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Found 15 papers, 1 papers with code
A Rational Analysis of the Speech-to-Song Illusion
Here we provide a formal account of this phenomenon, by recasting it as a statistical inference whereby a rational agent attempts to decide whether a sequence of utterances is more likely to have been produced in a song or speech.
Getting aligned on representational alignment
Finally, we lay out open problems in representational alignment where progress can benefit all three of these fields.
The Universal Law of Generalization Holds for Naturalistic Stimuli
Shepard's universal law of generalization is a remarkable hypothesis about how intelligent organisms should perceive similarity.
Around the world in 60 words: A generative vocabulary test for online research
Six behavioral experiments (N=236) in six countries and eight languages show that (a) our test can distinguish between native speakers of closely related languages, (b) the test is reliable ($r=0. 82$), and (c) performance strongly correlates with existing tests (LexTale) and self-reports.
Large language models predict human sensory judgments across six modalities
Determining the extent to which the perceptual world can be recovered from language is a longstanding problem in philosophy and cognitive science.
On the Informativeness of Supervision Signals
Supervised learning typically focuses on learning transferable representations from training examples annotated by humans.
Analyzing Diffusion as Serial Reproduction
Diffusion models are a class of generative models that learn to synthesize samples by inverting a diffusion process that gradually maps data into noise.
Words are all you need? Language as an approximation for human similarity judgments
Based on the results of this comprehensive study, we provide a concise guide for researchers interested in collecting or approximating human similarity data.
Bridging the prosody GAP: Genetic Algorithm with People to efficiently sample emotional prosody
The human voice effectively communicates a range of emotions with nuanced variations in acoustics.
WavThruVec: Latent speech representation as intermediate features for neural speech synthesis
Recent advances in neural text-to-speech research have been dominated by two-stage pipelines utilizing low-level intermediate speech representation such as mel-spectrograms.
Predicting Human Similarity Judgments Using Large Language Models
Similarity judgments provide a well-established method for accessing mental representations, with applications in psychology, neuroscience and machine learning.
Cross-cultural Mood Perception in Pop Songs and its Alignment with Mood Detection Algorithms
Do people from different cultural backgrounds perceive the mood in music the same way?
Passive Attention in Artificial Neural Networks Predicts Human Visual Selectivity
Similarly, we find that recognition performance in the same ANN models was likewise influenced by masking input images using human visual selectivity maps.
Exploring emotional prototypes in a high dimensional TTS latent space
Recent TTS systems are able to generate prosodically varied and realistic speech.
Gibbs Sampling with People
We formulate both methods from a utility-theory perspective, and show that the new method can be interpreted as 'Gibbs Sampling with People' (GSP).
