Laureano Moro-Velázquez

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 62

Top Topics

Automatic Detection

Speaker Verification

Visual Learning

Neurological Disorders

Top Venues

Biomed. Signal Process. Control.

Publications

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)
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)
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 (2024)
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)
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 (2024)
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)
Anna Favaro, Tianyu Cao, Thomas Thebaud, Jesús Villalba, Ankur Butala, Najim Dehak, Laureano Moro-Velázquez
Do Phonatory Features Display Robustness to Characterize Parkinsonian Speech Across Corpora? INTERSPEECH (2023)
Maliha Jahan, Laureano Moro-Velázquez, Thomas Thebaud, Najim Dehak, Jesús Villalba
Model-Based Fairness Metric for Speaker Verification. ASRU (2023)
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)
Trevor Meyer, Camden Shultz, Najim Dehak, Laureano Moro-Velázquez, Pedro Irazoqui
Time Scale Network: A Shallow Neural Network For Time Series Data. CoRR (2023)
Saurabhchand Bhati, Jesús Villalba, Laureano Moro-Velázquez, Thomas Thebaud, Najim Dehak
Leveraging Pretrained Image-text Models for Improving Audio-Visual Learning. CoRR (2023)
Saurabhchand Bhati, Jesús Villalba, Laureano Moro-Velázquez, Thomas Thebaud, Najim Dehak
Segmental SpeechCLIP: Utilizing Pretrained Image-text Models for Audio-Visual Learning. INTERSPEECH (2023)
Martin Sustek, Samik Sadhu, Lukás Burget, Hynek Hermansky, Jesus Villalba, Laureano Moro-Velázquez, Najim Dehak
Stabilized training of joint energy-based models and their practical applications. CoRR (2023)
Anna Favaro, Yi-Ting Tsai, Ankur 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 (2023)
Saurabh Kataria, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak
Joint domain adaptation and speech bandwidth extension using time-domain GANs for speaker verification. CoRR (2022)
Jaejin Cho, Raghavendra Pappagari, Piotr Zelasko, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak
Non-Contrastive Self-Supervised Learning of Utterance-Level Speech Representations. CoRR (2022)
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)
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)
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)
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 (2022)
Jaejin Cho, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak
Non-Contrastive Self-supervised Learning for Utterance-Level Information Extraction from Speech. CoRR (2022)
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) (2022)
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 (2022)
Anna Favaro, Chelsie Motley, Tianyu Cao, Miguel Iglesias, Ankur 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)
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 (2022)
Saurabhchand Bhati, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak
Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation. Interspeech (2021)
Raghavendra Pappagari, Piotr Zelasko, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak
Beyond Isolated Utterances: Conversational Emotion Recognition. CoRR (2021)
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)
Siyuan Feng, Piotr Zelasko, Laureano Moro-Velázquez, Odette Scharenborg
Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature Representation. Interspeech (2021)
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 (2021)
Raghavendra Pappagari, Piotr Zelasko, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak
Beyond Isolated Utterances: Conversational Emotion Recognition. ASRU (2021)
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)
Nanxin Chen, Piotr Zelasko, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak
Align-Denoise: Single-Pass Non-Autoregressive Speech Recognition. Interspeech (2021)
Sonal Joshi, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak
Adversarial Attacks and Defenses for Speaker Identification Systems. CoRR (2021)
Saurabhchand Bhati, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak
Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation. CoRR (2021)
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 (2021)
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 (2021)
Marc Illa, Bence Mark Halpern, Rob van Son, Laureano Moro-Velázquez, Odette Scharenborg
Pathological voice adaptation with autoencoder-based voice conversion. CoRR (2021)
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 (2021)
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)
Siyuan Feng, Piotr Zelasko, Laureano Moro-Velázquez, Odette Scharenborg
Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature Representation. CoRR (2021)
Marc Illa, Bence Mark Halpern, Rob van Son, Laureano Moro-Velázquez, Odette Scharenborg
Pathological voice adaptation with autoencoder-based voice conversion. SSW (2021)
Raghavendra Pappagari, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak
CopyPaste: An Augmentation Method for Speech Emotion Recognition. ICASSP (2021)
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)
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)
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 (2020)
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)
Raghavendra Pappagari, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak
CopyPaste: An Augmentation Method for Speech Emotion Recognition. CoRR (2020)
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 (2020)
Piotr Zelasko, Laureano Moro-Velázquez, Mark Hasegawa-Johnson, Odette Scharenborg, Najim Dehak
That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages. CoRR (2020)
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 (2020)
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 (2020)
Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak
Using X-Vectors to Automatically Detect Parkinson's Disease from Speech. ICASSP (2020)
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 (2019)
Saurabhchand Bhati, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak
LSTM Siamese Network for Parkinson's Disease Detection from Speech. GlobalSIP (2019)
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)
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 (2019)
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 (2019)
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 (2019)
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)
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)
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 (2018)
Jorge Andrés Gómez García, Laureano Moro-Velázquez, Juan Ignacio Godino-Llorente, Germán Castellanos-Domínguez
Automatic age detection in normal and pathological voice. INTERSPEECH (2015)
Beilu Shao, Laureano Moro-Velázquez, Nicolas Scaringella, Neha Singh, Marco Mattavelli
SMIL to MPEG-4 BIFS Conversion. AXMEDIS (2006)