most citedThe Effect of Perceptual Metrics on Music Representation Learning for Genre Classification

2 citations · 4 across the 5 of their papers we have counts for

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5 papers

cs.SD2024★ 2 cited

The Effect of Perceptual Metrics on Music Representation Learning for Genre Classification

Tashi Namgyal, Alexander Hepburn, Raul Santos-Rodriguez +2

The subjective quality of natural signals can be approximated with objective perceptual metrics. Designed to approximate the perceptual behaviour of human observers, perceptual met…

cs.SD2023

JAMMIN-GPT: Text-based Improvisation using LLMs in Ableton Live

Sven Hollowell, Tashi Namgyal, Paul Marshall

We introduce a system that allows users of Ableton Live to create MIDI-clips by naming them with musical descriptions. Users can compose by typing the desired musical content direc…

cs.SD2023

Data is Overrated: Perceptual Metrics Can Lead Learning in the Absence of Training Data

Tashi Namgyal, Alexander Hepburn, Raul Santos-Rodriguez +2

Perceptual metrics are traditionally used to evaluate the quality of natural signals, such as images and audio. They are designed to mimic the perceptual behaviour of human observe…

cs.SD2023★ 1 cited

MIDI-Draw: Sketching to Control Melody Generation

Tashi Namgyal, Peter Flach, Raul Santos-Rodriguez

We describe a proof-of-principle implementation of a system for drawing melodies that abstracts away from a note-level input representation via melodic contours. The aim is to allo…

cs.SD2023★ 1 cited

What You Hear Is What You See: Audio Quality Metrics From Image Quality Metrics

Tashi Namgyal, Alexander Hepburn, Raul Santos-Rodriguez +2

In this study, we investigate the feasibility of utilizing state-of-the-art image perceptual metrics for evaluating audio signals by representing them as spectrograms. The encourag…