activity
20192026
most citedHigh-Quality Vocoding Design with Signal Processing for Speech Synthesis and Voice Conversion

2 citations · 2 across the 6 of their papers we have counts for

collaborators

10 papers

eess.SP2026

Brain-to-Speech: Prosody Feature Engineering and Transformer-Based Reconstruction

Mohammed Salah Al-Radhi, Géza Németh, Andon Tchechmedjiev +1

This chapter presents a novel approach to brain-to-speech (BTS) synthesis from intracranial electroencephalography (iEEG) data, emphasizing prosody-aware feature engineering and ad…

cs.SD2026

Prosody-Guided Harmonic Attention for Phase-Coherent Neural Vocoding in the Complex Spectrum

Mohammed Salah Al-Radhi, Riad Larbi, Mátyás Bartalis +1

Neural vocoders are central to speech synthesis; despite their success, most still suffer from limited prosody modeling and inaccurate phase reconstruction. We propose a vocoder th…

cs.SD2025

MiSTR: Multi-Modal iEEG-to-Speech Synthesis with Transformer-Based Prosody Prediction and Neural Phase Reconstruction

Mohammed Salah Al-Radhi, Géza Németh, Branislav Gerazov

Speech synthesis from intracranial EEG (iEEG) signals offers a promising avenue for restoring communication in individuals with severe speech impairments. However, achieving intell…

cs.SD2022

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…

cs.SD2021

Speaker Adaptation with Continuous Vocoder-based DNN-TTS

Ali Raheem Mandeel, Mohammed Salah Al-Radhi, Tamás Gábor Csapó

Traditional vocoder-based statistical parametric speech synthesis can be advantageous in applications that require low computational complexity. Recent neural vocoders, which can p…

cs.SD2021

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…

cs.SD2021

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…

cs.SD2021★ 2 cited

High-Quality Vocoding Design with Signal Processing for Speech Synthesis and Voice Conversion

Mohammed Salah Al-Radhi

This Ph.D. thesis focuses on developing a system for high-quality speech synthesis and voice conversion. Vocoder-based speech analysis, manipulation, and synthesis plays a crucial…

cs.SD2019

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…

cs.SD2019

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)…