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» A Scalable Approach to Continuous-Media Processing
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ICASSP
2009
IEEE
14 years 1 months ago
Cepstral modulation ratio regression (CMRARE) parameters for audio signal analysis and classification
In this paper we propose a new set of parameters for audio signal analysis and classification. These parameters are regressions computed on the normalized modulation spectrum of h...
Rainer Martin, Anil Nagathil
WSC
2004
13 years 11 months ago
Approximate Time-Parallel Cache Simulation
In time-parallel simulation, the simulation time axis is decomposed into a number of slices which are assigned to parallel processes for concurrent simulation. Although a promisin...
Tobias Kiesling
ICASSP
2010
IEEE
13 years 10 months ago
Texas Hold 'Em algorithms for distributed compressive sensing
This paper develops a new class of algorithms for signal recovery in the distributed compressive sensing (DCS) framework. DCS exploits both intra-signal and inter-signal correlati...
Stephen R. Schnelle, Jason N. Laska, Chinmay Hegde...
ICASSP
2010
IEEE
13 years 10 months ago
Acceleration of sequence kernel computation for real-time speaker identification
The sequence kernel has been shown to be a promising kernel function for learning from sequential data such as speech and DNA. However, it is not scalable to massive datasets due ...
Makoto Yamada, Masashi Sugiyama, Gordon Wichern, T...
ICASSP
2011
IEEE
13 years 1 months ago
Hierarchical audio classification using cepstral modulation ratio regressions based on Legendre polynomials
In this work we present a scalable feature set which is obtained by fitting orthogonal polynomials to the normalized modulation spectrum of cepstral coefficients and which can b...
Anil M. Nagathil, Peter Gottel, Rainer Martin