An Efficient Time–Frequency Method for Synthesizing Noisy Sounds With Short Transients and Narrow Spectral Components

Autor: Charles Verron, Richard Kronland-Martinet, Mitsuko Aramaki, Damian Marelli
Přispěvatelé: University of Newcastle [Callaghan, Australia] (UoN), Sons, Laboratoire de Mécanique et d'Acoustique [Marseille] (LMA ), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), University of Newcastle [Australia] (UoN), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)
Rok vydání: 2012
Předmět:
Zdroj: IEEE Transactions on Audio, Speech and Language Processing
IEEE Transactions on Audio, Speech and Language Processing, 2012, 20 (4), pp.1400-1408. ⟨10.1109/TASL.2011.2176334⟩
IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2012, 20 (4), pp.1400-1408
ISSN: 1558-7924
1558-7916
DOI: 10.1109/tasl.2011.2176334
Popis: International audience; The inverse fast Fourier transform (IFFT) method is a time-frequency technique which was proposed to alleviate the complexity of the additive sound synthesis method in real-time applications. However, its application is limited by its inherent tradeoff between time and frequency resolutions, which are determined by the number of frequencies used for time-frequency processing. In a previous work, the authors proposed a frequency-refining technique for overcoming this frequency limitation, permitting achieving any time and frequency resolution using a small number of frequencies. In this correspondence we extend this work, by proposing a time-refining technique which permits overcoming the time resolution limitation for a given number of frequencies. Additionally, we propose an alternative to the frequency-refining technique proposed in our previous work, which requires about half the computations. The combination of these two results permits achieving any time and frequency resolution for any given number of frequencies. Using this property, we find the number of frequencies which minimizes the overall complexity. We do so considering two different application scenarios (i.e., offline sound design and online real-time synthesis). This results in a major complexity reduction in comparison with the design proposed in our previous work.
Databáze: OpenAIRE