Spoken emotion recognition using hierarchical classifiers EM Albornoz, DH Milone, HL Rufiner Computer Speech & Language 25 (3), 556-570, 2011 | 179 | 2011 |
Empirical mode decomposition for adaptive AM-FM analysis of speech: A review R Sharma, L Vignolo, G Schlotthauer, MA Colominas, HL Rufiner, ... Speech Communication 88, 39-64, 2017 | 86 | 2017 |
Perceptual evaluation of blind source separation for robust speech recognition L Di Persia, D Milone, HL Rufiner, M Yanagida Signal Processing 88 (10), 2578-2583, 2008 | 80 | 2008 |
Acoustic analysis of speech for detection of laryngeal pathologies CE Martinez, HL Rufiner Proceedings of the 22nd Annual International Conference of the IEEE …, 2000 | 80 | 2000 |
A new algorithm for instantaneous F0speech extraction based on Ensemble Empirical Mode Decomposition G Schlotthauer, ME Torres, HL Rufiner 2009 17th European Signal Processing Conference, 2347-2351, 2009 | 78 | 2009 |
Automatic recognition of ingestive sounds of cattle based on hidden Markov models DH Milone, JR Galli, CA Cangiano, HL Rufiner, EA Laca Computers and electronics in agriculture 87, 51-55, 2012 | 77 | 2012 |
Open access database of EEG signals recorded during imagined speech GAP Coretto, IE Gareis, HL Rufiner 12th International Symposium on Medical Information Processing and Analysis …, 2017 | 73 | 2017 |
A real-time algorithm for acoustic monitoring of ingestive behavior of grazing cattle JO Chelotti, SR Vanrell, DH Milone, SA Utsumi, JR Galli, HL Rufiner, ... Computers and Electronics in Agriculture 127, 64-75, 2016 | 64 | 2016 |
Computational method for segmentation and classification of ingestive sounds in sheep DH Milone, HL Rufiner, JR Galli, EA Laca, CA Cangiano Computers and Electronics in Agriculture 65 (2), 228-237, 2009 | 62 | 2009 |
Thinking out loud, an open-access EEG-based BCI dataset for inner speech recognition N Nieto, V Peterson, HL Rufiner, JE Kamienkowski, R Spies Scientific Data 9 (1), 52, 2022 | 58 | 2022 |
Embedded system for real-time monitoring of foraging behavior of grazing cattle using acoustic signals NN Deniz, JO Chelotti, JR Galli, AM Planisich, MJ Larripa, HL Rufiner, ... Computers and electronics in agriculture 138, 167-174, 2017 | 50 | 2017 |
A pattern recognition approach for detecting and classifying jaw movements in grazing cattle JO Chelotti, SR Vanrell, JR Galli, LL Giovanini, HL Rufiner Computers and Electronics in Agriculture 145, 83-91, 2018 | 45 | 2018 |
Assessment of homomorphic analysis for human activity recognition from acceleration signals SR Vanrell, DH Milone, HL Rufiner IEEE journal of biomedical and health informatics 22 (4), 1001-1010, 2017 | 44 | 2017 |
Genetic wavelet packets for speech recognition LD Vignolo, DH Milone, HL Rufiner Expert Systems with Applications 40 (6), 2350-2359, 2013 | 42 | 2013 |
Speech emotion recognition using a deep autoencoder NE Cibau, EM Albornoz, HL Rufiner Anales de la XV Reunion de Procesamiento de la Informacion y Control 16, 934-939, 2013 | 36 | 2013 |
Objective quality evaluation in blind source separation for speech recognition in a real room L Di Persia, M Yanagida, HL Rufiner, D Milone Signal Processing 87 (8), 1951-1965, 2007 | 36 | 2007 |
Automatic speaker identification by means of Mel cepstrum, wavelets and wavelet packets HM Torres, HL Rufiner Proceedings of the 22nd Annual International Conference of the IEEE …, 2000 | 36 | 2000 |
Deep learning for emotional speech recognition ME Sánchez-Gutiérrez, EM Albornoz, F Martinez-Licona, HL Rufiner, ... Pattern Recognition: 6th Mexican Conference, MCPR 2014, Cancun, Mexico, June …, 2014 | 34 | 2014 |
An online method for estimating grazing and rumination bouts using acoustic signals in grazing cattle JO Chelotti, SR Vanrell, LSM Rau, JR Galli, AM Planisich, SA Utsumi, ... Computers and Electronics in Agriculture 173, 105443, 2020 | 33 | 2020 |
Evolutionary splines for cepstral filterbank optimization in phoneme classification LD Vignolo, HL Rufiner, DH Milone, JC Goddard EURASIP Journal on Advances in Signal Processing 2011, 1-14, 2011 | 32 | 2011 |