audio-super-res

The Audio Super Resolution tool implements a neural network model aimed at enhancing the resolution of audio signals by converting low-resolution audio patches into high-resolution counterparts. Utilizing TensorFlow and Keras, it features a preparation pipeline for dataset generation, including functionalities for patch extraction and pre-processing parameters such as scaling and audio sampling rates, essential for training and validating the model effectively.