Download Efficient Parametric Modeling for Audio Transients In this work, we present an evolution of the DDS (Damped & Delayed Sinusoidal) model introduced within the framework of the general signal modeling. This model is named Partial Damped & Delayed Sinusoidal (PDDS) model and takes into account a single time delay parameter for a set of (un)damped sinusoids. This modification is more consistent with the transient audio modeling problem. Then, we develop model parameter high-resolution estimation algorithms. Simulations on a typical transient audio signals show the validity of this approach.
Download EDS Parametric Modeling and Tracking of Audio Signals Despite the success of parametric modeling in various fields of digital signal processing, the Fourier analysis remains a prominent tool for many audio applications. This paper aims at demonstrating the usefulness of the Exponentially Damped Sinusoidal (EDS) model both for analysis/synthesis and tracking purposes.
Download Iterative Method for Harmonic and Exponentially Damped Sinusoidal Models We present two evolutions of the well known Exponentially Damped Sinusoidal model, named HDS (Harmonic Exponentially Damped Sinusoidal) model for single pitch signals and HDSM for multi-pitch signals modeling. Additionally, we propose to use an iterative high-accuracy algorithm to estimate the model parameters. Compared with full or fast implementations of highresolution methods (Matrix Pencil, ESPRIT, Kung’s algorithm, ...), this approach has a lower computational complexity and is well adapted to the Harmonic Damped Sinusoidal models since it takes into account the harmonic relations between the angularfrequencies. In the context of low bit-rate audio coding, we show the validity of this approach on several audio signals.