◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Rodrigo Mira

Imperial College London

15 papers hereh-index 9541 citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author12

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • cs.SD4
  • cs.LG3
affiliations
  • Imperial College London
Homepage

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedEnd-to-End Video-To-Speech Synthesis using Generative Adversarial Networks

52 citations · 70 across the 15 of their papers we have counts for

collaborators
Showing cs.SDShow all

4 papers · 1 filter

cs.SD2025

Contextual Speech Extraction: Leveraging Textual History as an Implicit Cue for Target Speech Extraction

Minsu Kim, Rodrigo Mira, Honglie Chen +2

In this paper, we investigate a novel approach for Target Speech Extraction (TSE), which relies solely on textual context to extract the target speech. We refer to this task as Con…

cs.SD2024

RT-LA-VocE: Real-Time Low-SNR Audio-Visual Speech Enhancement

Honglie Chen, Rodrigo Mira, Stavros Petridis +1

In this paper, we aim to generate clean speech frame by frame from a live video stream and a noisy audio stream without relying on future inputs. To this end, we propose RT-LA-VocE…

cs.SD2022★ 1 cited

LA-VocE: Low-SNR Audio-visual Speech Enhancement using Neural Vocoders

Rodrigo Mira, Buye Xu, Jacob Donley +4

Audio-visual speech enhancement aims to extract clean speech from a noisy environment by leveraging not only the audio itself but also the target speaker's lip movements. This appr…

cs.SD2022★ 1 cited

SVTS: Scalable Video-to-Speech Synthesis

Rodrigo Mira, Alexandros Haliassos, Stavros Petridis +2

Video-to-speech synthesis (also known as lip-to-speech) refers to the translation of silent lip movements into the corresponding audio. This task has received an increasing amount…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.