5 citations · 8 across the 4 of their papers we have counts for
6 papers
Towards Ultrasound Tongue Image prediction from EEG during speech production
Tamás Gábor Csapó, Frigyes Viktor Arthur, Péter Nagy +1
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 comb…
Adaptation of Tongue Ultrasound-Based Silent Speech Interfaces Using Spatial Transformer Networks
László Tóth, Amin Honarmandi Shandiz, Gábor Gosztolya +1
Thanks to the latest deep learning algorithms, silent speech interfaces (SSI) are now able to synthesize intelligible speech from articulatory movement data under certain condition…
Ultrasound-based Silent Speech Interface Built on a Continuous Vocoder
Tamás Gábor Csapó, Mohammed Salah Al-Radhi, Géza Németh +4
Recently it was shown that within the Silent Speech Interface (SSI) field, the prediction of F0 is possible from Ultrasound Tongue Images (UTI) as the articulatory input, using Dee…
DNN-based Acoustic-to-Articulatory Inversion using Ultrasound Tongue Imaging
Dagoberto Porras, Alexander Sepúlveda-Sepúlveda, Tamás Gábor Csapó
Speech sounds are produced as the coordinated movement of the speaking organs. There are several available methods to model the relation of articulatory movements and the resulting…
RNN-based speech synthesis using a continuous sinusoidal model
Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh
Recently in statistical parametric speech synthesis, we proposed a continuous sinusoidal model (CSM) using continuous F0 (contF0) in combination with Maximum Voiced Frequency (MVF)…
Autoencoder-Based Articulatory-to-Acoustic Mapping for Ultrasound Silent Speech Interfaces
Gábor Gosztolya, Ádám Pintér, László Tóth +3
When using ultrasound video as input, Deep Neural Network-based Silent Speech Interfaces usually rely on the whole image to estimate the spectral parameters required for the speech…