DocumentCode :
1464235
Title :
Time–Frequency Synthesis of Noisy Sounds With Narrow Spectral Components
Author :
Marelli, Damián ; Aramaki, Mitsuko ; Kronland-Martinet, Richard ; Verron, Charles
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Univ. of Newcastle, Callaghan, NSW, Australia
Volume :
18
Issue :
8
fYear :
2010
Firstpage :
1929
Lastpage :
1940
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.
Keywords :
acoustic signal processing; computational complexity; fast Fourier transforms; signal synthesis; time-frequency analysis; FFT method; additive sound synthesis method; computational complexity; inverse fast Fourier transform; narrow spectral components; noise synthesis; power spectral density; subband signal processing; time-frequency synthesis; Acoustic noise; Colored noise; Computational complexity; Fast Fourier transforms; Frequency domain analysis; Noise generators; Power generation; Signal processing; Signal resolution; Signal synthesis; Additive synthesis; audio systems; colored noise synthesis; frequency-domain synthesis; time–frequency analysis;
fLanguage :
English
Journal_Title :
Audio, Speech, and Language Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1558-7916
Type :
jour
DOI :
10.1109/TASL.2010.2040532
Filename :
5443740
Link To Document :
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