Sciweavers

Share
ICASSP
2009
IEEE

Cepstral modulation ratio regression (CMRARE) parameters for audio signal analysis and classification

10 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 high-resolution cepstral coefficients. The parameter set is scalable in its size and gives a compact representation of the modulation content of speech and other audio signals. These parameters as well as the regression approximation error are well suited for characterizing audio signals in a unified framework. In particular we use a set of eight parameters in a speech/music/noise classification task in which we achieve a classification accuracy which compares very well with other approaches including static and dynamic MFCCs.
Rainer Martin, Anil Nagathil
Added 17 Aug 2010
Updated 17 Aug 2010
Type Conference
Year 2009
Where ICASSP
Authors Rainer Martin, Anil Nagathil
Comments (0)
books