Wavelet as Tokenizer: Preliminary Results on a Shared Wavelet Token Schema for Natural Signals
This paper studies whether audio, images, and video can share a common wavelet token schema rather than relying on separate modality-specific latent grids. It introduces a preliminary continuous-token model built around a one-level Haar DWT/IDWT frontend, a shared coefficient-token layout, optional structural metadata, lightweight modality value adapters, and a shared token-wise encoder-decoder trunk. On Speech Commands, EuroSAT RGB, and DAVIS 2017 data, a dense shared model reaches 39.92 dB audio, 29.37 dB image, and 23.93 dB video PSNR. A matched-rate sweep under continuous latent scalar budgets indicates that the visual gains are not explained solely by latent capacity, while also show...
| Authors | Shenghao Ding |
|---|---|
| Primary category | eess.AS |
| Published | 30 May 2026 |
| Last updated at source | 30 May 2026 |
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