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ICASSP
2010
IEEE
13 years 7 months ago
Latent-variable decomposition based dereverberation of monaural and multi-channel signals
We present an algorithm to dereverberate single- and multi-channel audio recordings. The proposed algorithm models the magnitude spectrograms of clean audio signals as histograms ...
Rita Singh, Bhiksha Raj, Paris Smaragdis
MM
1999
ACM
150views Multimedia» more  MM 1999»
13 years 12 months ago
Heuristic approach for generic audio data segmentation and annotation
A real-time audio segmentation and indexing scheme is presented in this paper. Audio recordings are segmented and classified into basic audio types such as silence, speech, music,...
Tong Zhang, C. C. Jay Kuo
ICASSP
2010
IEEE
13 years 7 months ago
Audio forensics from acoustic reverberation
An audio recording is subject to a number of possible distortions and artifacts. For example, the persistence of sound, due to multiple reflections from various surfaces in a roo...
Hafiz Malik, Hany Farid
ICASSP
2009
IEEE
13 years 11 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
ICASSP
2010
IEEE
13 years 7 months ago
Robust similarity metrics between audio signals based on asymmetrical spectral envelope matching
In this paper, a new type of metric that defines the similarity between musical audio signals is proposed. Based on the spectral flatness criterion, those metrics achieve low co...
Mathieu Lagrange, Roland Badeau, Gaël Richard