  This paper introduces a general and flexible framework for F0 and
aperiodicity (additive non periodic component) analysis, specifically intended
for high-quality speech synthesis and modification applications. The proposed
framework consists of three subsystems: instantaneous frequency estimator and
initial aperiodicity detector, F0 trajectory tracker, and F0 refinement and
aperiodicity extractor. A preliminary implementation of the proposed framework
substantially outperformed (by a factor of 10 in terms of RMS F0 estimation
error) existing F0 extractors in tracking ability of temporally varying F0
trajectories. The front end aperiodicity detector consists of a complex-valued
wavelet analysis filter with a highly selective temporal and spectral envelope.
This front end aperiodicity detector uses a new measure that quantifies the
deviation from periodicity. The measure is less sensitive to slow FM and AM and
closely correlates with the signal to noise ratio.
