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» Automatic Understanding of Signals
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ISMIR
2005
Springer
164views Music» more  ISMIR 2005»
14 years 3 months ago
Theory and Evaluation of a Bayesian Music Structure Extractor
We introduce a new model for extracting classified structural segments, such as intro, verse, chorus, break and so forth, from recorded music. Our approach is to classify signal ...
Samer A. Abdallah, Katy Noland, Mark B. Sandler, M...
ISMIR
2005
Springer
182views Music» more  ISMIR 2005»
14 years 3 months ago
The Mel-Frequency Cepstral Coefficients in the Context of Singer Identification
The singing voice is the oldest and most complex musical instrument. A familiar singer’s voice is easily recognizable for humans, even when hearing a song for the first time. O...
Annamaria Mesaros, Jaakko Astola
ISMIR
2005
Springer
173views Music» more  ISMIR 2005»
14 years 3 months ago
Audio Matching via Chroma-Based Statistical Features
In this paper, we describe an efficient method for audio matching which performs effectively for a wide range of classical music. The basic goal of audio matching can be describe...
Meinard Müller, Frank Kurth, Michael Clausen
LOCA
2005
Springer
14 years 3 months ago
Web-Enhanced GPS
Location-based services like reminders, electronic graffiti, and tourist guides normally require a custom, location-sensitive database that must be custom-tailored for the applicat...
Ramaswamy Hariharan, John Krumm, Eric Horvitz
LSSC
2005
Springer
14 years 3 months ago
Systolic Architecture for Adaptive Censoring CFAR PI Detector
A new parallel algorithm for signal processing and a parallel systolic architecture of a robust constant false alarm rate (CFAR) processor with post-detection integration and adap...
Ivan Garvanov, Christo A. Kabakchiev, Plamen Daska...