6 papers
Retrieving Individual Stems from Music Mixtures with Slot Embeddings
David Braun, Junyi Fan, Pranay Manocha +2
Music producers search libraries of isolated instrument recordings, called stems, for sounds resembling parts of an existing song. Neural retrieval systems address this by mapping…
PrefSQA: Pairwise Preference Prediction for Speech Quality Assessment and the Critical Role of High Quality Datasets
Junyi Fan, Donald S. Williamson
Mean opinion scores (MOS) are widely used for speech quality assessment, yet scalar labels are sensitive to rater variability and listening test differences. This introduces labeli…
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…