arXiv:2605.27840v2 Announce Type: replace-cross
Abstract: Audio tokenizers are fundamental to unifying audio understanding and generation. Understanding requires high-level semantics, while generatio...
By Zhisheng Zhang, Xiang Li, Yixuan Zhou, Jing Peng, Guoyang Zeng, Zhiyong Wu
BRIDLE is a self‑supervised encoder pretraining framework that extends bidirectional training to audio, image, and video by incorporating residual quantization (RQ) with multiple hierarchical codebooks. This approach allows fine‑grained discretization of latent representations and interleaves training between the encoder and tokenizer. Experiments show that BRIDLE achieves state‑of‑the‑art results on audio classification benchmarks and competitive performance on image and video classification tasks, outperforming traditional vector‑quantization methods.
By Hoang M. Nguyen, Satya N. Shukla, Qiang Zhang, Hanchao Yu, Sreya D. Roy, Dipesh Tamboli, Taipeng Tian, Lingjiong Zhu, Yuchen Liu
arXiv:2606. 27320v1 Announce Type: cross Abstract: Neural audio autoencoders have become a core component of compression, feature extraction, and generation.
By Dimitrios Bralios, Paris Smaragdis, Minje Kim
arXiv:2606. 02739v1 Announce Type: cross Abstract: Audio tokenizers serve as the discrete interface between continuous audio and Audio Language Models (ALMs), but existing tokenizers often struggle to support both understanding and generation.
By Hui Li, Yangfan Gao, Junlin Shang, Changhao Jiang, Tao Gui, Qi Zhang, Xuanjing Huang
arXiv:2606. 30356v1 Announce Type: cross Abstract: We propose Online Latent prediction with Invariant Views and rEconstruction (OLIVE), a self-supervised speech representation learning framework that jointly optimizes analysis and synthesis objectives.
By Karl El Hajal, Mathew Magimai. -Doss
arXiv:2605.29948v3 Announce Type: replace-cross
Abstract: Unified speech foundation models require a holistic tokenization space that is both learnable by language models and decodable into high-qual...
By Bohan Li, Shi Lian, Hankun Wang, Yiwei Guo, Yu Xi, Zhihan Li, Da Zheng, Colin Zhang, Kai Yu