Audlet Filter Banks: A Versatile Analysis/Synthesis Framework Using Auditory Frequency Scales - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Applied Sciences Année : 2018

Audlet Filter Banks: A Versatile Analysis/Synthesis Framework Using Auditory Frequency Scales

Résumé

Featured Application: The proposed framework is highly suitable for audio applications that require analysis–synthesis systems with the following properties: stability, perfect reconstruction, and a flexible choice of redundancy. Abstract: Many audio applications rely on filter banks (FBs) to analyze, process, and re-synthesize sounds. For these applications, an important property of the analysis–synthesis system is the reconstruction error; it has to be minimized to avoid audible artifacts. Other advantageous properties include stability and low redundancy. To exploit some aspects of auditory perception in the signal chain, some applications rely on FBs that approximate the frequency analysis performed in the auditory periphery, the gammatone FB being a popular example. However, current gammatone FBs only allow partial reconstruction and stability at high redundancies. In this article, we construct an analysis–synthesis system for audio applications. The proposed system, referred to as Audlet, is an oversampled FB with filters distributed on auditory frequency scales. It allows perfect reconstruction for a wide range of FB settings (e.g., the shape and density of filters), efficient FB design, and adaptable redundancy. In particular, we show how to construct a gammatone FB with perfect reconstruction. Experiments demonstrate performance improvements of the proposed gammatone FB when compared to current gammatone FBs in terms of reconstruction error and stability, especially at low redundancies. An application of the framework to audio source separation illustrates its utility for audio processing.
Fichier principal
Vignette du fichier
applsci-08-00096_final_version.pdf (585.61 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01807393 , version 1 (08-06-2018)

Identifiants

Citer

Thibaud Necciari, Nicki Holighaus, Peter Balazs, Zdeněk Průša, Piotr Majdak, et al.. Audlet Filter Banks: A Versatile Analysis/Synthesis Framework Using Auditory Frequency Scales. Applied Sciences, 2018, 8 (1), pp.96. ⟨10.3390/app8010096⟩. ⟨hal-01807393⟩
192 Consultations
223 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More