Published journal and conference articles

Full list in Google Scholar

2021

Moro-Velazquez, L., Gomez-Garcia, J. A., Arias-Londoño, J. D., Dehak, N., & Godino-Llorente, J. I. (2021). Advances in Parkinson’s Disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects. Biomedical Signal Processing and Control, 66, 102418.

Gómez-García, J. A., Moro-Velázquez, L., Arias-Londoño, J. D., & Godino-Llorente, J. I. (2021). On the design of automatic voice condition analysis systems. Part III: review of acoustic modelling strategies. Biomedical Signal Processing and Control, 66, 102049.

Moro-Velazquez L., Dehak, N. (2021). A review of the use of prosodic aspects of speech for the automatic detection and assessment of Parkinson’s disease. Automatic Assessment of Parkinosnian Speech. Ed. Springer Nature Switzerland AG. Communications in Computer and Information Science (CCIS) Series, Vol 1295. Pp 53-73.

Godino-Llorente, J. I., Moro-Velazquez L., Gomez-Garcia, J. A., Choi, J. Y., Dehak, N., Shattuck-Hufnagel, S. (2021). Approaches to evaluate parkinsonian speech using artificial models. Automatic Assessment of Parkinosnian Speech. Ed. Springer Nature Switzerland AG. Communications in Computer and Information Science (CCIS) Series, Vol 1295. Pp 95-118.

Joshi, S., Villalba, J., Żelasko, P., Moro-Velazquez, L., & Dehak, N. (2021). Adversarial Attacks and Defenses for Speaker Identification Systems. arXiv preprint arXiv:2101.08909.

Kataria, S., Villalba, J., Żelasko, P., Moro-Velázquez, L., & Dehak, N. (2021). Deep Feature CycleGANs: Speaker Identity Preserving Non-parallel Microphone-Telephone Domain Adaptation for Speaker Verification. arXiv preprint arXiv:2104.01433.

Feng, S., Żelasko, P., Moro-Velázquez, L., & Scharenborg, O. (2021). Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature Representation. arXiv preprint arXiv:2104.00994.

Illa, M., Halpern, B. M., van Son, R., Moro-Velázquez, L., and Scharenborg, O. (2021). Pathological voice adaptation with autoencoder-based voice conversion. 11th ISCA Speech Synthesis Workshop (SSW), 2021.

Hernandez-Gonzalez, E., Moro-Velazquez, L., Gonzalez, R., Lara, A., Godino-Llorente, J. I. and Plaza, G. (2021). Influence of upper airway surgery on voice and speech recognition. Journal of craniofacial surgery.

2020

Moro-Velazquez, L., Hernandez-Gonzalez, E., Gomez-Garcia, J. A., Godino-Llorente, J. I., and Dehak, N. (2020). Analysis of the effects of supraglottal tract surgical procedures in automatic speaker recognition performance. IEEE/ACM Transactions on Audio, Speech and Language Processing, 28, 798-812.

Arias-Londoño, J. D., Gómez-García, J. A., Moro-Velázquez, L., and Godino-Llorente, J. I., (2020) “Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach,” IEEE Access.

Pappagari, R., Villalba, J., Żelasko, P., Moro-Velazquez, L., & Dehak, N. (2020). CopyPaste: An Augmentation Method for Speech Emotion Recognition. arXiv preprint arXiv:2010.14602. (Accepted ICASSP 2021)

Feng, S., Żelasko, P., Moro-Velázquez, L., Abavisani, A., Hasegawa-Johnson, M., Scharenborg, O., & Dehak, N. (2020). How Phonotactics Affect Multilingual and Zero-shot ASR Performance. arXiv preprint arXiv:2010.12104. (Accepted ICASSP 2021)

Żelasko, P., Moro-Velázquez, L., Hasegawa-Johnson, M., Scharenborg, O., and Dehak, N. (2020). That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages. Proc. Interspeech 2020.

Pappagari, R., Cho, J. J., Moro-Velazquez, L. and Dehak, N. (2020). Using state of the art speaker recognition and natural language processing technologies to detect Alzheimer’s disease and assess its severity. Proc. Interspeech 2020.

Moro-Velazquez, L., Villalba, J. and Dehak, N. (2020). Using x-vectors to automatically detect Parkinson’s disease from speech. Proc. ICASSP 2020, 1155-1159.

Gomez-Garcia, J. A., Moro-Velazquez, L., Arias-Londoño, J. D. and Godino-Llorente, J. I. (2020). On the design of automatic voice condition analysis systems. Part III: review of acoustic modelling strategies. Biomedical Signal Processing and Control.

Hernandez-Gonzalez, E., Moro-Velazquez, L., Gonzalez, R., Godino-Llorente, J. I. and Plaza, G. (2020). Effect of Functional Endoscopic Sinus Surgery on voice and speech recognition. Journal of voice 34 (4), 650. E1-650. E6.

2019

Moro-Velazquez, L., Gomez-Garcia, J. A., Godino-Llorente, J. I., Grandas-Perez, F., Shattuck-Hufnagel, S. Yague-Jimenez, V., and Dehak, N. (2019). Phonetic relevance and phonemic grouping of speech in the automatic detection of Parkinson’s disease. Scientific reports 9, 19066.

Moro-Velazquez, L., Cho, J. J., Watanabe, S., Hasegawa-Johnson, M. A., Scharenborg, O., Kim, H. and Dehak, N. (2019). Study of the performance of automatic speech recognition systems in speakers with Parkinson’s Disease. Proc. Interspeech 2019, 3875-3879.

Bhati, S., Moro-Velazquez, L., Villalba, J., Dehak, N. (2019). LSTM Siamese Network for Parkinson’s Disease Detection from Speech. 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Moro-Velazquez, L., Gomez-Garcia, J. A., Dehak, N. and Godino-Llorente, J. I. (2019). Analysis of phonatory features for the automatic detection of Parkinson’s Disease in two different corpora. Proc. MAVEBA 2019, 33-36.

Moro-Velazquez, L., Gomez-Garcia, J. A., Godino-Llorente, J. I., Villalba, J., Rusz, J., Shattuck-Hufnagel, S. and Dehak, N. (2019). A forced Gaussians based methodology for the differential evaluation of Parkinson’s Disease by means of speech processing. Biomedical Signal Processing and Control, 48, 205-220.

Gomez-Garcia, J. A., Moro-Velazquez, L., Mendes-Laureano, J., Castellanos-Dominguez, G. and Godino-Llorente, J. I. (2019). Emulating the perceptual capabilities of a human evaluator to map the GRB scale for the assessment of voice disorders. Engineering Applications of Artificial Intelligence, 82, 236-251.

Gomez-Garcia, J. A., Moro-Velazquez, L. and Godino-Llorente, J. I. (2019). On the design of automatic voice condition analysis systems. Part II: review of speaker recognition techniques and study on the effects of different variability factors. Biomedical Signal Processing and Control, 48, 128-143.

Hernandez-Gonzalez, E., Moro-Velazquez, L., Gonzalez, R., Lara, A., Godino-Llorente, J. I. and Plaza, G. (2019). Effect of septoplasty on voice performance: nasalance and acoustic study. Journal of craniofacial surgery, 30 (4), 1000-1003.

Gomez-Garcia, J. A., Moro-Velazquez, L. and Godino-Llorente, J. I. (2019). On the design of automatic voice condition analysis systems. Part I: review of concepts and an insight to the state of the art. Biomedical Signal Processing and Control, 51, 181-199.

2018

Arias-Londoño, J. D., Gómez-García, J. A., Moro-Velazquez, L. and Godino-Llorente, J. I. (2018). ByoVoz Automatic Voice Condition Analysis System for the 2018 FEMH Challenge. Proceedings of the 2018 IEEE International Conference on BigData.

Moro-Velazquez, L., Gomez-Garcia, J. A., Godino-Llorente, J. I., Rusz, J., Skodda, S., Grandas-Pérez, F., Velázquez, J. M., Orozco-Arroyave, J. R., Nöth, E., and Dehak, N. (2018). Study of the automatic detection of Parkison’s Disease based on speaker recognition technologies and allophonic distillation. Engineering in Medicine and Biology Society (EMBC), 2018 40th Annual International Conference of the IEEE.

Moro-Velazquez, L., Gómez-García, J. A., Godino-Llorente, J. I., Villalba, J., Orozco-Arroyave, J. R., & Dehak, N. (2018). Analysis of speaker recognition methodologies and the influence of kinetic changes to automatically detect Parkinson’s Disease. Applied Soft Computing, 62, 649-666.

Gómez-García, J. A., Moro-Velázquez, L, and Godino-Llorente, J. I. “Analysis of video-oculographic registers for the discrimination of Parkinson’s disease.” School and symposium on advanced neurorehabilitation (SSNR2018).

2017

Godino-Llorente J. I., Shattuck-Hufnagel S., Choi, J. Y., Moro-Velázquez, L., Gómez-García J.A., (2017). Towards the identification of Idiopathic Parkinson’s Disease from the speech. New articulatory kinetic biomarkers. PloS ONE 12(12): e0189583.

Moro-Velazquez, L., Godino-Llorente, J. I., Gómez-García, J. A., Villalba, J., Shattuck-Hufnagel, S., and Dehak, N., (2017). Use of acoustic landmarks and GMM-UBM blend in the automatic detection of Parkinson’s disease. MAVEBA 2017

Gómez-García, J.A., Moro-Velázquez, L., Mendes-Laureano, J., Godino-Llorente, J. I., (2017). On the design of a voice pathology assessment system based on the GRB scale. MAVEBA 2017

2016

Moro-Velazquez, L., Gómez-García, J. A., Godino-Llorente, J. I. (2016). Voice Pathology Detection Using Modulation Spectrum-Optimized Metrics. Frontiers in bioengineering and biotechnology, 4.

Gómez-García, J. A., Moro-Velazquez, L., Orozco-Arroyave, J.R., Godino-Llorente, J.I. (2016). Detection of Parkinson’s disease by means of GMM-UBM and iVectors techniques. XXXI Simposium Nacional de la Unión Científica Internacional de Radio, URSI 2016.

Gómez-García, J. A., Moro-Velazquez, L., Godino-Llorente, J. I., Castellanos-Domínguez, C. G. (2016). An insight to the automatic categorization of speakers according to sex and its application to the detection of voice pathologies: A comparative study. Revista Facultad de Ingeniería Universidad de Antioquia, (79), 50-62.

2015

Moro-Velazquez, L., Gómez-García, J. A., Godino-Llorente, J. I., Andrade-Miranda, G. (2015). Modulation spectra morphological parameters: a new method to assess voice pathologies according to the GRBAS scale. BioMed research international, 2015.

Andrade-Miranda, G., Godino-Llorente, J. I., Moro-Velazquez, L., Gómez-García, J. A. (2015) An automatic method to detect and track the glottal gap from high speed videoendoscopic images. Biomedical engineering online, 14(1), 100.

Moro-Velazquez, L., Gómez-García, J. A., & Godino-Llorente, J. I. Tuning of modulation spectrum parameters for voice pathology detection. MAVEBA 2015.

Gómez-García, J. A., Moro-Velazquez, L., Godino-Llorente, J. I. & Castellanos-Domínguez, G. Automatic age detection in normal and pathological voice. Interspeech 2015.

2014

Moro-Velazquez, L., Gómez García, J.A. & Godino-Llorente, J. I. Analysis of Complexity and Modulation Spectra parameterizations to characterize Voice Roughness. VIII Jornadas en Tecnologías del habla, Iberspeech 2014.