SynthesisCurrent biology : CB2023
Language experience predicts music processing in a half-million speakers of fifty-four languages.
Synthesis in Current biology : CB, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Ecological Momentary Assessment Reveals Causal Effects of Music Enrichment on Infant Mood.Child developmentTrial
- Distinct Rhythmic Competencies Identified via Internet-Based Assessment.Annals of the New York Academy of Sciences · 2026Article
- One test, many tongues: Surveying language proficiency across the globe.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- The properties of panels in global comics: frequency and size of 76 K panels in 1,030 comics from 144 countries.Language resources and evaluation · 2026Article
- Atypical vocal imitation of speech and song in autism spectrum disorder: Evidence from Mandarin speakers.Autism : the international journal of research and practice · 2025Article
- The Expanded Natural History of Song Discography, A Global Corpus of Vocal Music.Open mind : discoveries in cognitive science · 2025Article
- The big three perfectionism scales: A psychometric characterization of a Chinese music student population.PloS one · 2025Article
- Article
- Comparison of speech and music input in North American infants' home environment over the first 2 years of life.Developmental science · 2024Article
- Commonality and variation in mental representations of music revealed by a cross-cultural comparison of rhythm priors in 15 countries.Nature human behaviour · 2024Article
Corrections and comments
- Commented on by
- Erratum issued
Authors and funding
4 authors.
Funding
Abstract
Tonal languages differ from other languages in their use of pitch (tones) to distinguish words. Lifelong experience speaking and hearing tonal languages has been argued to shape auditory processing in ways that generalize beyond the perception of linguistic pitch to the perception of pitch in other domains like music. We conducted a meta-analysis of prior studies testing this idea, finding moderate evidence supporting it. But prior studies were limited by mostly small sample sizes representing a small number of languages and countries, making it challenging to disentangle the effects of linguistic experience from variability in music training, cultural differences, and other potential confounds. To address these issues, we used web-based citizen science to assess music perception skill on a global scale in 34,034 native speakers of 19 tonal languages (e.g., Mandarin, Yoruba). We compared their performance to 459,066 native speakers of other languages, including 6 pitch-accented (e.g., Japanese) and 29 non-tonal languages (e.g., Hungarian). Whether or not participants had taken music lessons, native speakers of all 19 tonal languages had an improved ability to discriminate musical melodies on average, relative to speakers of non-tonal languages. But this improvement came with a trade-off: tonal language speakers were also worse at processing the musical beat. The results, which held across native speakers of many diverse languages and were robust to geographic and demographic variation, demonstrate that linguistic experience shapes music perception, with implications for relations between music, language, and culture in the human mind.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.