Shepard's universal law of generalization is a remarkable hypothesis abo...
Conducting experiments with diverse participants in their native languag...
Understanding the extent to which the perceptual world can be recovered ...
Learning transferable representations by training a classifier is a
well...
Diffusion models are a class of generative models that learn to synthesi...
Recent advances in multimodal training use textual descriptions to
signi...
The human voice effectively communicates a range of emotions with nuance...
Recent advances in neural text-to-speech research have been dominated by...
Novel text-to-speech systems can generate entirely new voices that were ...
Similarity judgments provide a well-established method for accessing men...
Do people from different cultural backgrounds perceive the mood in music...
Developments in machine learning interpretability techniques over the pa...
Recent TTS systems are able to generate prosodically varied and realisti...
A core problem in cognitive science and machine learning is to understan...