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» Automatic Understanding of Signals
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ICMCS
2005
IEEE
93views Multimedia» more  ICMCS 2005»
15 years 8 months ago
Extracting note onsets from musical recordings
Automatic temporal segmentation of music signals into note onsets is central for a large number of audio applications. In this paper, we present a variation of a previously existi...
Miguel Alonso, Gaël Richard, Bertrand David
114
Voted
WACV
2005
IEEE
15 years 8 months ago
Realtime Road Detection by Learning from One Example
Realtime detection and localization of a road from an aerial image is an emerging research area that can be applied to vision-based navigation of unmanned air vehicles. Existing r...
Zu Whan Kim
MM
2005
ACM
133views Multimedia» more  MM 2005»
15 years 8 months ago
Content-based music audio recommendation
We present the MusicSurfer, a metadata free system for the interaction with massive collections of music. MusicSurfer automatically extracts descriptions related to instrumentatio...
Pedro Cano, Markus Koppenberger, Nicolas Wack
ICASSP
2010
IEEE
15 years 2 months ago
Optimizing spectral subtraction and wiener filtering for robust speech recognition in reverberant and noisy conditions
Speech enhancement is a common approach to address the effects of degradation due to noise and channel contamination. This approach is intended to suppress unwanted signal and rec...
Randy Gomez, Tatsuya Kawahara
CGF
2005
111views more  CGF 2005»
15 years 2 months ago
Pinchmaps: textures with customizable discontinuities
We introduce a new texture representation that combines standard sampling, to be bilinearly interpolated in smoothly varying regions, with customizable discontinuities, to model s...
Marco Tarini, Paolo Cignoni