8 citations · 8 across the 1 of their papers we have counts for
4 papers
Self-Attention Networks for Intent Detection
Sevinj Yolchuyeva, Géza Németh, Bálint Gyires-Tóth
Self-attention networks (SAN) have shown promising performance in various Natural Language Processing (NLP) scenarios, especially in machine translation. One of the main points of…
Transformer based Grapheme-to-Phoneme Conversion
Sevinj Yolchuyeva, Géza Németh, Bálint Gyires-Tóth
Attention mechanism is one of the most successful techniques in deep learning based Natural Language Processing (NLP). The transformer network architecture is completely based on a…
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…
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)…