An important problem in speech coding framework is model parameters estimation. In most cases parametric speech coding methods do not preserve shape of speech waveform. This fact implies straightforward parameters estimation and analysis-bysynthesis method is hardly used.
A novel analysis-by-synthesis parameters estimation method in speech coders based on harmonic models presented. We introduce improved speech model based on robust harmonic and noise components separation. The separation is performed with usage of Pitch Tracking Modified DFT (PTDFT). Harmonic parameters and pitch frequency are estimated simultaneously in a closed-loop manner based on Harmonic-to-Noise Ratio (HNR).
Bibliographic reference. Pavlovets, Alexander / Petrovsky, Alexander (2011): "Robust HNR-based closed-loop pitch and harmonic parameters estimation", In INTERSPEECH-2011, 1981-1984.