Look, Listen and Recognise: Character-Aware Audio-Visual Subtitling

Fuente: arXiv
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Main Authors: Korbar, Bruno, Huh, Jaesung, Zisserman, Andrew
Format: Preprint
Published: 2024
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author Korbar, Bruno
Huh, Jaesung
Zisserman, Andrew
author_facet Korbar, Bruno
Huh, Jaesung
Zisserman, Andrew
contents The goal of this paper is automatic character-aware subtitle generation. Given a video and a minimal amount of metadata, we propose an audio-visual method that generates a full transcript of the dialogue, with precise speech timestamps, and the character speaking identified. The key idea is to first use audio-visual cues to select a set of high-precision audio exemplars for each character, and then use these exemplars to classify all speech segments by speaker identity. Notably, the method does not require face detection or tracking. We evaluate the method over a variety of TV sitcoms, including Seinfeld, Fraiser and Scrubs. We envision this system being useful for the automatic generation of subtitles to improve the accessibility of the vast amount of videos available on modern streaming services. Project page : \url{https://www.robots.ox.ac.uk/~vgg/research/look-listen-recognise/}
format Preprint
id arxiv_https___arxiv_org_abs_2401_12039
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Look, Listen and Recognise: Character-Aware Audio-Visual Subtitling
Korbar, Bruno
Huh, Jaesung
Zisserman, Andrew
Computer Vision and Pattern Recognition
Sound
Audio and Speech Processing
The goal of this paper is automatic character-aware subtitle generation. Given a video and a minimal amount of metadata, we propose an audio-visual method that generates a full transcript of the dialogue, with precise speech timestamps, and the character speaking identified. The key idea is to first use audio-visual cues to select a set of high-precision audio exemplars for each character, and then use these exemplars to classify all speech segments by speaker identity. Notably, the method does not require face detection or tracking. We evaluate the method over a variety of TV sitcoms, including Seinfeld, Fraiser and Scrubs. We envision this system being useful for the automatic generation of subtitles to improve the accessibility of the vast amount of videos available on modern streaming services. Project page : \url{https://www.robots.ox.ac.uk/~vgg/research/look-listen-recognise/}
title Look, Listen and Recognise: Character-Aware Audio-Visual Subtitling
topic Computer Vision and Pattern Recognition
Sound
Audio and Speech Processing
url https://arxiv.org/abs/2401.12039