pith:K7Z6TWVN
Music Interpretation and Emotion Perception: A Computational and Neurophysiological Investigation
Expressive and improvisational music performances generate unique acoustic features that strengthen emotional responses and increase listener relaxation.
arxiv:2506.01982 v4 · 2025-05-16 · cs.HC · cs.AI
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\usepackage{pith}
\pithnumber{K7Z6TWVNN6EXV55IMRXU6ROCEN}
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Claims
Expressive and improvisational performances exhibited unique acoustic features, while emotion analysis showed stronger emotional responses. Neurophysiological measurements indicated greater relaxation in improvisational performances. This multimodal study highlights the significance of expressivity in enhancing emotional communication and audience engagement.
The study assumes that emotional annotations from performers and audience members accurately reflect true emotional states and communication, and that the chosen neurophysiological measurements reliably indicate emotional perception and relaxation levels without significant confounding variables from the performance setting.
Expressive and improvisational music performances show distinct acoustic features, stronger emotional responses from listeners, and greater relaxation in performers according to neurophysiological data.
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| First computed | 2026-05-26T02:03:51.339167Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
57f3e9daad6f897af7a8646f4f45c22354c538ef090c8587144bf5d95fea9f34
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K7Z6TWVNN6EXV55IMRXU6ROCEN \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 57f3e9daad6f897af7a8646f4f45c22354c538ef090c8587144bf5d95fea9f34
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
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"submitted_at": "2025-05-16T15:30:38Z",
"title_canon_sha256": "1276e822eefba8aa7d8ae8d9df83986f976a604a03dd8ec836fd2321849af171"
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