Skip to content
#human-computer interaction Preprint Open access

No speech articulator robustly favours retroauricular electrodes over canonical jaw sites: a volume-conductor model with orientation and electrode-count controls

Carl Vincent Kho
Oct 2026
Human-computer Interaction

Abstract

Objective. Ear-worn biopotential devices are being designed around a coupling that has not been computed: how strongly each speech articulator reaches electrodes on the jaw and around the ear. We compute it, and test the answer against the three things that could produce it spuriously - source orientation, electrode count, and the level of anatomical detail in the volume conductor. Approach. Articulator-to-electrode coupling is computed by reciprocity on MIDA, a head model with 116 labelled compartments at 500 microns, treating muscle as both the generator and its own conducting compartment. Twenty-two electrode positions - spanning the canonical jaw montage, a retroauricular cluster, and a cEEGrid C-path - are compared against ten individually segmented articulators. Source orientation is swept over the hemisphere, not assumed, and every comparison is repeated at matched electrode counts. Results. Five articulators - orbicularis oris, buccinator, mentalis, depressor anguli oris, and platysma - favour the jaw montage at every sampled orientation and at every electrode subsample. No muscle robustly favours the retroauricular montage. The strongest ear-leaning candidate, temporalis, reaches -2.57 dB under a uniform orientation sweep; but derived from the label volume, its fibre field gives -1.15 dB with an interval of [-1.45, +5.46], and only half of four-site retroauricular subsets favour the ear. Significance. For device design the result is one-sided, not a trade: a retroauricular montage loses lip and chin activity entirely and buys no muscle back reliably in exchange. What remains a design lever is placement - a four-site cluster chosen by anatomical target outperforms arbitrary placement around the ear by up to 1.07 dB.

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Jun 2008

The impact of agile practices on communication in software development

The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.

M. Pikkarainen, Jukka Haikara, O. Salo et al. · 401 citations · ⚡48
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54

Related blog posts

Microsoft Research Blog Nov 5, 2026

Formally verifying agent-written full-stack web apps with PDD Kit

AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…

MIT News · Artificial Intelligence Oct 28, 2026

Making machines that can listen

Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.

MIT News · Artificial Intelligence Oct 23, 2026

Reinforcing the value of human understanding at MIT

During the School of Humanities, Arts, and Social Sciences’ 75th Anniversary Symposium, President Sally Kornbluth said “MIT has never needed your particular insight and guidance more than we do now.”

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.