Johan Sjons

2 papers on this site · 2026

current affiliationUppsala University, Uppsala, Sweden

Johan Sjons has 2 papers on this site, in 2026; often with Axel G. Ekstrom.

The profile is the library's match of the name; two people with one name are not always told apart.

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

The most cited first (OpenAlex and our library).

Neural Network-assisted Analysis of Tube Vocal Tract Models (2026 · 1 citation)
The paper introduces DeepVocalTube (DVT), a methodological pipeline that uses neural networks to study how the shape of a segmented acoustic tube, a classic simplified model of the vocal tract, determines its resonances (formants).
How Much Data for Stable Formant Values? Pipeline for Convergence Detection Based on Read Speech (2026)
Vowel formant studies usually measure short, isolated utterances recorded in a lab. This leaves an open question: how many vowel tokens are needed before a speaker's average F1, F2 and F3 stop changing in a meaningful way? The authors address it with a large corpus of English audiobooks, 3,384 chapters totalling…

5 more works of theirs are in our library without a page here yet; they will appear as we publish them.

1 co-author with a page, the most papers together first.

Papers of our library cite their works 6 times (of the 140 884 papers whose bibliographies we read); 2 citing papers with a page here →.