Time-frequency synthesis of noisy sounds with narrow spectral components

Authors:
Damián Marelli;Mitsuko Aramaki;Richard Kronland-Martinet;Charles Verron
Affiliations:
School of Electrical Engineering and Computer Science, University of Newcastle, Callaghan, NSW;CNRS, Institut de Neurosciences Cognitives de la Méditerranée, Marseille, France;CNRS, Laboratoire de Mécanique et d'Acoustique, Marseille, France;Department of Audiovisual and Speech for Quality, OPERA, Orange Labs, Lannion Cedex, France and CNRS, Laboratoire de Mécanique et d'Acoustique Marsellie, France
Venue:
IEEE Transactions on Audio, Speech, and Language Processing
Year:
2010

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Abstract

The inverse fast Fourier transform (FFT) method was proposed to alleviate the computational complexity of the additive sound synthesis method in real-time applications, and consists in synthesizing overlapping blocks of samples in the frequency domain. However, its application is limited by its inherent tradeoff between time and frequency resolution. In this paper, we propose an alternative to the inverse FFT method for synthesizing colored noise. The proposed approach uses subband signal processing to generate time-frequency noise with an autocorrelation function such that the noise obtained after converting it to time domain has the desired power spectral density. We show that the inverse FFT method can be interpreted as a particular case of the proposed method, and therefore, the latter offers some extra design flexibility. Exploiting this property, we present experimental results showing that the proposed method can offer a better tradeoff between time and frequency resolution, at the expense of some extra computations.