can download the zip "Mini project- Gimena and Mathieu - Subspace" and simply run the CallFunction code.
- The Testing code can be used to draw the graph assessing the performances of the method. (Warning: It might take between 5-10 minutes)
- The jupyter notebook is a file called "SpeechEnhancement.ipynb", in order to see it properly introduce its github link into nbviewer or use the following link: https://nbviewer.jupyter.org/github/GimenaSegrelles/Audio-and-Acoustics-Signal-Processing-Speech-Enhancement-Project/blob/master/Miniproject%20Report/SpeechEnhancement.ipynb
This project was made by Mathieu Lecoq and Gimena Segrelles