They are from old (reel-to-reel) tapes, with some kind of NR/noise gate, and low-bitrate compression.
Maybe I could make a dataset of original and (simulated) degraded recordings by running clean recordings through this cassette-tape simulator VST plugin?
Hi,
You can try to train the model on datasets with similar noise.
Alternatively, you can try to run the predict pipeline as is, but this may not work as AERO is not robust to audio from different sources.
Hello, I wondered if you might have a comment on how to improve the clarity of recordings such as these: https://fsi-languages.yojik.eu/languages/FSI/fsi-french-basic.html
They are from old (reel-to-reel) tapes, with some kind of NR/noise gate, and low-bitrate compression.
Maybe I could make a dataset of original and (simulated) degraded recordings by running clean recordings through this cassette-tape simulator VST plugin?
https://www.wavesfactory.com/audio-plugins/cassette/ https://github.com/teragonaudio/MrsWatson
Thanks for your time.