12 citations · 22 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
Applying Speech Tempo-Derived Features, BoAW and Fisher Vectors to Detect Elderly Emotion and Speech in Surgical Masks
Gábor Gosztolya, László Tóth
The 2020 INTERSPEECH Computational Paralinguistics Challenge (ComParE) consists of three Sub-Challenges, where the tasks are to identify the level of arousal and valence of elderly…
Ultrasound-based Articulatory-to-Acoustic Mapping with WaveGlow Speech Synthesis
Tamás Gábor Csapó, Csaba Zainkó, László Tóth +2
For articulatory-to-acoustic mapping using deep neural networks, typically spectral and excitation parameters of vocoders have been used as the training targets. However, vocoding…