Shypd.aiThe largest open index of AI toolsaudio-super-res is an audio & music tool that performs audio super-resolution using neural networks. It enhances audio quality by upscaling low-resolution sound patches.
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audio-super-res is an open-source project that implements an audio super-resolution model using neural networks. Based on research from NeurIPS 2019 and ICLR 2017, this Python-based tool allows users to enhance the quality of audio files by generating high-resolution versions from low-resolution inputs. It supports training models on datasets like VCTK for single or multi-speaker scenarios and provides scripts for data preparation and model evaluation. The tool is suitable for researchers and developers interested in audio upscaling, time series tasks, and exploring the effects of different low-pass filters on super-resolution performance.
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