ArticleNature human behaviour2021
Learning metrics on spectrotemporal modulations reveals the perception of musical instrument timbre.
Article in Nature human behaviour, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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Who cites it
12 citing papers in PubMed.
- Music Enjoyment in Hearing Loss: Beyond Auditory Perception.Brain sciences · 2026Review
- A flexible behavioral method for measuring human and artificial intelligence alignment using representational similarity analysis.iScience · 2026Article
- Music mindfulness acutely modulates autonomic activity and improves psychological state in anxiety and depression.Frontiers in neuroscience · 2025Article
- Sleep deprivation detected by voice analysis.PLoS computational biology · 2024Article
- Exploring quantitative indices to characterize piano timbre with precision validated using measurement system analysis.Frontiers in psychology · 2024Article
- Hearing as adaptive cascaded envelope interpolation.Communications biology · 2023Article
- Shared mental representations underlie metaphorical sound concepts.Scientific reports · 2023Article
- Describing movement learning using metric learning.PloS one · 2023Article
- Music in the brain.Nature reviews. Neuroscience · 2022Review
- Analysis of Erhu Performance Effect in Public Health Music Works Based on Artificial Intelligence Technology.Journal of environmental and public health · 2022Article
- Adaptive auditory brightness perception.Scientific reports · 2021Article
- Spectrotemporal Modulation Sensitivity in Speech and Melody Processing Among Mandarin Speakers.Ear and hearingArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Humans excel at using sounds to make judgements about their immediate environment. In particular, timbre is an auditory attribute that conveys crucial information about the identity of a sound source, especially for music. While timbre has been primarily considered to occupy a multidimensional space, unravelling the acoustic correlates of timbre remains a challenge. Here we re-analyse 17 datasets from published studies between 1977 and 2016 and observe that original results are only partially replicable. We use a data-driven computational account to reveal the acoustic correlates of timbre. Human dissimilarity ratings are simulated with metrics learned on acoustic spectrotemporal modulation models inspired by cortical processing. We observe that timbre has both generic and experiment-specific acoustic correlates. These findings provide a broad overview of former studies on musical timbre and identify its relevant acoustic substrates according to biologically inspired models.
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Registered trials
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