Voice Attribute Editing with Text Prompt
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Abstract (arXiv)
Despite recent advancements in speech generation with text prompt providing control over speech style, voice attributes in synthesized speech remain elusive and challenging to control. This paper introduces a novel task: voice attribute editing with text prompt, with the goal of making relative modifications to voice attributes according to the actions described in the text prompt. To solve this task, VoxEditor, an end-to-end generative model, is proposed. In VoxEditor, addressing the insufficiency of text prompt, a Residual Memory (ResMem) block is designed, that efficiently maps voice attributes and these descriptors into the shared feature space. Additionally, the ResMem block is enhanced with a voice attribute degree prediction (VADP) block to align voice attributes with corresponding descriptors, addressing the imprecision of text prompt caused by non-quantitative descriptions of voice attributes. We also establish the open-source VCTK-RVA dataset, which leads the way in manual annotations detailing voice characteristic differences among different speakers. Extensive experiments demonstrate the effectiveness and generalizability of our proposed method in terms of both objective and subjective metrics. The dataset and audio samples are available on the website.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 31 of its 56 references that are in the map. First posted on arXiv 13 Apr 2024.
Builds on
31 of 56 references.
References · 31
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19 more
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Built on by
Citing papers per year: 2024: 1; 2025: 6; 2026: 2.
9 papers.
- 2025Scaling Rich Style-Prompted Text-to-Speech Datasetscited by 19
- 2024SoundMorpher: Perceptually-Uniform Sound Morphing with Diffusion Modelcited by 3
- 2025Unispeaker: A Unified Approach for Multimodality-driven Speaker Generationcited by 2
- 2025The Voice Timbre Attribute Detection 2025 Challenge Evaluation Plancited by 2
- 2025Multi-interaction TTS toward professional recording reproductioncited by 2
- 2025Introducing voice timbre attribute detectioncited by 1
- 2025The First Voice Timbre Attribute Detection Challengecited by 0
- 2026RIVET: Robust Idempotent Voice Attribute Editingcited by 0
- 2026Encoder-Decoder Manifold Alignment for Idempotent Generationcited by 0
- 2026Encoder-Decoder Manifold Alignment for Idempotent Generation21 Jun 2026
- 2026RIVET: Robust Idempotent Voice Attribute Editing17 Jun 2026
- 2025The First Voice Timbre Attribute Detection Challenge8 Sep 2025
- 2025Multi-interaction TTS toward professional recording reproduction1 Jul 2025
- 2025Introducing voice timbre attribute detection14 May 2025
- 2025The Voice Timbre Attribute Detection 2025 Challenge Evaluation Plan14 May 2025
- 2025Scaling Rich Style-Prompted Text-to-Speech Datasets6 Mar 2025
- 2025Unispeaker: A Unified Approach for Multimodality-driven Speaker Generation11 Jan 2025
- 2024SoundMorpher: Perceptually-Uniform Sound Morphing with Diffusion Model3 Oct 2024