When audio is compressed to 64 kbps (using codecs like MP3 or AAC), information is discarded to save space. Research shows this affects deep learning models in the following ways:
In the context of audio processing and deep learning, (kilobits per second) refers to a common low-bitrate threshold used to test the robustness of deep features —the high-dimensional data representations extracted by neural networks from raw audio signals. Impact on Deep Features 64 kbps
: Modern Neural Audio Codecs attempt to learn optimal transformations in a "latent space" (deep features) that provide better sound quality at 64 kbps than traditional codecs like HE-AAC. When audio is compressed to 64 kbps (using