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πŸ‘‹ Hi, my name is Rodrigo and I'm a researcher at Meta AI. Currently, I work in the Behavioural Computing team, led by Maja Pantic, to develop new approaches for generative modelling and self-supervised learning on audio-visual speech.

πŸ“š I completed my BSc in Information Systems and Computer Engineering at Instituto Superior TΓ©cnico, as well as my MSc and PhD in Computing at Imperial College London.

πŸ–₯️ I spent a substantial portion of my PhD interning and working at Meta AI, where I collaborated with multiple teams and developed my PhD research. I also joined Sony R&D in Tokyo briefly after completing my PhD, as a research intern, where I worked on video-to-audio generation.

πŸ”¬πŸ€– My research is focused on deep learning applied to audio-visual speech (i.e., faces, lip movements, and speech). In particular, I am interested in applying self-supervised learning to learn from unlabelled audio-visual speech. I am also interested and have experience in generative modeling, particularly in generating speech using generative adversarial networks (GANs) and diffusion models.

πŸ—£οΈ I have given live talks about my research in multiple conferences including CVPR, Interspeech, and ICASSP. I also engage with the machine learning online community directly through platforms such as Twitter and Reddit.

🎸🎾 During my free time, I enjoy playing the guitar and bass (usually with a band). I also play squash with my colleagues from Imperial College London on a weekly basis.

Rodrigo Mira's Projects

audioldm_eval icon audioldm_eval

This toolbox aims to unify audio generation model evaluation for easier comparison.

bulletin icon bulletin

Helper object for quick visualisation when using pytorch and visdom

evalaudio icon evalaudio

This repo allows you to easily compare audio samples using objective evaluation metrics.

gpen icon gpen

My own version of GPEN, adapted to enhance videos, not images.

hifi-gan icon hifi-gan

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

imagebind icon imagebind

ImageBind One Embedding Space to Bind Them All

midinet icon midinet

This repository contains the source code of MdidNet : A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation

pytorchvideo icon pytorchvideo

A deep learning library for video understanding research.

vocalist icon vocalist

Official repository for the paper VocaLiST: An Audio-Visual Synchronisation Model for Lips and Voices

vovit icon vovit

VoViT: Low Latency Graph-based Audio-Visual VoiceSeparation Transformer

xpl-compiler icon xpl-compiler

Import from a Compilers Project done in a different environment (CVS)

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