Search Results for author: Nori Jacoby

Found 15 papers, 1 papers with code

A Rational Analysis of the Speech-to-Song Illusion

no code implementations10 Feb 2024 Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Harin Lee, Thomas L. Griffiths, Nori Jacoby

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.


The Universal Law of Generalization Holds for Naturalistic Stimuli

no code implementations14 Jun 2023 Raja Marjieh, Nori Jacoby, Joshua C. Peterson, Thomas L. Griffiths

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

no code implementations3 Feb 2023 Pol van Rijn, Yue Sun, Harin Lee, Raja Marjieh, Ilia Sucholutsky, Francesca Lanzarini, Elisabeth André, Nori Jacoby

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.

Cultural Vocal Bursts Intensity Prediction

Large language models predict human sensory judgments across six modalities

no code implementations2 Feb 2023 Raja Marjieh, Ilia Sucholutsky, Pol van Rijn, Nori Jacoby, Thomas L. Griffiths

Determining the extent to which the perceptual world can be recovered from language is a longstanding problem in philosophy and cognitive science.


Analyzing Diffusion as Serial Reproduction

no code implementations29 Sep 2022 Raja Marjieh, Ilia Sucholutsky, Thomas A. Langlois, Nori Jacoby, Thomas L. Griffiths

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

no code implementations8 Jun 2022 Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Theodore R. Sumers, Harin Lee, Thomas L. Griffiths, Nori Jacoby

Based on the results of this comprehensive study, we provide a concise guide for researchers interested in collecting or approximating human similarity data.

Contrastive Learning Information Retrieval +2

Bridging the prosody GAP: Genetic Algorithm with People to efficiently sample emotional prosody

no code implementations10 May 2022 Pol van Rijn, Harin Lee, Nori Jacoby

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

no code implementations31 Mar 2022 Hubert Siuzdak, Piotr Dura, Pol van Rijn, Nori Jacoby

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.

Speech Synthesis Voice Conversion

Predicting Human Similarity Judgments Using Large Language Models

no code implementations9 Feb 2022 Raja Marjieh, Ilia Sucholutsky, Theodore R. Sumers, Nori Jacoby, Thomas L. Griffiths

Similarity judgments provide a well-established method for accessing mental representations, with applications in psychology, neuroscience and machine learning.

Passive Attention in Artificial Neural Networks Predicts Human Visual Selectivity

1 code implementation NeurIPS 2021 Thomas A. Langlois, H. Charles Zhao, Erin Grant, Ishita Dasgupta, Thomas L. Griffiths, Nori Jacoby

Similarly, we find that recognition performance in the same ANN models was likewise influenced by masking input images using human visual selectivity maps.

Gibbs Sampling with People

no code implementations NeurIPS 2020 Peter M. C. Harrison, Raja Marjieh, Federico Adolfi, Pol van Rijn, Manuel Anglada-Tort, Ofer Tchernichovski, Pauline Larrouy-Maestri, Nori Jacoby

We formulate both methods from a utility-theory perspective, and show that the new method can be interpreted as 'Gibbs Sampling with People' (GSP).

Image Generation Navigate

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