More than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech
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Abstract (arXiv)
In this paper we present VDTTS, a Visually-Driven Text-to-Speech model. Motivated by dubbing, VDTTS takes advantage of video frames as an additional input alongside text, and generates speech that matches the video signal. We demonstrate how this allows VDTTS to, unlike plain TTS models, generate speech that not only has prosodic variations like natural pauses and pitch, but is also synchronized to the input video. Experimentally, we show our model produces well-synchronized outputs, approaching the video-speech synchronization quality of the ground-truth, on several challenging benchmarks including "in-the-wild" content from VoxCeleb2. Supplementary demo videos demonstrating video-speech synchronization, robustness to speaker ID swapping, and prosody, presented at the project page.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 45 of its 62 references that are in the map. First posted on arXiv 19 Nov 2021.
Builds on
45 of 62 references.
References · 45
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33 more
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Built on by
Citing papers per year: 2022: 3; 2023: 1; 2024: 4; 2025: 4.
12 papers.
- 2022Learning to Dub Movies via Hierarchical Prosody Modelscited by 28
- 2024StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbingcited by 20
- 2022ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancementcited by 8
- 2025AlignDiT: Multimodal Aligned Diffusion Transformer for Synchronized Speech Generationcited by 6
- 2024V2SFlow: Video-to-Speech Generation with Speech Decomposition and Rectified Flowcited by 5
- 2025DeepAudio-V1:Towards Multi-Modal Multi-Stage End-to-End Video to Speech and Audio Generationcited by 5
- 2023High-Quality Automatic Voice Over with Accurate Alignment: Supervision through Self-Supervised Discrete Speech Unitscited by 4
- 2024Mechanisms of Multimodal Synchronization: Insights from Decoder-Based Video-Text-to-Speech Synthesiscited by 2
- 2024Towards Expressive Video Dubbing with Multiscale Multimodal Context Interactioncited by 2
- 2022Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel's Weekly Video Podcastscited by 0
- 2025Towards Film-Making Production Dialogue, Narration, Monologue Adaptive Moving Dubbing Benchmarkscited by 0
- 2025MM-MovieDubber: Towards Multi-Modal Learning for Multi-Modal Movie Dubbingcited by 0
- 2025MM-MovieDubber: Towards Multi-Modal Learning for Multi-Modal Movie Dubbing22 May 2025
- 2025Towards Film-Making Production Dialogue, Narration, Monologue Adaptive Moving Dubbing Benchmarks30 Apr 2025
- 2025AlignDiT: Multimodal Aligned Diffusion Transformer for Synchronized Speech Generation29 Apr 2025
- 2025DeepAudio-V1:Towards Multi-Modal Multi-Stage End-to-End Video to Speech and Audio Generation28 Mar 2025
- 2024Towards Expressive Video Dubbing with Multiscale Multimodal Context Interaction25 Dec 2024
- 2024V2SFlow: Video-to-Speech Generation with Speech Decomposition and Rectified Flow29 Nov 2024
- 2024Mechanisms of Multimodal Synchronization: Insights from Decoder-Based Video-Text-to-Speech Synthesis26 Nov 2024
- 2024StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing20 Feb 2024
- 2023High-Quality Automatic Voice Over with Accurate Alignment: Supervision through Self-Supervised Discrete Speech Units29 Jun 2023
- 2022ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement21 Dec 2022
- 2022Learning to Dub Movies via Hierarchical Prosody Models8 Dec 2022
- 2022Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel's Weekly Video Podcasts24 May 2022