Maksim Khadkevich
Maksim Khadkevich
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Title
Cited by
Cited by
Year
Knowledge transfer from weakly labeled audio using convolutional neural network for sound events and scenes
A Kumar, M Khadkevich, C Fügen
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
832018
Use of Hidden Markov Models and Factored Language Models for Automatic Chord Recognition.
M Khadkevich, M Omologo
ISMIR, 561-566, 2009
562009
Large-Scale Cover Song Identification Using Chord Profiles.
M Khadkevich, M Omologo
ISMIR, 233-238, 2013
492013
Time-frequency reassigned features for automatic chord recognition
M Khadkevich, M Omologo
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
372011
A probabilistic approach to simultaneous extraction of beats and downbeats
M Khadkevich, T Fillon, G Richard, M Omologo
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
232012
Phase-change based tuning for automatic chord recognition
M Khadkevich, M Omologo
Proceedings of DAFX, 2009
162009
Reassigned spectrum-based feature extraction for gmm-based automatic chord recognition
M Khadkevich, M Omologo
EURASIP Journal on Audio, Speech, and Music Processing 2013 (1), 15, 2013
102013
Detecting distorted audio signals based on audio fingerprinting
IS Bilobrov, M Khadkevich
US Patent 9,390,727, 2016
92016
Mirex audio chord detection
M Khadkevich, M Omologo
Abstract of the Music Information Retrieval Evaluation Exchange, 2008
82008
Music signal processing for automatic extraction of harmonic and rhythmic information
M Khadkevich
University of Trento, 2011
32011
Method for the production of polyurethanes
R Lorenz, S Bauer, D Junge, E Baum, K Harre, J Erbes, T Ostrowski, ...
US Patent 6,906,110, 2005
3*2005
Systems and methods for identifying matching content
LB Kereth, E Ambar, M Khadkevich, S Bilobrov, X Luo
US Patent App. 15/077,840, 2017
22017
Improved automatic chord recognition
M Khadkevich, M Omologo
Fondazione Bruno Kessler, University of Trento, 2009
22009
Systems and methods for storing content
S Bilobrov, M Khadkevich, E Ambar
US Patent App. 15/396,029, 2017
12017
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