3 citations · 4 across the 6 of their papers we have counts for
3 papers · 1 filter
Evaluating Objective Speech Quality Metrics for Neural Audio Codecs
Luca A. Lanzendörfer, Florian Grötschla
Neural audio codecs have gained recent popularity for their use in generative modeling as they offer high-fidelity audio reconstruction at low bitrates. While human listening studi…
Siamese SIREN: Audio Compression with Implicit Neural Representations
Luca A. Lanzendörfer, Roger Wattenhofer
Implicit Neural Representations (INRs) have emerged as a promising method for representing diverse data modalities, including 3D shapes, images, and audio. While recent research ha…
DISCO-10M: A Large-Scale Music Dataset
Luca A. Lanzendörfer, Florian Grötschla, Emil Funke +1
Music datasets play a crucial role in advancing research in machine learning for music. However, existing music datasets suffer from limited size, accessibility, and lack of audio…