1 citations · 1 across the 2 of their papers we have counts for
5 papers
Towards Parametric Speech Synthesis Using Gaussian-Markov Model of Spectral Envelope and Wavelet-Based Decomposition of F0
Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Csaba Zainkó +1
Neural network-based Text-to-Speech has significantly improved the quality of synthesized speech. Prominent methods (e.g., Tacotron2, FastSpeech, FastPitch) usually generate Mel-sp…
Improving Self-Supervised Learning-based MOS Prediction Networks
Bálint Gyires-Tóth, Csaba Zainkó
MOS (Mean Opinion Score) is a subjective method used for the evaluation of a system's quality. Telecommunications (for voice and video), and speech synthesis systems (for generated…
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…
Continuous Wavelet Vocoder-based Decomposition of Parametric Speech Waveform Synthesis
Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Csaba Zainkó +1
To date, various speech technology systems have adopted the vocoder approach, a method for synthesizing speech waveform that shows a major role in the performance of statistical pa…
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…