Sketching With Your Voice: "Non-Phonorealistic" Rendering of Sounds via Vocal Imitation
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Abstract (arXiv)
We present a method for automatically producing human-like vocal imitations of sounds: the equivalent of "sketching," but for auditory rather than visual representation. Starting with a simulated model of the human vocal tract, we first try generating vocal imitations by tuning the model's control parameters to make the synthesized vocalization match the target sound in terms of perceptually-salient auditory features. Then, to better match human intuitions, we apply a cognitive theory of communication to take into account how human speakers reason strategically about their listeners. Finally, we show through several experiments and user studies that when we add this type of communicative reasoning to our method, it aligns with human intuitions better than matching auditory features alone does. This observation has broad implications for the study of depiction in computer graphics.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 20 of its 96 references that are in the map. First posted on arXiv 20 Sep 2024.
Builds on
20 of 96 references.
References · 20
- 2016WaveNet: A Generative Model for Raw Audiocited by 1,722
- 2020DiffWave: A Versatile Diffusion Model for Audio Synthesiscited by 1,354
- 2023Voicebox: Text-Guided Multilingual Universal Speech Generation at Scalecited by 379
- 2020FSD50K: An Open Dataset of Human-Labeled Sound Eventscited by 342
- 2015Visually Indicated Soundscited by 128
- 2018SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesiscited by 81
- 2016Scribbler: Controlling Deep Image Synthesis with Sketch and Colorcited by 78
- 2016Reasoning About Pragmatics with Neural Listeners and Speakerscited by 68
- 2022CLIPasso: Semantically-Aware Object Sketchingcited by 57
- 2015Sketch-based 3D Shape Retrieval using Convolutional Neural Networkscited by 41
- 2020Program Synthesis with Pragmatic Communicationcited by 15
- 2022Virtuoso: Massive Multilingual Speech-Text Joint Semi-Supervised Learning for Text-To-Speechcited by 15
8 more
- 2023SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstractioncited by 14
- 2022Designing Perceptual Puzzles by Differentiating Probabilistic Programscited by 12
- 2024Block and Detail: Scaffolding Sketch-to-Image Generationcited by 9
- 2018Line Drawings from 3D Modelscited by 7
- 2023Acting as Inverse Inverse Planningcited by 5
- 2021Onoma-to-wave: Environmental sound synthesis from onomatopoeic wordscited by 4
- 2021Learning Evolved Combinatorial Symbols with a Neuro-symbolic Generative Modelcited by 3
- 2022Visual onoma-to-wave: environmental sound synthesis from visual onomatopoeias and sound-source imagescited by 3
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Citing papers per year: 2026: 1.
1 paper.