A – Idiosyncratic voice signal analysis and modeling
A.1 – Dysphonic voice database and feature characterization
A.2 – Accurate harmonic analysis and modeling of natural voiced sounds
A.3 – Accurate vocal tract filter modeling
A.4 – Accurate glottal source estimation and modeling
A.5 – Adaptive phonetic segmentation techniques in dysphonic voice
B – Perceptually natural synthesis of periodic voicing components
B.1 – Accurate vocal tract filter reconstruction
B.2 – Perceptually natural voicing implantation and prosodic control
C – DyNaVoiceR system integration and real-time implementation
D – DyNaVoiceR usability tests and fine-tuning
E – Management
Milestones
M1 – A database of dysphonic and normal Portuguese phonemes and representative features (A.1), acoustic data near the vocal folds and glottal excitation models (A.4)
M2 – Accurate vocal tract filter models and dysphonic-normal mapping rules (A.3)
M3 – Harmonic parametric models and idiosyncratic features (A.2), adaptive segmentation algorithms (A.5)
M4 – Accurate vocal tract filter reconstruction algorithms (B.1)
M5 – Accurate artificial voicing implantation algorithms (B.2)
M6 – DyNaVoiceR proof of concept, demo and app (C and D)