SMIL to MPEG-4 BIFS Conversion. - Beilu Shao; Laureano Moro-Velázquez; Nicolas Scaringella; Neha Singh 002; Marco Mattavelli (AXMEDIS, 2006)

Automatic age detection in normal and pathological voice. - Jorge Andrés Gómez García; Laureano Moro-Velázquez; Juan Ignacio Godino-Llorente; Germán Castellanos-Domínguez (INTERSPEECH, 2015)

ByoVoz Automatic Voice Condition Analysis System for the 2018 FEMH Challenge. - Julián David Arias-Londoño; Jorge Andrés Gómez García; Laureano Moro-Velázquez; Juan Ignacio Godino-Llorente (IEEE BigData, 2018)

Study of the Automatic Detection of Parkison's Disease Based on Speaker Recognition Technologies and Allophonic Distillation. - 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 (EMBC, 2018)

Analysis of speaker recognition methodologies and the influence of kinetic changes to automatically detect Parkinson's Disease. - Laureano Moro-Velázquez; Jorge Andrés Gómez García; Juan Ignacio Godino-Llorente; Jesús Villalba 001; Juan Rafael Orozco-Arroyave; Najim Dehak (Appl. Soft Comput., 2018)

LSTM Siamese Network for Parkinson's Disease Detection from Speech. - Saurabhchand Bhati; Laureano Moro-Velázquez; Jesús Villalba 001; Najim Dehak (GlobalSIP, 2019)

Study of the Performance of Automatic Speech Recognition Systems in Speakers with Parkinson's Disease. - Laureano Moro-Velázquez; Jaejin Cho; Shinji Watanabe 001; Mark A. Hasegawa-Johnson; Odette Scharenborg; Heejin Kim; Najim Dehak (INTERSPEECH, 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. - Jorge Andrés Gómez García; Laureano Moro-Velázquez; Juan Ignacio Godino-Llorente (Biomed. Signal Process. Control., 2019)

On the design of automatic voice condition analysis systems. Part I: Review of concepts and an insight to the state of the art. - Jorge Andrés Gómez García; Laureano Moro-Velázquez; Juan Ignacio Godino-Llorente (Biomed. Signal Process. Control., 2019)

A forced gaussians based methodology for the differential evaluation of Parkinson's Disease by means of speech processing. - Laureano Moro-Velázquez; Jorge Andrés Gómez García; Juan Ignacio Godino-Llorente; Jesús Villalba 001; Jan Rusz; Stefanie Shattuck-Hufnagel; Najim Dehak (Biomed. Signal Process. Control., 2019)

Emulating the perceptual capabilities of a human evaluator to map the GRB scale for the assessment of voice disorders. - Jorge Andrés Gómez García; Laureano Moro-Velázquez; Janaina Mendes-Laureano; Germán Castellanos-Domínguez; Juan Ignacio Godino-Llorente (Eng. Appl. Artif. Intell., 2019)

Using X-Vectors to Automatically Detect Parkinson's Disease from Speech. - Laureano Moro-Velázquez; Jesús Villalba 001; Najim Dehak (ICASSP, 2020)

Using State of the Art Speaker Recognition and Natural Language Processing Technologies to Detect Alzheimer's Disease and Assess its Severity. - Raghavendra Pappagari; Jaejin Cho; Laureano Moro-Velázquez; Najim Dehak (INTERSPEECH, 2020)

That Sounds Familiar: An Analysis of Phonetic Representations Transfer Across Languages. - Piotr Zelasko; Laureano Moro-Velázquez; Mark Hasegawa-Johnson; Odette Scharenborg; Najim Dehak (INTERSPEECH, 2020)

Artificial Intelligence Applied to Chest X-Ray Images for the Automatic Detection of COVID-19. A Thoughtful Evaluation Approach. - Julián D. Arias-Londoño; Jorge Andrés Gómez García; Laureano Moro-Velázquez; Juan Ignacio Godino-Llorente (IEEE Access, 2020)

Analysis of the Effects of Supraglottal Tract Surgical Procedures in Automatic Speaker Recognition Performance. - Laureano Moro-Velázquez; Estefanía Hernández-García; Jorge Andrés Gómez García; Juan Ignacio Godino-Llorente; Najim Dehak (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Beyond Isolated Utterances: Conversational Emotion Recognition. - Raghavendra Pappagari; Piotr Zelasko; Jesús Villalba 001; Laureano Moro-Velázquez; Najim Dehak (ASRU, 2021)

New tools for the differential evaluation of Parkinson's disease using voice and speech processing. - Laureano Moro-Velázquez; Jorge Gómez-García; Najim Dehak; Juan Ignacio Godino-Llorente (IberSPEECH, 2021)

How Phonotactics Affect Multilingual and Zero-Shot ASR Performance. - Siyuan Feng 001; Piotr Zelasko; Laureano Moro-Velázquez; Ali Abavisani; Mark Hasegawa-Johnson; Odette Scharenborg; Najim Dehak (ICASSP, 2021)

CopyPaste: An Augmentation Method for Speech Emotion Recognition. - Raghavendra Pappagari; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (ICASSP, 2021)

Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation. - Saurabhchand Bhati; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (Interspeech, 2021)

Align-Denoise: Single-Pass Non-Autoregressive Speech Recognition. - Nanxin Chen; Piotr Zelasko; Laureano Moro-Velázquez; Jesús Villalba 001; Najim Dehak (Interspeech, 2021)

Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature Representation. - Siyuan Feng 001; Piotr Zelasko; Laureano Moro-Velázquez; Odette Scharenborg (Interspeech, 2021)

Deep Feature CycleGANs: Speaker Identity Preserving Non-Parallel Microphone-Telephone Domain Adaptation for Speaker Verification. - Saurabh Kataria 001; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (Interspeech, 2021)

Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios. - Raghavendra Pappagari; Jaejin Cho; Sonal Joshi; Laureano Moro-Velázquez; Piotr Zelasko; Jesús Villalba 001; Najim Dehak (Interspeech, 2021)

Pathological voice adaptation with autoencoder-based voice conversion. - Marc Illa; Bence Mark Halpern; Rob van Son; Laureano Moro-Velázquez; Odette Scharenborg (SSW, 2021)

On the design of automatic voice condition analysis systems. Part III: review of acoustic modelling strategies. - Jorge Andrés Gómez García; Laureano Moro-Velázquez; Julián D. Arias-Londoño; Juan Ignacio Godino-Llorente (Biomed. Signal Process. Control., 2021)

Advances in Parkinson's Disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects. - Laureano Moro-Velázquez; Jorge Andrés Gómez García; Julián D. Arias-Londoño; Najim Dehak; Juan Ignacio Godino-Llorente (Biomed. Signal Process. Control., 2021)

Adversarial Attacks and Defenses for Speaker Identification Systems. - Sonal Joshi; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (CoRR, 2021)

Study of Pre-Processing Defenses Against Adversarial Attacks on State-of-the-Art Speaker Recognition Systems. - Sonal Joshi; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (IEEE Trans. Inf. Forensics Secur., 2021)

Non-contrastive self-supervised learning of utterance-level speech representations. - Jaejin Cho; Raghavendra Pappagari; Piotr Zelasko; Laureano Moro-Velázquez; Jesús Villalba 001; Najim Dehak (INTERSPEECH, 2022)

Joint domain adaptation and speech bandwidth extension using time-domain GANs for speaker verification. - Saurabh Kataria 001; Jesús Villalba 001; Laureano Moro-Velázquez; Najim Dehak (INTERSPEECH, 2022)

Vsameter: Evaluation of a New Open-Source Tool to Measure Vowel Space Area and Related Metrics. - Tianyu Cao 003; Laureano Moro-Velázquez; Piotr Zelasko; Jesús Villalba 001; Najim Dehak (SLT, 2022)

A Multi-Modal Array of Interpretable Features to Evaluate Language and Speech Patterns in Different Neurological Disorders. - Anna Favaro; Chelsie Motley; Tianyu Cao 003; Miguel Iglesias; Ankur A. Butala; Esther S. Oh; Robert D. Stevens 002; Jesús Villalba 001; Najim Dehak; Laureano Moro-Velázquez (SLT, 2022)

Discovering phonetic inventories with crosslingual automatic speech recognition. - Piotr Zelasko; Siyuan Feng 001; Laureano Moro-Velázquez; Ali Abavisani; Saurabhchand Bhati; Odette Scharenborg; Mark Hasegawa-Johnson; Najim Dehak (Comput. Speech Lang., 2022)

Non-Contrastive Self-Supervised Learning for Utterance-Level Information Extraction From Speech. - Jaejin Cho; Jesús Villalba 001; Laureano Moro-Velázquez; Najim Dehak (IEEE J. Sel. Top. Signal Process., 2022)

Unsupervised Speech Segmentation and Variable Rate Representation Learning Using Segmental Contrastive Predictive Coding. - Saurabhchand Bhati; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Model-Based Fairness Metric for Speaker Verification. - Maliha Jahan; Laureano Moro-Velázquez; Thomas Thebaud; Najim Dehak; Jesús Villalba 001 (ASRU, 2023)

Segmental SpeechCLIP: Utilizing Pretrained Image-text Models for Audio-Visual Learning. - Saurabhchand Bhati; Jesús Villalba 001; Laureano Moro-Velázquez; Thomas Thebaud; Najim Dehak (INTERSPEECH, 2023)

Do Phonatory Features Display Robustness to Characterize Parkinsonian Speech Across Corpora? - Anna Favaro; Tianyu Cao 003; Thomas Thebaud; Jesús Villalba 001; Ankur A. Butala; Najim Dehak; Laureano Moro-Velázquez (INTERSPEECH, 2023)

Self-FiLM: Conditioning GANs with self-supervised representations for bandwidth extension based speaker recognition. - Saurabh Kataria 001; Jesús Villalba 001; Laureano Moro-Velázquez; Thomas Thebaud; Najim Dehak (INTERSPEECH, 2023)

DuTa-VC: A Duration-aware Typical-to-atypical Voice Conversion Approach with Diffusion Probabilistic Model. - Helin Wang; Thomas Thebaud; Jesús Villalba 001; Myra Sydnor; Becky Lammers; Najim Dehak; Laureano Moro-Velázquez (INTERSPEECH, 2023)

Stabilized training of joint energy-based models and their practical applications. - Martin Sustek; Samik Sadhu; Lukás Burget; Hynek Hermansky; Jesús Villalba 001; Laureano Moro-Velázquez; Najim Dehak (CoRR, 2023)

Leveraging Pretrained Image-text Models for Improving Audio-Visual Learning. - Saurabhchand Bhati; Jesús Villalba 001; Laureano Moro-Velázquez; Thomas Thebaud; Najim Dehak (CoRR, 2023)

Time Scale Network: A Shallow Neural Network For Time Series Data. - Trevor Meyer 001; Camden Shultz; Najim Dehak; Laureano Moro-Velázquez; Pedro P. Irazoqui (CoRR, 2023)

Interpretable speech features vs. DNN embeddings: What to use in the automatic assessment of Parkinson's disease in multi-lingual scenarios. - Anna Favaro; Yi-Ting Tsai; Ankur A. Butala; Thomas Thebaud; Jesús Villalba 001; Najim Dehak; Laureano Moro-Velázquez (Comput. Biol. Medicine, 2023)

Finding Spoken Identifications: Using GPT-4 Annotation for an Efficient and Fast Dataset Creation Pipeline. - Maliha Jahan; Helin Wang; Thomas Thebaud; Yinglun Sun; Giang Ha Le; Zsuzsanna Fagyal; Odette Scharenborg; Mark Hasegawa-Johnson; Laureano Moro-Velázquez; Najim Dehak (LREC/COLING, 2024)

Concurrent validity of instrumented insoles measuring gait and balance metrics in Parkinson's disease. - Sophia A. Watkinson; Anthony J. Anderson; Michael Caiola; David Eguren; Michael Gonzalez 005; Laureano Moro-Velázquez; Najim Dehak; Chelsey Motley; Emile Moukheiber; Kelly Mills; Brittney C. Muir; Ankur A. Butala; et al. (EMBC, 2024)

Multimodal Emotion Recognition Harnessing the Complementarity of Speech, Language, and Vision. - Thomas Thebaud; Anna Favaro; Yaohan Guan; Yuchen Yang; Prabhav Singh; Jesús Villalba 001; Laureano Moro-Velázquez; Najim Dehak (ICMI, 2024)

Leveraging Universal Speech Representations for Detecting and Assessing the Severity of Mild Cognitive Impairment Across Languages. - Anna Favaro; Tianyu Cao 003; Najim Dehak; Laureano Moro-Velázquez (INTERSPEECH, 2024)

Noise-robust Speech Separation with Fast Generative Correction. - Helin Wang; Jesús Villalba 001; Laureano Moro-Velázquez; Jiarui Hai; Thomas Thebaud; Najim Dehak (INTERSPEECH, 2024)

Exploring the Complementary Nature of Speech and Eye Movements for Profiling Neurological Disorders. - Yuzhe Wang; Anna Favaro; Thomas Thebaud; Jesús Villalba 001; Najim Dehak; Laureano Moro-Velázquez (INTERSPEECH, 2024)

CA-SSLR: Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing. - Yen-Ju Lu; Jing Liu; Thomas Thebaud; Laureano Moro-Velázquez; Ariya Rastrow; Najim Dehak; Jesús Villalba 001 (NeurIPS, 2024)

Discovering Invariant Patterns of Cognitive Decline Via an Automated Analysis of the Cookie Thief Picture Description Task. - Anna Favaro; Najim Dehak; Thomas Thebaud; Jesús Villalba 001; Esther S. Oh; Laureano Moro-Velázquez (Odyssey, 2024)

Odyssey 2024 - Speech Emotion Recognition Challenge: Dataset, Baseline Framework, and Results. - Lucas Goncalves; Ali N. Salman; Abinay Reddy Naini; Laureano Moro-Velázquez; Thomas Thebaud; Paola García 001; Najim Dehak; Berrak Sisman; Carlos Busso (Odyssey, 2024)

Explainable Metrics for the Assessment of Neurodegenerative Diseases through Handwriting Analysis. - Thomas Thebaud; Anna Favaro; Casey Chen; Gabriel Chávez; Laureano Moro-Velázquez; Ankur A. Butala; Najim Dehak (CoRR, 2024)

Slowness Regularized Contrastive Predictive Coding for Acoustic Unit Discovery. - Saurabhchand Bhati; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Time-Domain Speech Super-Resolution With GAN Based Modeling for Telephony Speaker Verification. - Saurabh Kataria 001; Jesús Villalba 001; Laureano Moro-Velázquez; Piotr Zelasko; Najim Dehak (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Automating the analysis of eye movement for different neurodegenerative disorders. - Deming Li; Ankur A. Butala; Laureano Moro-Velázquez; Trevor Meyer 001; Esther S. Oh; Chelsey Motley; Jesús Villalba 001; Najim Dehak (Comput. Biol. Medicine, 2024)

Unveiling Performance Bias in ASR Systems: A Study on Gender, Age, Accent, and More. - Maliha Jahan; Priyam Mazumdar; Thomas Thebaud; Mark Hasegawa-Johnson; Jesús Villalba 001; Najim Dehak; Laureano Moro-Velázquez (ICASSP, 2025)

Detecting Neurodegenerative Diseases using Frame-Level Handwriting Embeddings. - Sarah Laouedj; Yuzhe Wang; Jesús Villalba 001; Thomas Thebaud; Laureano Moro-Velázquez; Najim Dehak (ICASSP, 2025)

Impact of Temporal Precision on Speech Synthesis Accuracy From Electrocorticographic Brain Signals. - Qinwan Rabbani; Matthew S. Fifer; Nathan E. Crone; Laureano Moro-Velázquez (ICASSP, 2025)

Deep Stroop: Integrating eye tracking and speech processing to characterize people with neurodegenerative disorders while performing neuropsychological tests. - Trevor Meyer 001; Anna Favaro; Esther S. Oh; Ankur A. Butala; Chelsie Motley; Pedro P. Irazoqui; Najim Dehak; Laureano Moro-Velázquez (Comput. Biol. Medicine, 2025)

Time Scale Network: An Efficient Shallow Neural Network for Time Series Data in Biomedical Applications. - Trevor Meyer 001; Camden Shultz; Najim Dehak; Laureano Moro-Velázquez; Pedro P. Irazoqui (IEEE J. Sel. Top. Signal Process., 2025)

Automatic Proficiency Assessment in L2 English Learners. - Armita Mohammadi; Alessandro Lameiras Koerich; Laureano Moro-Velázquez; Patrick Cardinal (CoRR, 2025)

Vox-Profile: A Speech Foundation Model Benchmark for Characterizing Diverse Speaker and Speech Traits. - Tiantian Feng; Jihwan Lee; Anfeng Xu; Yoonjeong Lee; Thanathai Lertpetchpun; Xuan Shi; Helin Wang; Thomas Thebaud; Laureano Moro-Velázquez; Dani Byrd; Najim Dehak; Shrikanth Narayanan (CoRR, 2025)

SoloSpeech: Enhancing Intelligibility and Quality in Target Speech Extraction through a Cascaded Generative Pipeline. - Helin Wang; Jiarui Hai; Dongchao Yang; Chen Chen 075; Kai Li; Junyi Peng; Thomas Thebaud; Laureano Moro-Velázquez; Jesús Villalba 001; Najim Dehak (CoRR, 2025)

CapSpeech: Enabling Downstream Applications in Style-Captioned Text-to-Speech. - Helin Wang; Jiarui Hai; Dading Chong; Karan Thakkar; Tiantian Feng; Dongchao Yang; Junhyeok Lee; Laureano Moro-Velázquez; Jesús Villalba 001; Zengyi Qin; Shrikanth Narayanan; Mounya Elhilali; et al. (CoRR, 2025)