Nonlinear Audio Systems Identification Through Audio Input Gaussianization

"Gaussianization" Method for identification of memoryless nonlinear audio systems

Identification and compensation purposes of nonlinear systems are of interest for many audio processing applications. The analysis of systems under test must be done through realistic audio inputs in order to capture different aspects of the nonlinearity. However, the Gaussianity of the tested signal, is a desirable factor because it guarantees easy implementation and good performances for the ...

Nuance Audio Input Specification_v11_ND

Discrete-time Models for Nonlinear Audio Systems

A variety of computational models have been proposed for digital simulation of nonlinear systems with memory [1, 2, 3, 4]. They are dealing with different aspects of the problem, like methods for identification, avoiding aliasing and fast convolution algorithms. In this paper we shortly sum up some of the common approaches and present a straightforward method for bandlimited discrete-time reali...

Sheet Music-Audio Identification

In this paper, we introduce and discuss the task of sheet music-audio identification. Given a query consisting of a sequence of bars from a sheet music representation, the task is to find corresponding sections within an audio interpretation of the same piece. Two approaches are proposed: a semi-automatic approach using synchronization and a fully automatic approach using matching techniques. A...

Audio-driven Nonlinear Video Diffusion

In this paper we present a novel nonlinear video diffusion approach based on the fusion of information in audio and video channels. Both modalities are efficiently combined into a diffusion coefficient that integrates the basic assumption in this domain, i.e. related events in audio and video channels occur approximately at the same time. The proposed diffusion coefficient depends thus on an es...