Paper dossier

High-Resolution Directivity Measurements of an Artificial Head and Mouth Shaped to Three Vowels

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Paper year

2026

Citations

0

Authors

5

Topic labels

3

Source readout

Source and corpus status

Venue

Journal of the Audio Engineering Society

Source slug

jaes

Corpus placement

Core corpus

Similarity rows

Not available yet

Ranking readout

Where this paper lands in the current run

Run shadow-generalization-product-candidate-ranking-v1Top 50 surfaced

This block uses the same resolved ranking run as Recommended. Ranks here are materialized paper_scores ranks; live Emerging may be reordered by the bounded ML scorer. Family rank is global within each family, but rank is only shown when this paper lands inside the surfaced top 50.

Families present

3

Top 50

3

Run label

shadow-generalization-product-candidate-ranking-v1

Snapshot

source-snapshot-shadow-generalization-v1-20260521

Scope: family global | run rank-83787b91ef

Emerging

In top 50 at rank 37

0.430

Emerging: embedding slice fit vs included-corpus centroid (title+abstract), plus citation velocity and topic growth; not universal relevance. Bridge signal not used here.

Signals: semantic=0.7983, citation_velocity=0.0000, topic_growth=0.9000, diversity_penalty=0.0000

Why this surfaced | 3 used | 1 penalty | 1 not computed
Embedding slice fit (corpus centroid)used

Embedding slice fit (corpus centroid): high; used in final ranking (contribution to score: 0.1597)

Recent attentionused

Recent attention: low; used in final ranking (contribution to score: 0.0000)

Topic momentumused

Topic momentum: high; used in final ranking (contribution to score: 0.2700)

Cross-cluster signalnot computed

Cross-cluster signal: not computed for this run

Similarity penaltypenalty

Similarity penalty: reduces score when non-zero (contribution to score: 0.0000)

Bridge

In top 50 at rank 15

0.585

Multi-topic paper in active topics; no cluster_version on this run so bridge_score was not computed.

Signals: citation_velocity=0.0000, topic_growth=0.9000, diversity_penalty=0.0000

Why this surfaced | 2 used | 1 penalty | 2 not computed
Semantic matchnot computed

Semantic match: not computed for this run

Recent attentionused

Recent attention: low; used in final ranking (contribution to score: 0.0000)

Topic momentumused

Topic momentum: high; used in final ranking (contribution to score: 0.5850)

Cross-cluster signalnot computed

Cross-cluster signal: not computed for this run

Topic breadth penaltypenalty

Topic breadth penalty: reduces score when non-zero (contribution to score: 0.0000)

Under-cited

In top 50 at rank 9

0.630

Low-cite candidate pool (see docs/candidate-pool-low-cite.md v0): core corpus, recency floor, citation ceiling, title+abstract gate; popularity penalty among pool members only. Semantic and bridge not yet modeled.

Signals: citation_velocity=0.0000, topic_growth=0.9000, diversity_penalty=0.0000

Why this surfaced | 2 used | 1 penalty | 2 not computed
Semantic matchnot computed

Semantic match: not computed for this run

Recent attentionused

Recent attention: low; used in final ranking (contribution to score: 0.0000)

Topic momentumused

Topic momentum: high; used in final ranking (contribution to score: 0.6300)

Cross-cluster signalnot computed

Cross-cluster signal: not computed for this run

Pool popularity penaltypenalty

Pool popularity penalty: reduces score when non-zero (contribution to score: 0.0000)

Abstract

The directivity of the human voice has been studied since the early twentieth century using different measurement systems with progressively higher spatial resolution. Artificial heads and mouths have been used because of their ability to repeat a given sound production, hence allowing sequential measurements of directivity with a reduced number of microphones and still achieving high spatial resolution. Unlike most artificial heads, whose external geometry is abstracted, this study uses a custom 3D-printed head with detailed geometry and three different mouth openings, all based on 3D scans from magnetic resonance imaging data. The impulse response measurements were performed using a 3D robotic arm, resulting in directivity data with 5° resolution in both azimuth and elevation. The measured directivity patterns are consistent with previous research on energy distribution in space over angles (azimuth and elevation) and frequency, with a higher spatial resolution and for different mouth shapes. The resulting data set is made available in several standardized file formats to facilitate accurate voice directivity simulations in virtual acoustic environments.

Authors

  • Paul Luizard
  • Julie Daudre
  • Martin Schneider
  • David Ackermann
  • Stefan Weinzierl

Neighborhood labels

Topics

3 labels

Topic labels are imported metadata and can be noisy; use them as coarse navigation hints, not authoritative classifications.

Voice and Speech DisordersPhonetics and Phonology ResearchHearing Loss and Rehabilitation

Neighbor surface

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