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1 vote

How to detect acoustic and/or network degradations in speech as early as possible before automatic speech recognition?

This is by no means a trivial problem. And it is manyfold, so it has to be attacked in several ways. Recording level issues For issues of this category, you can just continually scan the signal for ...
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1 vote

How to detect acoustic and/or network degradations in speech as early as possible before automatic speech recognition?

Sounds like what you want is Speech Intelligibility estimation and maybe also Speech Quality estimation, that can operate single-ended (no need for a reference recording). A standard for this used in ...
0 votes

A self-supervised learning technique to denoise my specific signal

I'll assume the frequency content of the noise overlaps the frequency content of your signal of interest (otherwise a fixed filter would work): You might want to look into Weiner noise reduction. ...
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0 votes

How to generate a first order Gauss-Markov process in Python

I believe the problem is that your values for $\beta$ and $\sigma$ are way too small. If I try $$ \beta = 0.01$$ $$\sigma = 0.1$$ then do ...
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2 votes

Where does the following expression for stationary Gaussian Noise come from: $\langle \tilde{n}(f)\tilde{n}(f')\rangle = \delta(f-f')\frac{1}{2}S_n$?

From Probability, Random Variables, and Stochastic Processes, A. Papoulis, McGraw-Hill 1984, p. 306: If the process $\mathbf x(t)$ is WSS with power spectrum $S(\omega)$ then its transform $\mathbf X(...
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