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A Signal-Processing-Based Simulation System for High-End Stereo Headsets.
Zuccante, Anna; Fiordelmondo, Alessandro; Bontempi, Pierluigi; Canazza, Sergio.
Afiliación
  • Zuccante A; Centro di Sonologia Computazionale (CSC), Department of Information Engineering (DEI), University of Padua, Via Gradenigo 6/b, 35131 Padova, Italy.
  • Fiordelmondo A; Centro di Sonologia Computazionale (CSC), Department of Information Engineering (DEI), University of Padua, Via Gradenigo 6/b, 35131 Padova, Italy.
  • Bontempi P; Department of Art History, Film Studies, Media Studies, and Music (DIUM), 33100 Udine, Italy.
  • Canazza S; Centro di Sonologia Computazionale (CSC), Department of Information Engineering (DEI), University of Padua, Via Gradenigo 6/b, 35131 Padova, Italy.
Sensors (Basel) ; 24(7)2024 Mar 29.
Article en En | MEDLINE | ID: mdl-38610401
ABSTRACT
In recent years, headphones have become increasingly popular worldwide. There are numerous models on the market today, varying in technical characteristics and offering different listening experiences. This article presents an application for simulating the sound response of specific headphone models by physically wearing others. In the future, for example, this application could help to guide people who already own a pair of headphones during the decision-making process of purchasing a new headphone model. However, the potential fields of application are much broader. An in-depth study of digital signal processing was carried out with the implementation of a computational model. Prior to this, an analysis was performed on impulse response measurements of specific headphones, which allowed for a better understanding of the behavior of each set of headphones. Finally, an evaluation of the entire system was conducted through a listening test. The analysis of the results showed that the software works reasonably well in replicating the target headphones. We hope that this work will stimulate further efforts in the same direction.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza