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» A Naturalist Approach to Music File Name Analysis
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ISMIR
2005
Springer
179views Music» more  ISMIR 2005»
13 years 11 months ago
Discovering and Visualizing Prototypical Artists by Web-Based Co-Occurrence Analysis
Detecting artists that can be considered as prototypes for particular genres or styles of music is an interesting task. In this paper, we present an approach that ranks artists ac...
Markus Schedl, Peter Knees, Gerhard Widmer
ICMCS
2005
IEEE
129views Multimedia» more  ICMCS 2005»
13 years 12 months ago
Feature Selection and Stacking for Robust Discrimination of Speech, Monophonic Singing, and Polyphonic Music
In this work we strive to find an optimal set of acoustic features for the discrimination of speech, monophonic singing, and polyphonic music to robustly segment acoustic media st...
Björn Schuller, Brüning J. B. Schmitt, D...
TON
2008
76views more  TON 2008»
13 years 6 months ago
Minimizing file download time in stochastic peer-to-peer networks
The peer-to-peer (P2P) file-sharing applications are becoming increasingly popular and account for more than 70% of the Internet's bandwidth usage. Measurement studies show th...
Yuh-Ming Chiu, Do Young Eun
TASLP
2008
140views more  TASLP 2008»
13 years 6 months ago
Acoustic Chord Transcription and Key Extraction From Audio Using Key-Dependent HMMs Trained on Synthesized Audio
We describe an acoustic chord transcription system that uses symbolic data to train hidden Markov models and gives best-of-class frame-level recognition results. We avoid the extre...
Kyogu Lee, Malcolm Slaney
KDD
2008
ACM
146views Data Mining» more  KDD 2008»
14 years 6 months ago
Spotting out emerging artists using geo-aware analysis of P2P query strings
Record label companies would like to identify potential artists as early as possible in their careers, before other companies approach the artists with competing contracts. The va...
Noam Koenigstein, Yuval Shavitt, Tomer Tankel