F3-Tokenizer: Taming Audio Autoencoder Latents for Understanding and Generation 事件

F3-Tokenizer: Taming Audio Autoencoder Latents for Understanding and Generation arXiv:2606.06357v1 Announce Type: cross Abstract: Continuous audio autoencoders reconstruct waveforms well but often produce latents with weak structure for understanding, while self-supervised audio encoders capture semantics but are not directly decodable. This mismatch complicates a single audio tokenizer that must support both understanding and generation. We adapt continuous autoencoder latents to this setting