CoVox: A dataset of contrasting vocalizations DOI Creative Commons
Camila Bruder, Pauline Larrouy-Maestri

Behavior Research Methods, Journal Year: 2025, Volume and Issue: 57(5)

Published: April 11, 2025

Abstract The human voice is remarkably versatile and can vary greatly in sound depending on how it used. An increasing number of studies have addressed the differences similarities between singing speaking voice. However, finding adequate stimuli material that at same time controlled ecologically valid challenging, most datasets lack variability terms vocal styles performed by Here, we describe a curated stimulus set vocalizations where 22 female singers melody excerpts three contrasting (as lullaby, as pop song, an opera aria) spoke text aloud two if to adult or infant). All productions were made with songs’ original lyrics, Brazilian Portuguese, a/lu/sound. This dataset 1320 was validated through forced-choice lab experiment ( N = 25 for each stimulus) lay listeners could recognize intended vocalization style high accuracy (proportion correct recognition superior 69% all styles). We also provide acoustic characterization stimuli, depicting clear profiles vocalization. recordings are freely available under Creative Commons license be downloaded https://osf.io/cgexn/ .

Language: Английский

Is song processing distinct and special in the auditory cortex? DOI
Ilana Harris, Efe C. Niven, Alex Griffin

et al.

Nature reviews. Neuroscience, Journal Year: 2023, Volume and Issue: 24(11), P. 711 - 722

Published: Oct. 2, 2023

Language: Английский

Citations

11

Privileged representational axes in biological and artificial neural networks DOI Creative Commons
Meenakshi Khosla, Alex H. Williams,

Josh H. McDermott

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 20, 2024

Abstract How do neurons code information? Recent work emphasizes properties of population codes, such as their geometry and decodable information, using measures that are blind to the native tunings (or ‘axes’) neural responses. But might these representational axes matter, with some privileged systematically over others? To find out, we developed methods test for alignment tuning across brains deep convolutional networks (DCNNs). Across both vision audition, DCNNs consistently favored certain representing natural world. Moreover, trained on inputs were aligned those in perceptual cortices, axis-sensitive model-brain similarity metrics better differentiated competing models biological sensory systems. We further show coding schemes privilege can reduce downstream wiring costs improve generalization. These results motivate a new framework understanding artificial its computational benefits.

Language: Английский

Citations

4

Speech and music recruit frequency-specific distributed and overlapping cortical networks DOI Creative Commons
Noémie te Rietmolen, Manuel Mercier, Agnès Trébuchon

et al.

eLife, Journal Year: 2024, Volume and Issue: 13

Published: July 22, 2024

To what extent does speech and music processing rely on domain-specific domain-general neural networks? Using whole-brain intracranial EEG recordings in 18 epilepsy patients listening to natural, continuous or music, we investigated the presence of frequency-specific network-level brain activity. We combined it with a statistical approach which clear operational distinction is made between shared , preferred, domain- selective responses. show that majority focal activity processing. Our data also reveal an absence anatomical regional selectivity. Instead, domain-selective responses are restricted distributed coherent oscillations, typical spectral fingerprints. work highlights importance considering natural stimuli dynamics their full complexity map cognitive functions.

Language: Английский

Citations

4

Milestones in the development of music and language DOI
Anthony Brandt,

Molly Gebrian,

L. Robert Slevc

et al.

Oxford University Press eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: March 20, 2025

Abstract The human brain continues to mature throughout childhood, making our species particularly susceptible experience. Given the diversity of music and language around globe, how these are acquired during childhood is revealing about feedback loop between biological predispositions exposure. Evidence suggests that children begin as generalists become specialists, with deeply entangled in infancy modularity emerging over time. In addition, development proceeds along parallel tracks, comparable cognitive milestones. Although there a tendency celebrate precociousness, it may be we should really extol slow protected aspects development: unfledged entry into world affords us extended time necessary internalize products culture. present chapter begins by exploring variety languages world. It then tracks developmental milestones from birth examines linked disorders, closes discussion open questions future directions.

Language: Английский

Citations

0

CoVox: A dataset of contrasting vocalizations DOI Creative Commons
Camila Bruder, Pauline Larrouy-Maestri

Behavior Research Methods, Journal Year: 2025, Volume and Issue: 57(5)

Published: April 11, 2025

Abstract The human voice is remarkably versatile and can vary greatly in sound depending on how it used. An increasing number of studies have addressed the differences similarities between singing speaking voice. However, finding adequate stimuli material that at same time controlled ecologically valid challenging, most datasets lack variability terms vocal styles performed by Here, we describe a curated stimulus set vocalizations where 22 female singers melody excerpts three contrasting (as lullaby, as pop song, an opera aria) spoke text aloud two if to adult or infant). All productions were made with songs’ original lyrics, Brazilian Portuguese, a/lu/sound. This dataset 1320 was validated through forced-choice lab experiment ( N = 25 for each stimulus) lay listeners could recognize intended vocalization style high accuracy (proportion correct recognition superior 69% all styles). We also provide acoustic characterization stimuli, depicting clear profiles vocalization. recordings are freely available under Creative Commons license be downloaded https://osf.io/cgexn/ .

Language: Английский

Citations

0