Title
An Efficient Time–Frequency Method for Synthesizing Noisy Sounds With Short Transients and Narrow Spectral Components
Abstract
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.
Year
DOI
Venue
2012
10.1109/TASL.2011.2176334
IEEE Transactions on Audio, Speech & Language Processing
Keywords
Field
DocType
time frequency,noise measurement,time frequency analysis,complexity reduction,frequency synthesizer,frequency resolution,sound design,fast fourier transforms,noise,vectors,real time
Small number,Inverse,Noise measurement,Sound design,Computer science,Speech recognition,Reduction (complexity),Fast Fourier transform,Time–frequency analysis,Computation
Journal
Volume
Issue
ISSN
20
4
1558-7916
Citations 
PageRank 
References 
0
0.34
11
Authors
4
Name
Order
Citations
PageRank
Damián Marelli116419.58
Mitsuko Aramaki211719.89
Richard Kronland-Martinet334857.46
Charles Verron4111.93