A flexible multi-resolution time-frequency analysis framework for audio signals

Autor: Thomas Fillon, Jacques Prado
Přispěvatelé: Signal, Statistique et Apprentissage (S2A), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Département Traitement du Signal et des Images (TSI), Télécom ParisTech-Centre National de la Recherche Scientifique (CNRS), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Zdroj: 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)
11th International Conference on Information Science, Signal Processing and their Applications (ISSPA), Jul 2012, Montreal, Canada. pp.1124-1129, ⟨10.1109/ISSPA.2012.6310459⟩
ISSPA
DOI: 10.1109/ISSPA.2012.6310459⟩
Popis: International audience; In this article, a new Constant-Q transform implementation is proposed together with a generalization of both the Short-Term Fourier Transform and the Constant-Q transform. The purpose of this generalization is to provide a discrete time-frequency analysis tool with arbitrary center frequency and frequency resolution for each bin of the transform. This new analysis framework is very flexible and can be related to many common time-frequency transforms. Furthermore, new interesting transforms with specific time-frequency resolutions can be defined. To illustrate and validate the corresponding approach, experimental results and examples are provided for different configurations.
Databáze: OpenAIRE