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Rethinking Speech Codecs: From Compression to Autoregressive Generative Modeling
Recent advances in speech language models leverage discrete speech representations from pretrained codecs to enable scalable training and generation. However, existing codecs are primarily optimized for compression without accounting for the autoregressive nature of language model training, resultin
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