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Open source software for tube vocal tract modeling, resonance prediction, illustration, and 3D printing

Song, R.; Beskow, J.; Edlund, J.; Tronnier, M.; Tu, R.; Zhang, K.; Ekstrom, A.

2025-10-16 scientific communication and education
10.1101/2025.10.15.682256 bioRxiv
Show abstract

We present accessible code-free tube vocal tract modeling software. The software implements a transfer function. Applications involve exploratory speech acoustics-based basic research and education in phonetic sciences. The program has been made publicly available and presents researchers and students in speech-centric sciences with easily accessible vocal tract modelling and vowel synthesis.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
PLOS ONE
● 5266 papers in training set
Top 5%
27.6%
Similar papers in this journal
2
The Journal of the Acoustical Society of America
● 35 papers in training set
Top 0.1%
15.8%
Similar papers in this journal
3
Scientific Reports
○ 3612 papers in training set
Top 18%
5.0%
Similar papers in this journal
4
Behavior Research Methods
○ 30 papers in training set
Top 0.1%
5.0%
Similar papers in this journal
50% of probability mass above
5
Journal of Microbiology & Biology Education
● 11 papers in training set
Top 0.1%
3.3%
Similar papers in this journal
6
PLOS Computational Biology
● 1863 papers in training set
Top 11%
2.9%
7
F1000Research
○ 88 papers in training set
Top 0.7%
2.5%
8
Heliyon
○ 152 papers in training set
Top 3%
2.0%
9
Royal Society Open Science
● 214 papers in training set
Top 3%
2.0%
10
eneuro
● 439 papers in training set
Top 4%
1.8%
11
Brain Sciences
○ 55 papers in training set
Top 1.0%
1.4%
12
BioData Mining
○ 22 papers in training set
Top 0.3%
1.2%
13
FEBS Open Bio
○ 31 papers in training set
Top 0.4%
1.2%
14
Ecological Informatics
○ 33 papers in training set
Top 0.5%
1.2%
15
Bioinformatics
◐ 1204 papers in training set
Top 8%
1.1%
16
Frontiers in Psychology
○ 56 papers in training set
Top 1%
1.1%
17
eLife
● 5828 papers in training set
Top 61%
1.1%
18
Bioinformatics Advances
◐ 203 papers in training set
Top 4%
1.1%
19
PLOS Digital Health
● 106 papers in training set
Top 4%
1.0%
20
Acta Crystallographica Section D Structural Biology
● 59 papers in training set
Top 0.4%
1.0%
21
Wellcome Open Research
○ 67 papers in training set
Top 1%
0.9%
22
BMC Research Notes
○ 33 papers in training set
Top 1%
0.9%
23
Developmental Science
○ 14 papers in training set
Top 0.2%
0.9%
24
Frontiers in Neuroscience
○ 256 papers in training set
Top 6%
0.9%
25
ACS Omega
● 105 papers in training set
Top 4%
0.5%
26
PeerJ
◐ 308 papers in training set
Top 13%
0.5%
27
Philosophical Transactions of the Royal Society B
● 51 papers in training set
Top 1%
0.5%
28
Trends in Hearing
○ 15 papers in training set
Top 0.2%
0.5%
29
Frontiers in Artificial Intelligence
○ 20 papers in training set
Top 1.0%
0.5%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.