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Monthly Archives: October 2016
Deep learning, part IV (2): Compressing the dynamic range in raw audio signals
In a recent blog post about deep learning based on raw audio waveforms, I showed what effect a naive linear dynamic range compression from 16 bit (65536 possible values) to 8 bit (256 possible values) has on audio quality: Overall perceived quality … Continue reading