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Laureano Moro-Velazquez

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Improving fairness for spoken language understanding in atypical speech with Text-to-Speech

Nov 16, 2023
Helin Wang, Venkatesh Ravichandran, Milind Rao, Becky Lammers, Myra Sydnor, Nicholas Maragakis, Ankur A. Butala, Jayne Zhang, Lora Clawson, Victoria Chovaz, Laureano Moro-Velazquez

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Time Scale Network: A Shallow Neural Network For Time Series Data

Nov 10, 2023
Trevor Meyer, Camden Shultz, Najim Dehak, Laureano Moro-Velazquez, Pedro Irazoqui

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Leveraging Pretrained Image-text Models for Improving Audio-Visual Learning

Sep 08, 2023
Saurabhchand Bhati, Jesús Villalba, Laureano Moro-Velazquez, Thomas Thebaud, Najim Dehak

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DuTa-VC: A Duration-aware Typical-to-atypical Voice Conversion Approach with Diffusion Probabilistic Model

Jun 18, 2023
Helin Wang, Thomas Thebaud, Jesus Villalba, Myra Sydnor, Becky Lammers, Najim Dehak, Laureano Moro-Velazquez

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Regularizing Contrastive Predictive Coding for Speech Applications

Apr 26, 2023
Saurabhchand Bhati, Jesús Villalba, Piotr Żelasko, Laureano Moro-Velazquez, Najim Dehak

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Stabilized training of joint energy-based models and their practical applications

Mar 07, 2023
Martin Sustek, Samik Sadhu, Lukas Burget, Hynek Hermansky, Jesus Villalba, Laureano Moro-Velazquez, Najim Dehak

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Non-Contrastive Self-supervised Learning for Utterance-Level Information Extraction from Speech

Aug 10, 2022
Jaejin Cho, Jes'us Villalba, Laureano Moro-Velazquez, Najim Dehak

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Non-Contrastive Self-Supervised Learning of Utterance-Level Speech Representations

Aug 10, 2022
Jaejin Cho, Raghavendra Pappagari, Piotr Żelasko, Laureano Moro-Velazquez, Jesús Villalba, Najim Dehak

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Unsupervised Speech Segmentation and Variable Rate Representation Learning using Segmental Contrastive Predictive Coding

Oct 08, 2021
Saurabhchand Bhati, Jesús Villalba, Piotr Żelasko, Laureano Moro-Velazquez, Najim Dehak

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