REAL

Towards Ultrasound Tongue Image prediction from EEG during speech production

Csapó, Tamás Gábor and Arthur, Frigyes Viktor and Nagy, Péter and Boncz, Ádám (2023) Towards Ultrasound Tongue Image prediction from EEG during speech production. In: INTERSPEECH 2023. ISCA, pp. 1164-1168.

[img]
Preview
Text
Csapo-et-al-interspeech2023.pdf

Download (1MB) | Preview

Abstract

Previous initial research has already been carried out to propose speech-based BCI using brain signals (e.g. non-invasive EEG and invasive sEEG / ECoG), but there is a lack of combined methods that investigate non-invasive brain, articulation, and speech signals together and analyze the cognitive processes in the brain, the kinematics of the articulatory movement and the resulting speech signal. In this paper, we describe our multimodal (electroencephalography, ultrasound tongue imaging, and speech) analysis and synthesis experiments, as a feasibility study. We extend the analysis of brain signals recorded during speech production with ultrasound-based articulation data. From the brain signal measured with EEG, we predict ultrasound images of the tongue with a fully connected deep neural network. The results show that there is a weak but noticeable relationship between EEG and ultrasound tongue images, i.e. the network can differentiate articulated speech and neutral tongue position.

Item Type: Book Section
Additional Information: 24th INTERSPEECH Conference 2023; Konferencia helye, ideje: Dublin, Írország 2023.08.20. - 2023.08.24.
Uncontrolled Keywords: ultrasound, EEG, brain-computer interface
Subjects: P Language and Literature / nyelvészet és irodalom > P0 Philology. Linguistics / filológia, nyelvészet
T Technology / alkalmazott, műszaki tudományok > T2 Technology (General) / műszaki tudományok általában
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 19 Sep 2023 08:49
Last Modified: 19 Sep 2023 08:49
URI: http://real.mtak.hu/id/eprint/173951

Actions (login required)

Edit Item Edit Item