12 citations · 22 across the 5 of their papers we have counts for
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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…
Neural Speaker Embeddings for Ultrasound-based Silent Speech Interfaces
Amin Honarmandi Shandiz, László Tóth, Gábor Gosztolya +2
Articulatory-to-acoustic mapping seeks to reconstruct speech from a recording of the articulatory movements, for example, an ultrasound video. Just like speech signals, these recor…
Improving Neural Silent Speech Interface Models by Adversarial Training
Amin Honarmandi Shandiz, László Tóth, Gábor Gosztolya +2
Besides the well-known classification task, these days neural networks are frequently being applied to generate or transform data, such as images and audio signals. In such tasks,…
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…
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…