2 papers
eess.AS2026
Enhanced Generative Machine Listener
Vishnu Raj, Gouthaman KV, Shiv Gehlot +2
We present GMLv2, a reference-based model designed for the prediction of subjective audio quality as measured by MUSHRA scores. GMLv2 introduces a Beta distribution-based loss to m…
eess.AS2026
Towards Evaluating Generative Audio: Insights from Neural Audio Codec Embedding Distances
Arijit Biswas, Lars Villemoes
Neural audio codecs (NACs) achieve low-bitrate compression by learning compact audio representations, which can also serve as features for perceptual quality evaluation. We introdu…