| Model fusion for multimodal depression classification and level detection M Senoussaoui, M Sarria-Paja, JF Santos, TH Falk Proceedings of the 4th International Workshop on Audio/Visual Emotion …, 2014 | 78 | 2014 |
| Automated Dysarthria Severity Classification for Improved Objective Intelligibility Assessment of Spastic Dysarthric Speech. MOS Paja, TH Falk Interspeech, 62-65, 2012 | 70 | 2012 |
| The effects of whispered speech on state-of-the-art voice based biometrics systems M Sarria-Paja, M Senoussaoui, TH Falk 2015 IEEE 28th Canadian conference on electrical and computer engineering …, 2015 | 43 | 2015 |
| Fusion of auditory inspired amplitude modulation spectrum and cepstral features for whispered and normal speech speaker verification M Sarria-Paja, TH Falk Computer Speech & Language 45, 437-456, 2017 | 38 | 2017 |
| Whispered speech detection in noise using auditory-inspired modulation spectrum features M Sarria-Paja, TH Falk IEEE Signal Processing Letters 20 (8), 783-786, 2013 | 34 | 2013 |
| A maximum likelihood method for driver-specific critical-gap estimation D Orth, D Kolossa, MS Paja, K Schaller, A Pech, M Heckmann 2017 ieee intelligent vehicles symposium (iv), 553-558, 2017 | 33 | 2017 |
| Feature mapping, score-, and feature-level fusion for improved normal and whispered speech speaker verification M Sarria-Paja, M Senoussaoui, D O'Shaughnessy, TH Falk 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 21 | 2016 |
| Improving the performance of far-field speaker verification using multi-condition training: the case of GMM-UBM and i-vector systems AR Avila, M Sarria-Paja, FJ Fraga, D O'Shaughnessy, TH Falk Fifteenth Annual Conference of the International Speech Communication …, 2014 | 21 | 2014 |
| Whispered speaker verification and gender detection using weighted instantaneous frequencies M Sarria-Paja, TH Falk, D O'Shaughnessy 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 16 | 2013 |
| Fusion of bottleneck, spectral and modulation spectral features for improved speaker verification of neutral and whispered speech M Sarria-Paja, TH Falk Speech Communication 102, 78-86, 2018 | 15 | 2018 |
| Classification of nonverbal human produced audio events: a pilot study RE Bouserhal, P Chabot, M Sarria-Paja, P Cardinal, J Voix International Speech Communication Association, 2018 | 13 | 2018 |
| Strategies to enhance whispered speech speaker verification: A comparative analysis MO Sarria-Paja, TH Falk Canadian Acoustics 43 (4), 31-45, 2015 | 10 | 2015 |
| 1. State-of-the-art speaker recognition methods applied to speakers with dysarthria M Senoussaoui, MO Saria-Paja, P Cardinal, TH Falk, F Michaud Voice Technologies for Speech Reconstruction and Enhancement, 7-34, 2020 | 7 | 2020 |
| Detección de cáncer de seno usando imágenes de histopatología y modelos de aprendizaje profundo pre-entrenados H Agudelo Gaviria, M Sarria-Paja Computer and Electronic Sciences: Theory and Applications 2 (2), 27-36, 2021 | 6 | 2021 |
| Automatic detection of Parkinson’s disease from components of modulators in speech signals JF Moofarrry, P Argüello-Vélez, M Sarria-Paja Computer and Electronic Sciences: Theory and Applications 1 (1), 71-82, 2020 | 6 | 2020 |
| A new approach to discriminative HMM training for pathological voice classification M Sarria-Paja, G Castellanos-Domínguez, E Delgado-Trejos 2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010 | 6 | 2010 |
| Feature selection in pathological voice classification using dinamyc of component analysis MO Sarria Paja, G Daza Santacoloma, JI Godino Llorente, ... Universidad de Deusto, 2008 | 6 | 2008 |
| Smartphones dependency risk analysis using machine-learning predictive models CF Giraldo-Jiménez, J Gaviria-Chavarro, M Sarria-Paja, ... Scientific Reports 12 (1), 22649, 2022 | 5 | 2022 |
| Variants of mel-frequency cepstral coefficients for improved whispered speech speaker verification in mismatched conditions M Sarria-Paja, TH Falk 2017 25th European Signal Processing Conference (EUSIPCO), 91-95, 2017 | 5 | 2017 |
| Machine-learning predictive models for dependency on smartphones based on risk factors CF Giraldo-Jiménez, J Gaviria-Chavarro, A Urrutia-Valdés, ... | 3 | 2021 |
Tiago H. FalkProfessor, INRS-EMT, University of QuebecVerified email at emt.inrs.ca
