Kuangwei Chen

Scaling Transformers for End-to-End Discrete Audio Tokenization

Discrete audio tokenizers are fundamental to empowering large language models with native audio processing and generation capabilities. Despite recent progress, existing approaches often rely on pretrained encoders, semantic distillation, or heterogeneous CNN-based architectures. These designs intro…