jeanfeydy
jeanfeydy t1_j7tnqu0 wrote
Reply to [D] Are there any AI model that I can use to improve very bad quality sound recording? Removing noise and improving overall quality by CeFurkan
I used https://audo.ai/noise-removal for my own lectures: it’s more than good enough to make up for a poor microphone and background noise. You can try for free on your own audio samples and see for yourself!
jeanfeydy t1_j2cnd36 wrote
Reply to comment by miss_minutes in [D] GPU-enabled scikit-learn by Realistic-Bed2658
From direct discussions with the sklearn team, note that this may change relatively soon: a GPU engineer funded by Intel was recently added to the core development team. Last time I met with the team in person (6 months ago), the project was to factor some of the most GPU friendly computations out of the sklearn code base, such as K-Nearest Neighbor search or kernel-related computations, and to document an internal API to let external developers easily develop accelerated backends. As shown by e.g. our KeOps library, GPUs are extremely well suited to classical ML and sklearn is the perfect platform to let users fully take advantage of their hardware. Let’s hope that OP’s question will become redundant at some point in 2023-24 :-)
jeanfeydy t1_j7u6o4b wrote
Reply to comment by CeFurkan in [D] Are there any AI model that I can use to improve very bad quality sound recording? Removing noise and improving overall quality by CeFurkan
I see - best of luck with the other solutions then!