Source‐Filter Processing

Parametric model of spectral envelope to synthesize realistic intensity variations in singing voice

“…Prior research on singing processing/synthesis generally focus on artifact reduction [8], formant preservation [4] [9], realistic f 0 evolution [10] [11], etc. since these aspects are important to achieve a natural result.…”

Time‐Segment Processing

“…It can be performed by a combination of time-scaling and resampling. In order to preserve the timbre and the spectral envelope [AKZ02b], the phase vocoder decomposes the signal into source and filter for each analysis block: the formants are pre-corrected (in the frequency domain [AD98]), the source signal is resampled (in the time domain) and phases are wrapped between two successive blocks (in the frequency domain). The PSOLA technique preserves the spectral envelope [BJ95,ML95], and performs pitch-shifting by using a synthesis step increment that differs from the analysis step increment.…”

“…• The texture, related to jitter and shimmer of partials/harmonics [DT96] (resulting from a statistical analysis of the partials' frequencies and amplitudes), to the balance of odd/even harmonics (given as the peak of the normalized autocorrelation sequence situated half way between the first-and second-highest peak values [AKZ02b]) and to harmonicity…”

“…It consists in modifying the spectral envelope by filtering with the gains of a constant-Q filter bank. Shifting, scaling or warping of the spectral envelope is often used for voice sounds since it changes the formant places, yielding to the so-called Donald Duck effect [AKZ02b].…”

Voice Parameter Analysis for the disease detection

“…Estimation of voice features from a sample is based on a linear combination of its previous samples (4). The LPC implements the design of Vocoder (an analysis scheme where the spectrum of a source signal is weighted by the spectral components) [49]. Spectral envelope extraction achieved by LPC analysis is very accurate.…”