Antonio Pertusa
TítuloCitado porAño
Improving Genre Classification by Combination of Audio and Symbolic Descriptors Using a Transcription System
T Lidy, A Rauber, A Pertusa, JMI Quereda
ISMIR, 61-66, 2007
1012007
Multiple fundamental frequency estimation using Gaussian smoothness
A Pertusa, JM Inesta
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
712008
A Pattern Recognition Approach for Melody Track Selection in MIDI Files.
D Rizo, PJP De León, C Pérez-Sancho, A Pertusa, JMI Quereda
ISMIR, 61-66, 2006
522006
Shallow parsing for Portuguese-Spanish machine translation
A Garrido Alenda, P Gilabert Zarco, JA Pérez-Ortiz, A Pertusa, ...
Edições Colibri, 2004
392004
Performance-based interpreter identification in saxophone audio recordings
R Ramirez, E Maestre, A Pertusa, E Gomez, X Serra
IEEE Transactions on Circuits and Systems for Video Technology 17 (3), 356-364, 2007
252007
Combining audio and symbolic descriptors for music classification from audio
T Lidy, A Rauber, A Pertusa, J Inesta
Music Information Retrieval Information Exchange (MIREX), 2007
252007
Tree Model of Symbolic Music for Tonality Guessing.
D Rizo, JMI Quereda, PJP de León
Artificial Intelligence and Applications 2006, 299-304, 2006
222006
Modelling expressive performance: A regression tree approach based on strongly typed genetic programming
A Hazan, R Ramirez, E Maestre, A Perez, A Pertusa
Workshops on Applications of Evolutionary Computation, 676-687, 2006
202006
A cartesian ensemble of feature subspace classifiers for music categorization
T Lidy, R Mayer, A Rauber, PJ Ponce de León Amador, A Pertusa, ...
International Society for Music Information Retrieval, 2010
192010
Recognition of note onsets in digital music using semitone bands
A Pertusa, A Klapuri, JM Iñesta
Iberoamerican Congress on Pattern Recognition, 869-879, 2005
192005
Efficient methods for joint estimation of multiple fundamental frequencies in music signals
A Pertusa, JM Iñesta
EURASIP Journal on Advances in Signal Processing 2012 (1), 27, 2012
172012
Computationally efficient methods for polyphonic music transcription
A Pertusa
Universidad de Alicante, 2010
152010
Polyphonic monotimbral music transcription using dynamic networks
A Pertusa, JM Iñesta
Pattern Recognition Letters 26 (12), 1809-1818, 2005
152005
Polyphonic music transcription through dynamic networks and spectral pattern identification
A Pertusa, JM Inesta
Proceedings of the International Conference on Artificial Neural Networks in …, 2003
132003
End-to-End Optical Music Recognition Using Neural Networks
J Calvo-Zaragoza, JJ Valero-Mas, A Pertusa
International Society for Music Information Retrieval Conference, 2017
122017
Automatic ship classification from optical aerial images with convolutional neural networks
AJ Gallego, A Pertusa, P Gil
Remote Sensing 10 (4), 511, 2018
112018
Staff-line detection and removal using a convolutional neural network
J Calvo-Zaragoza, A Pertusa, J Oncina
Machine Vision and Applications 28 (5-6), 665-674, 2017
102017
A cooperative approach to style-oriented music composition
D Espı, PJP de León, C Pérez-Sancho, D Rizo, JM Inesta, F Moreno-Seco, ...
Proc. of the Int. Workshop on Artificial Intelligence and Music, MUSIC-AI, 25-36, 2007
92007
Melodic track identification in MIDI files
D Rizo, PJP De León, A Pertusa, C Pérez-Sachno, JM Inesta
Proceedings of the 19th International FLAIRS Conference, Melbourne Beach …, 2006
92006
Note onset detection using one semitone filter-bank for MIREX 2009
A Pertusa, JM Inesta
72009
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20