3 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…