4 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…
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…
Advances in Speech Vocoding for Text-to-Speech with Continuous Parameters
Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh
Vocoders received renewed attention as main components in statistical parametric text-to-speech (TTS) synthesis and speech transformation systems. Even though there are vocoding te…
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…