12 citations · 38 across the 8 of their papers we have counts for
6 papers · 1 filter
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…
Voice Activity Detection for Ultrasound-based Silent Speech Interfaces using Convolutional Neural Networks
Amin Honarmandi Shandiz, László Tóth
Voice Activity Detection (VAD) is not easy task when the input audio signal is noisy, and it is even more complicated when the input is not even an audio recording. This is the cas…
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,…
Reconstructing Speech from Real-Time Articulatory MRI Using Neural Vocoders
Yide Yu, Amin Honarmandi Shandiz, László Tóth
Several approaches exist for the recording of articulatory movements, such as eletromagnetic and permanent magnetic articulagraphy, ultrasound tongue imaging and surface electromyo…
3D Convolutional Neural Networks for Ultrasound-Based Silent Speech Interfaces
László Tóth, Amin Honarmandi Shandiz
Silent speech interfaces (SSI) aim to reconstruct the speech signal from a recording of the articulatory movement, such as an ultrasound video of the tongue. Currently, deep neural…