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Specialized in audio signal processing, music information retrieval, musical interfaces, and computational musicology

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Cátedra UPF-BMAT en IA y Música

Harnessing the potential of AI by developing applications and training professionals capable of leading the transformation and renewal of the music sector

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Open-source library and AI models for audio and music analysis

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Back Journal publication of an article on Immersive Audio as a result of the Industrial Doctorate program

Journal publication of an article on Immersive Audio as a result of the Industrial Doctorate program

The article Analysis of spherical isotropic noise fields with an A-Format tetrahedral microphone by Andrés Perez-Lopez, as a result of the collaboration between the MTG and Eurecat in the frame of Industrial Doctorate program, has been published in The Journal of the Acoustical Society of America
07.10.2019

 

Audio is a key feature for immersiveness and envelopment in Virtual and Augmented Reality experiences. 

In cinematic VR/AR productions, audio is captured with spherical microphone arrays (SMAs), which allow the recording of the 3D spatial properties of the sound waves.

The simplest and most common SMA arrangement is the tetrahedron, also known as A-Format microphone.

In this work, the capabilities of A-Format microphones to accurately capture diffuse sound fields are studied. 

A better estimation of the sound field diffuseness might benefit many audio signal processing applications, such as source separation, speech enhancement, noise suppression, dereverberation or auditory scene analysis.

 

Perez-Lopez, A., & Stefanakis, N. (2019). Analysis of spherical isotropic noise fields with an A-Format tetrahedral microphone. The Journal of the Acoustical Society of America, 146(4), EL329–EL334.

 

This article and the associated research has been carried out as a collaboration between MTG and Eurecat in the context of the Industrial Doctorates program of the Catalan Government.

 

The article is published in open access and can be read here: https://asa.scitation.org/doi/10.1121/1.5127736

 
 

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