5.7.2 Datasets
This section provides an overview of the diverse datasets utilized in Audio Super Resolution
literature. One of the most frequently used datasets is the MUSDB18, specifically designed for
music source separation and enhancement. This dataset encompasses more than 150 songs with
distinct tracks for individual instruments. Another prominent dataset is UrbanSound8K, which
comprises over, 8000 environmental sound files collected from 10 different categories, making it
ideal for evaluating Audio Super Resolution algorithms in noisy environments. Furthermore, the
VoiceBank dataset is another essential resource for evaluating Audio Super Resolution systems,
comprising over 10,000 speech recordings from five distinct speakers. This dataset offers a rich
source of information for assessing speech processing systems, including Audio Super Resolution.
Another dataset, LibriSpeech, features more than 1000 hours of spoken words from several books
AReviewofDeepLearningTechniquesforSpeechProcessing