Title
Time-frequency synthesis of noisy sounds with narrow spectral components
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.
Year
DOI
Venue
2010
10.1109/TASL.2010.2040532
IEEE Transactions on Audio, Speech & Language Processing
Keywords
Field
DocType
time-frequency synthesis,time domain,better tradeoff,frequency domain,additive sound synthesis method,noisy sound,inverse fft method,time-frequency noise,extra computation,narrow spectral components,frequency resolution,frequency synthesis,narrow spectral component,signal processing,computational complexity,noise measurement,time frequency analysis,power spectral density,generation time,time frequency,autocorrelation function,fast fourier transforms,computational modeling,colored noise
Frequency domain,Time domain,Signal processing,Colors of noise,Noise measurement,Pattern recognition,Computer science,Additive synthesis,Speech recognition,Fast Fourier transform,Spectral density,Artificial intelligence
Journal
Volume
Issue
ISSN
18
8
1558-7916
Citations 
PageRank 
References 
7
0.47
21
Authors
4
Name
Order
Citations
PageRank
Damián Marelli116419.58
Mitsuko Aramaki211719.89
Richard Kronland-Martinet334857.46
Charles Verron4111.93