6 citations · 8 across the 4 of their papers we have counts for
4 papers
Survey on the Evaluation of Generative Models in Music
Alexander Lerch, Claire Arthur, Nick Bryan-Kinns +3
Research on generative systems in music has seen considerable attention and growth in recent years. A variety of attempts have been made to systematically evaluate such systems. We…
AQUATK: An Audio Quality Assessment Toolkit
Ashvala Vinay, Alexander Lerch
Recent advancements in Neural Audio Synthesis (NAS) have outpaced the development of standardized evaluation methodologies and tools. To bridge this gap, we introduce AquaTk, an op…
Evaluating generative audio systems and their metrics
Ashvala Vinay, Alexander Lerch
Recent years have seen considerable advances in audio synthesis with deep generative models. However, the state-of-the-art is very difficult to quantify; different studies often us…
Mind the beat: detecting audio onsets from EEG recordings of music listening
Ashvala Vinay, Alexander Lerch, Grace Leslie
We propose a deep learning approach to predicting audio event onsets in electroencephalogram (EEG) recorded from users as they listen to music. We use a publicly available dataset…