144 citations · 404 across the 17 of their papers we have counts for
21 papers
Adaptation of Tacotron2-based Text-To-Speech for Articulatory-to-Acoustic Mapping using Ultrasound Tongue Imaging
Csaba Zainkó, László Tóth, Amin Honarmandi Shandiz +4
For articulatory-to-acoustic mapping, typically only limited parallel training data is available, making it impossible to apply fully end-to-end solutions like Tacotron2. In this p…
Speech Synthesis from Text and Ultrasound Tongue Image-based Articulatory Input
Tamás Gábor Csapó, László Tóth, Gábor Gosztolya +1
Articulatory information has been shown to be effective in improving the performance of HMM-based and DNN-based text-to-speech synthesis. Speech synthesis research focuses traditio…
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…
Molecular Cloud Cores with High Deuterium Fractions: Nobeyama Mapping Survey
Ken'ichi Tatematsu, Gwanjeong Kim, Tie Liu +35
We present the results of on-the-fly mapping observations of 44 fields containing 107 SCUBA-2 cores in the emission lines of molecules, NH, HCN, and CCS at 8294 GHz…
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,…