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131
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Classifying laughter and speech using audio-visual feature prediction
In this study, a system that discriminates laughter from speech by modelling the relationship between audio and visual features is presented. The underlying assumption is that thi...
Stavros Petridis, Ali Asghar, Maja Pantic
77
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Evaluation of a stereo audio data hiding method using inter-channel decorrelator polarity
We extensively evaluated a data hiding algorithm for stereo audio signals which embeds data using the polarity of the echoes added to the high-frequency channels, which we have pr...
Kazuhiro Kondo
118
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Multiantenna spectrum sensing: Detection of spatial correlation among time-series with unknown spectra
One of the key problems in cognitive radio (CR) is the detection of primary activity in order to determine which parts of the spectrum are available for opportunistic access. This...
David Ramírez, Javier Vía, Ignacio S...
115
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Graph-spectrum-based neural spike features for stereotrodes and tetrodes
Extracellular recording of neural signals records the action potentials (known as spikes) of neurons adjacent to the electrode as well as the noise generated by the overall neural...
Yasser Ghanbari, Panos Papamichalis, Larry Spence
131
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Characterization of movie genre based on music score
While it is clear that the full emotional effect of a movie scene is carried through the successful interpretation of audio and visual information, music still carries a significa...
Aida Austin, Elliot Moore II, Udit Gupta, Parag Ch...
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