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2020 – today
- 2024
[j17]Deming Li
, Ankur A. Butala, Laureano Moro-Velázquez, Trevor Meyer, Esther S. Oh, Chelsey Motley, Jesús Villalba, Najim Dehak:
Automating the analysis of eye movement for different neurodegenerative disorders. Comput. Biol. Medicine 170: 107951 (2024)- [j16]Saurabh Kataria, Jesús Villalba, Laureano Moro-Velázquez, Piotr Zelasko, Najim Dehak:
Time-Domain Speech Super-Resolution With GAN Based Modeling for Telephony Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1736-1749 (2024) - [j15]Saurabhchand Bhati, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
Slowness Regularized Contrastive Predictive Coding for Acoustic Unit Discovery. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4277-4287 (2024) - [c31]Maliha Jahan, Helin Wang, Thomas Thebaud, Yinglun Sun, Giang Ha Le, Zsuzsanna Fagyal, Odette Scharenborg, Mark Hasegawa-Johnson, Laureano Moro-Velázquez, Najim Dehak:
Finding Spoken Identifications: Using GPT-4 Annotation for an Efficient and Fast Dataset Creation Pipeline. LREC/COLING 2024: 7296-7306 - [c30]Anna Favaro, Najim Dehak, Thomas Thebaud, Jesús Villalba, Esther S. Oh, Laureano Moro-Velázquez:
Discovering Invariant Patterns of Cognitive Decline Via an Automated Analysis of the Cookie Thief Picture Description Task. Odyssey 2024: 201-208 - [c29]Lucas Goncalves, Ali N. Salman, Abinay Reddy Naini, Laureano Moro-Velázquez, Thomas Thebaud, Paola García, Najim Dehak, Berrak Sisman, Carlos Busso:
Odyssey 2024 - Speech Emotion Recognition Challenge: Dataset, Baseline Framework, and Results. Odyssey 2024: 247-254 - [i18]Thomas Thebaud, Anna Favaro, Casey Chen, Gabriel Chávez, Laureano Moro-Velázquez, Ankur A. Butala, Najim Dehak:
Explainable Metrics for the Assessment of Neurodegenerative Diseases through Handwriting Analysis. CoRR abs/2409.08303 (2024) - 2023
- [j14]Anna Favaro, Yi-Ting Tsai, Ankur A. Butala, Thomas Thebaud, Jesús Villalba, Najim Dehak, Laureano Moro-Velázquez:
Interpretable speech features vs. DNN embeddings: What to use in the automatic assessment of Parkinson's disease in multi-lingual scenarios. Comput. Biol. Medicine 166: 107559 (2023) - [c28]Maliha Jahan, Laureano Moro-Velázquez, Thomas Thebaud, Najim Dehak, Jesús Villalba:
Model-Based Fairness Metric for Speaker Verification. ASRU 2023: 1-7 - [c27]Saurabhchand Bhati, Jesús Villalba, Laureano Moro-Velázquez, Thomas Thebaud, Najim Dehak:
Segmental SpeechCLIP: Utilizing Pretrained Image-text Models for Audio-Visual Learning. INTERSPEECH 2023: 431-435 - [c26]Helin Wang, Thomas Thebaud, Jesús Villalba, Myra Sydnor, Becky Lammers, Najim Dehak, Laureano Moro-Velázquez:
DuTa-VC: A Duration-aware Typical-to-atypical Voice Conversion Approach with Diffusion Probabilistic Model. INTERSPEECH 2023: 1548-1552 - [c25]Anna Favaro, Tianyu Cao, Thomas Thebaud, Jesús Villalba, Ankur A. Butala, Najim Dehak, Laureano Moro-Velázquez:
Do Phonatory Features Display Robustness to Characterize Parkinsonian Speech Across Corpora? INTERSPEECH 2023: 2388-2392 - [c24]Saurabh Kataria, Jesús Villalba, Laureano Moro-Velázquez, Thomas Thebaud, Najim Dehak:
Self-FiLM: Conditioning GANs with self-supervised representations for bandwidth extension based speaker recognition. INTERSPEECH 2023: 4688-4692 - [i17]Martin Sustek, Samik Sadhu, Lukás Burget, Hynek Hermansky, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak:
Stabilized training of joint energy-based models and their practical applications. CoRR abs/2303.04187 (2023) - [i16]Saurabhchand Bhati, Jesús Villalba, Laureano Moro-Velázquez, Thomas Thebaud, Najim Dehak:
Leveraging Pretrained Image-text Models for Improving Audio-Visual Learning. CoRR abs/2309.04628 (2023) - [i15]Trevor Meyer, Camden Shultz, Najim Dehak, Laureano Moro-Velázquez, Pedro P. Irazoqui:
Time Scale Network: A Shallow Neural Network For Time Series Data. CoRR abs/2311.06170 (2023) - 2022
- [j13]Piotr Zelasko, Siyuan Feng, Laureano Moro-Velázquez, Ali Abavisani, Saurabhchand Bhati, Odette Scharenborg, Mark Hasegawa-Johnson, Najim Dehak:
Discovering phonetic inventories with crosslingual automatic speech recognition. Comput. Speech Lang. 74: 101358 (2022) - [j12]Jaejin Cho, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak:
Non-Contrastive Self-Supervised Learning for Utterance-Level Information Extraction From Speech. IEEE J. Sel. Top. Signal Process. 16(6): 1284-1295 (2022) - [j11]Saurabhchand Bhati, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
Unsupervised Speech Segmentation and Variable Rate Representation Learning Using Segmental Contrastive Predictive Coding. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2002-2014 (2022) - [c23]Saurabh Kataria, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak:
Joint domain adaptation and speech bandwidth extension using time-domain GANs for speaker verification. INTERSPEECH 2022: 615-619 - [c22]Jaejin Cho, Raghavendra Pappagari, Piotr Zelasko, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak:
Non-contrastive self-supervised learning of utterance-level speech representations. INTERSPEECH 2022: 4028-4032 - [c21]Tianyu Cao, Laureano Moro-Velázquez, Piotr Zelasko, Jesús Villalba, Najim Dehak:
Vsameter: Evaluation of a New Open-Source Tool to Measure Vowel Space Area and Related Metrics. SLT 2022: 517-524 - [c20]Anna Favaro, Chelsie Motley, Tianyu Cao, Miguel Iglesias, Ankur A. Butala, Esther S. Oh, Robert D. Stevens, Jesús Villalba, Najim Dehak, Laureano Moro-Velázquez:
A Multi-Modal Array of Interpretable Features to Evaluate Language and Speech Patterns in Different Neurological Disorders. SLT 2022: 532-539 - [i14]Piotr Zelasko, Siyuan Feng, Laureano Moro-Velázquez, Ali Abavisani, Saurabhchand Bhati, Odette Scharenborg, Mark Hasegawa-Johnson, Najim Dehak:
Discovering Phonetic Inventories with Crosslingual Automatic Speech Recognition. CoRR abs/2201.11207 (2022) - [i13]Saurabh Kataria, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak:
Joint domain adaptation and speech bandwidth extension using time-domain GANs for speaker verification. CoRR abs/2203.16614 (2022) - [i12]Jaejin Cho, Raghavendra Pappagari, Piotr Zelasko, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak:
Non-Contrastive Self-Supervised Learning of Utterance-Level Speech Representations. CoRR abs/2208.05413 (2022) - [i11]Jaejin Cho, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak:
Non-Contrastive Self-supervised Learning for Utterance-Level Information Extraction from Speech. CoRR abs/2208.05445 (2022) - 2021
- [j10]Jorge Andrés Gómez García, Laureano Moro-Velázquez, Julián D. Arias-Londoño, Juan Ignacio Godino-Llorente:
On the design of automatic voice condition analysis systems. Part III: review of acoustic modelling strategies. Biomed. Signal Process. Control. 66: 102049 (2021) - [j9]Laureano Moro-Velázquez, Jorge Andrés Gómez García, Julián D. Arias-Londoño, Najim Dehak, Juan Ignacio Godino-Llorente:
Advances in Parkinson's Disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects. Biomed. Signal Process. Control. 66: 102418 (2021) - [j8]Sonal Joshi, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
Study of Pre-Processing Defenses Against Adversarial Attacks on State-of-the-Art Speaker Recognition Systems. IEEE Trans. Inf. Forensics Secur. 16: 4811-4826 (2021) - [c19]Raghavendra Pappagari, Piotr Zelasko, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak:
Beyond Isolated Utterances: Conversational Emotion Recognition. ASRU 2021: 39-46 - [c18]Laureano Moro-Velázquez, Jorge Gómez-García, Najim Dehak, Juan Ignacio Godino-Llorente:
New tools for the differential evaluation of Parkinson's disease using voice and speech processing. IberSPEECH 2021 - [c17]Raghavendra Pappagari, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
CopyPaste: An Augmentation Method for Speech Emotion Recognition. ICASSP 2021: 6324-6328 - [c16]Siyuan Feng, Piotr Zelasko, Laureano Moro-Velázquez, Ali Abavisani, Mark Hasegawa-Johnson, Odette Scharenborg, Najim Dehak:
How Phonotactics Affect Multilingual and Zero-Shot ASR Performance. ICASSP 2021: 7238-7242 - [c15]Saurabhchand Bhati, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation. Interspeech 2021: 366-370 - [c14]Saurabh Kataria, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
Deep Feature CycleGANs: Speaker Identity Preserving Non-Parallel Microphone-Telephone Domain Adaptation for Speaker Verification. Interspeech 2021: 1079-1083 - [c13]Siyuan Feng, Piotr Zelasko, Laureano Moro-Velázquez, Odette Scharenborg:
Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature Representation. Interspeech 2021: 1534-1538 - [c12]Nanxin Chen, Piotr Zelasko, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak:
Align-Denoise: Single-Pass Non-Autoregressive Speech Recognition. Interspeech 2021: 3770-3774 - [c11]Raghavendra Pappagari, Jaejin Cho, Sonal Joshi, Laureano Moro-Velázquez, Piotr Zelasko, Jesús Villalba, Najim Dehak:
Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios. Interspeech 2021: 3825-3829 - [c10]Marc Illa, Bence Mark Halpern, Rob van Son, Laureano Moro-Velázquez, Odette Scharenborg:
Pathological voice adaptation with autoencoder-based voice conversion. SSW 2021: 19-24 - [i10]Sonal Joshi, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
Adversarial Attacks and Defenses for Speaker Identification Systems. CoRR abs/2101.08909 (2021) - [i9]Siyuan Feng, Piotr Zelasko, Laureano Moro-Velázquez, Odette Scharenborg:
Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature Representation. CoRR abs/2104.00994 (2021) - [i8]Saurabhchand Bhati, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation. CoRR abs/2106.02170 (2021) - [i7]Marc Illa, Bence Mark Halpern, Rob van Son, Laureano Moro-Velázquez, Odette Scharenborg:
Pathological voice adaptation with autoencoder-based voice conversion. CoRR abs/2106.08427 (2021) - [i6]Raghavendra Pappagari, Piotr Zelasko, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak:
Beyond Isolated Utterances: Conversational Emotion Recognition. CoRR abs/2109.06112 (2021) - [i5]Saurabhchand Bhati, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
Unsupervised Speech Segmentation and Variable Rate Representation Learning using Segmental Contrastive Predictive Coding. CoRR abs/2110.02345 (2021) - 2020
- [j7]Julián D. Arias-Londoño, Jorge Andrés Gómez García, Laureano Moro-Velázquez, Juan Ignacio Godino-Llorente:
Artificial Intelligence Applied to Chest X-Ray Images for the Automatic Detection of COVID-19. A Thoughtful Evaluation Approach. IEEE Access 8: 226811-226827 (2020) - [j6]Laureano Moro-Velázquez, Estefanía Hernández-García, Jorge Andrés Gómez García, Juan Ignacio Godino-Llorente, Najim Dehak:
Analysis of the Effects of Supraglottal Tract Surgical Procedures in Automatic Speaker Recognition Performance. IEEE ACM Trans. Audio Speech Lang. Process. 28: 798-812 (2020) - [c9]Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak:
Using X-Vectors to Automatically Detect Parkinson's Disease from Speech. ICASSP 2020: 1155-1159 - [c8]Raghavendra Pappagari, Jaejin Cho, Laureano Moro-Velázquez, Najim Dehak:
Using State of the Art Speaker Recognition and Natural Language Processing Technologies to Detect Alzheimer's Disease and Assess its Severity. INTERSPEECH 2020: 2177-2181 - [c7]Piotr Zelasko, Laureano Moro-Velázquez, Mark Hasegawa-Johnson, Odette Scharenborg, Najim Dehak:
That Sounds Familiar: An Analysis of Phonetic Representations Transfer Across Languages. INTERSPEECH 2020: 3705-3709 - [i4]Piotr Zelasko, Laureano Moro-Velázquez, Mark Hasegawa-Johnson, Odette Scharenborg, Najim Dehak:
That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages. CoRR abs/2005.08118 (2020) - [i3]Siyuan Feng, Piotr Zelasko, Laureano Moro-Velázquez, Ali Abavisani, Mark Hasegawa-Johnson, Odette Scharenborg, Najim Dehak:
How Phonotactics Affect Multilingual and Zero-shot ASR Performance. CoRR abs/2010.12104 (2020) - [i2]Raghavendra Pappagari, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
CopyPaste: An Augmentation Method for Speech Emotion Recognition. CoRR abs/2010.14602 (2020) - [i1]Julián D. Arias-Londoño, Jorge Andrés Gómez García, Laureano Moro-Velázquez, Juan Ignacio Godino-Llorente:
Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach. CoRR abs/2011.14259 (2020)
2010 – 2019
- 2019
- [j5]Jorge Andrés Gómez García, Laureano Moro-Velázquez, Juan Ignacio Godino-Llorente:
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. Biomed. Signal Process. Control. 48: 128-143 (2019) - [j4]Laureano Moro-Velázquez, Jorge Andrés Gómez García, Juan Ignacio Godino-Llorente, Jesús Villalba, Jan Rusz, Stefanie Shattuck-Hufnagel, Najim Dehak:
A forced gaussians based methodology for the differential evaluation of Parkinson's Disease by means of speech processing. Biomed. Signal Process. Control. 48: 205-220 (2019) - [j3]Jorge Andrés Gómez García, Laureano Moro-Velázquez, Juan Ignacio Godino-Llorente:
On the design of automatic voice condition analysis systems. Part I: Review of concepts and an insight to the state of the art. Biomed. Signal Process. Control. 51: 181-199 (2019) - [j2]Jorge Andrés Gómez García, Laureano Moro-Velázquez, Janaina Mendes-Laureano, Germán Castellanos-Domínguez, Juan Ignacio Godino-Llorente:
Emulating the perceptual capabilities of a human evaluator to map the GRB scale for the assessment of voice disorders. Eng. Appl. Artif. Intell. 82: 236-251 (2019) - [c6]Saurabhchand Bhati, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak:
LSTM Siamese Network for Parkinson's Disease Detection from Speech. GlobalSIP 2019: 1-5 - [c5]Laureano Moro-Velázquez, Jaejin Cho, Shinji Watanabe, Mark A. Hasegawa-Johnson, Odette Scharenborg, Heejin Kim, Najim Dehak:
Study of the Performance of Automatic Speech Recognition Systems in Speakers with Parkinson's Disease. INTERSPEECH 2019: 3875-3879 - 2018
- [j1]Laureano Moro-Velázquez, Jorge Andrés Gómez García, Juan Ignacio Godino-Llorente, Jesús Villalba, Juan Rafael Orozco-Arroyave, Najim Dehak:
Analysis of speaker recognition methodologies and the influence of kinetic changes to automatically detect Parkinson's Disease. Appl. Soft Comput. 62: 649-666 (2018) - [c4]Julián David Arias-Londoño, Jorge Andrés Gómez García, Laureano Moro-Velázquez, Juan Ignacio Godino-Llorente:
ByoVoz Automatic Voice Condition Analysis System for the 2018 FEMH Challenge. IEEE BigData 2018: 5228-5232 - [c3]Laureano Moro-Velázquez, Jorge Andrés Gómez García, Juan Ignacio Godino-Llorente, Jan Rusz, Sabine Skodda, Francisco Grandas, José-Miguel Velazquez, Juan Rafael Orozco-Arroyave, Elmar Nöth, Najim Dehak:
Study of the Automatic Detection of Parkison's Disease Based on Speaker Recognition Technologies and Allophonic Distillation. EMBC 2018: 1404-1407 - 2015
- [c2]Jorge Andrés Gómez García, Laureano Moro-Velázquez, Juan Ignacio Godino-Llorente, Germán Castellanos-Domínguez:
Automatic age detection in normal and pathological voice. INTERSPEECH 2015: 3739-3743
2000 – 2009
- 2006
- [c1]Beilu Shao, Laureano Moro-Velázquez, Nicolas Scaringella, Neha Singh, Marco Mattavelli:
SMIL to MPEG-4 BIFS Conversion. AXMEDIS 2006: 77-84
Coauthor Index
[j17] [j16] [j15] [c31] [c30] [c29] [i18] [j14] [c28] [c27] [c26] [c25] [c24] [i17] [i16] [i15] [j13] [j12] [j11] [c23] [c22] [c21] [c20] [i14] [i13] [i12] [i11] [j9] [j8] [c19] [c18] [c17] [c16] [c15] [c14] [c12] [c11] [i10] [i8] [i6] [i5] [j6] [c9] [c8] [c7] [i4] [i3] [i2] [j4] [c6] [c5] [j1] [c3]
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