We are building an edge-AI audio noise-reduction system on an ESP32-S3.
Our architecture uses a lightweight GRUNet (~59k parameters) to output a dynamic gain mask on a 44-band Mel-spectrogram.
I need gigabytes of audio to train the model. Does anyone have recommendations for the best open-source datasets for:
1> Clean, isolated human speech.
2> Diverse ambient background noise (traffic, crowds, machinery, etc.).
Also, any tips or open-source scripts for artificially mixing these at different Signal-to-Noise Ratios (SNRs) before generating the 16kHz Mel-spectrograms would be hugely appreciated!
submitted by /u/saikat_munshib
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