mlsanityData to 14 Oct 2026

Diff-TTSG: Denoising probabilistic integrated speech and gesture synthesis

arXiv 2306.09417 ↗First posted 15 Jun 2023eess.AS cs.AI cs.CVcited by 13

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Abstract (arXiv)

With read-aloud speech synthesis achieving high naturalness scores, there is a growing research interest in synthesising spontaneous speech. However, human spontaneous face-to-face conversation has both spoken and non-verbal aspects (here, co-speech gestures). Only recently has research begun to explore the benefits of jointly synthesising these two modalities in a single system. The previous state of the art used non-probabilistic methods, which fail to capture the variability of human speech and motion, and risk producing oversmoothing artefacts and sub-optimal synthesis quality. We present the first diffusion-based probabilistic model, called Diff-TTSG, that jointly learns to synthesise speech and gestures together. Our method can be trained on small datasets from scratch. Furthermore, we describe a set of careful uni- and multi-modal subjective tests for evaluating integrated speech and gesture synthesis systems, and use them to validate our proposed approach. Please see https://shivammehta25.github.io/Diff-TTSG/ for video examples, data, and code.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 40 of its 55 references that are in the map. First posted on arXiv 15 Jun 2023.

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40 of 55 references.

References · 40

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28 more
  1. 2021Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speechcited by 447
  2. 2020Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Searchcited by 273
  3. 2020Speech Gesture Generation from the Trimodal Context of Text, Audio, and Speaker Identitycited by 202
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  5. 2021A Survey on Neural Speech Synthesiscited by 184
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  7. 2021Diff-TTS: A Denoising Diffusion Model for Text-to-Speechcited by 157
  8. 2022NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Qualitycited by 152
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  11. 2022ZeroEGGS: Zero-shot Example-based Gesture Generation from Speechcited by 84
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  13. 2021WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesiscited by 65
  14. 2022The GENEA Challenge 2022: A large evaluation of data-driven co-speech gesture generationcited by 40
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  24. 2021Passing a Non-verbal Turing Test: Evaluating Gesture Animations Generated from Speechcited by 11
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  26. 2022OverFlow: Putting flows on top of neural transducers for better TTScited by 8
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