A Statistical and Spectral Model for Representing Noisy Sounds with Short-Time Sinusoids

Cnss Model: a Statistical and Spectral Model for Representing Noisy Sounds with Short-time Sinusoids

Time scale modification of noises using a spectral and statistical model

Some natural sounds, such as speech parts can essentially be considered as noises. For instance, models suppose noisy parts of sounds as weak parts and apply basic approximations. But transformations such as time stretching doesn’t preserve the noisy characteristics of sounds. Moreover, we show that those transformations introduce artificial intensity variations. In this paper we propose a spec...

A New Algorithm for Bandwidth Association in Bandwidth-Enhanced Additive Sound Modeling

The Bandwidth-Enhanced Additive Model represents sound as a collection of partials having sinusoidal and noise-like characteristics. Bandwidth Association is the process of constructing the bandwidth envelopes for partials in the bandwidth-enhanced model by associating noise energy not captured by conventional sinusoidal modeling processes. We present analytical methods for collecting and assoc...

Real-time Noise Synthesis with Control of the Spectral Density

We propose in this paper a spectral synthesis model to generate noisy sounds with independent control parameters for spectral density and spectral envelope. Algorithms defining in a efficient way these spectral properties from the statistical parameters of the model are presented in details. Real-time implementation is composed of many methods which can be sequenced.

A Novel Method for Detection of Epilepsy in Short and Noisy EEG Signals Using Ordinal Pattern Analysis

Introduction: In this paper, a novel complexity measure is proposed to detect dynamical changes in nonlinear systems using ordinal pattern analysis of time series data taken from the system. Epilepsy is considered as a dynamical change in nonlinear and complex brain system. The ability of the proposed measure for characterizing the normal and epileptic EEG signals when the signal is short or is...