4 papers · 1 filter
A Pre-training Framework that Encodes Noise Information for Speech Quality Assessment
Subrina Sultana, Donald S. Williamson
Self-supervised learning (SSL) has grown in interest within the speech processing community, since it produces representations that are useful for many downstream tasks. SSL uses g…
Using RLHF to align speech enhancement approaches to mean-opinion quality scores
Anurag Kumar, Andrew Perrault, Donald S. Williamson
Objective speech quality measures are typically used to assess speech enhancement algorithms, but it has been shown that they are sub-optimal as learning objectives because they do…
AttentiveMOS: A Lightweight Attention-Only Model for Speech Quality Prediction
Imran E Kibria, Donald S. Williamson
Research in modeling subjective metrics for quality assessment has led to the development of no-reference speech models that directly operate on utterance waveforms to predict the…
CORN: Co-Trained Full- And No-Reference Speech Quality Assessment
Pranay Manocha, Donald Williamson, Adam Finkelstein
Perceptual evaluation constitutes a crucial aspect of various audio-processing tasks. Full reference (FR) or similarity-based metrics rely on high-quality reference recordings, to…