A flexible multi-resolution time-frequency analysis framework for audio signals
Autor: | Thomas Fillon, Jacques Prado |
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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: |
[SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph]
audio signal processing Non-uniform discrete Fourier transform Computer science Speech recognition Short-time Fourier transform 020206 networking & telecommunications 02 engineering and technology time-frequency analysis Fractional Fourier transform Discrete Fourier transform Fourier transforms 03 medical and health sciences symbols.namesake 0302 clinical medicine Discrete sine transform Hartley transform 0202 electrical engineering electronic engineering information engineering symbols Harmonic wavelet transform Algorithm [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing 030217 neurology & neurosurgery Constant Q transform |
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 |
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