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» Extracting information from music audio
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MM
2005
ACM
146views Multimedia» more  MM 2005»
14 years 3 months ago
Unsupervised content discovery in composite audio
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
Rui Cai, Lie Lu, Alan Hanjalic
ICIP
2008
IEEE
14 years 4 months ago
A multimodal approach to music transcription
Music transcription refers to extraction of a human readable and interpretable description from a recording of a music performance. Automatic music transcription remains, nowadays...
Marco Paleari, Benoit Huet, Antony Schutz, Dirk T....
TASLP
2010
177views more  TASLP 2010»
13 years 4 months ago
A Watermarking-Based Method for Informed Source Separation of Audio Signals With a Single Sensor
In this paper, the issue of audio source separation from a single channel is addressed, i.e. the estimation of several source signals from a single observation of their mixture. Th...
Mathieu Parvaix, Laurent Girin, Jean-Marc Brossier
ISMIS
2005
Springer
14 years 3 months ago
Extracting Emotions from Music Data
Abstract. Music is not only a set of sounds, it evokes emotions, subjectively perceived by listeners. The growing amount of audio data available on CDs and in the Internet wakes up...
Alicja Wieczorkowska, Piotr Synak, Rory A. Lewis, ...
ISMIR
2005
Springer
179views Music» more  ISMIR 2005»
14 years 3 months ago
Evaluation of Feature Extractors and Psycho-Acoustic Transformations for Music Genre Classification
We present a study on the importance of psycho-acoustic transformations for effective audio feature calculation. From the results, both crucial and problematic parts of the algori...
Thomas Lidy, Andreas Rauber