Parametric analysis of ambisonic audio: contributions to methods, applications and data generation
- Autores: Andrea Pérez López
- Directores de la Tesis: Emilia Gómez (codir. tes.), Adan Garriga Torres (codir. tes.)
- Lectura: En la Universitat Pompeu Fabra ( España ) en 2020
- Idioma: español
- Tribunal Calificador de la Tesis: Xavier Serra Casals (presid.), Máximo Cobos Serrano (secret.), Tuomas Virtanen (voc.)
- Programa de doctorado: Programa de Doctorado en Tecnologías de la Información y las Comunicaciones por la Universidad Pompeu Fabra
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- Resumen
Due to the recent advances in virtual and augmented reality, ambisonics has emerged as the de facto standard for immersive audio. Ambisonic audio can be captured using spherical microphone arrays, which are becoming increasingly popular. Yet, many methods for acoustic and microphone array signal processing are not specifically tailored for spherical geometries. Therefore, there is still room for improvement in the field of automatic analysis and description of ambisonic recordings.
In the present thesis, we tackle this problem using methods based on the parametric analysis of the sound field. Specifically, we present novel contributions in the scope of blind reverberation time estimation, diffuseness estimation, and sound event localization and detection. Furthermore, several software tools developed for ambisonic dataset generation and management are also presented.
