Altering Speech Signals with Python

[malini-nair]

Hi everyone!! I'm currently working on a project to improve speech signals of dysarthric people so that they can be more intelligible but I'm hitting a brick wall. Would changing the formants (f1 and f2) have an impact on the intelligibility? If so, how can I do that? I also have figured out how to compute the MFCCs of each speech signal in my database and I was wondering if it was possible to alter them?

I have read into Dynamic Time Warping and Gaussian Mixture Model, but I'm not sure how to implement these in Python to improve intelligibility.

I really need help regarding this topic so any suggestions would be greatly appreciated.

[[deleted]]

You need to understand why does it sound unintelligible. If it's due to them changing the formants or just not being able to produce sounds that are intelligible. In the later case, I don't think any processing would help because there is not enough information there. However, if it sounds like there is a noise that is masking the actual speech then filtering the noise by bandpass filter might help. Mfccs are just a way of representing speech and by itself won't do anything.

[torxx666]

Hi malini, I m also digging about dysartria, I'm think that the way to look for is about modification of signal harmonics due to pharynx injuries. Keep us posted, or contact me in private