DS-Codec improves low-bitrate speech codec quality by first training a mirrored codec and then switching to a non-mirrored decoder, while using product quantization to form one large codebook.
A pivotal challenge is the transformation of continuous speech signals into interpretable representations suitable for inference and training within large language models
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DS-Codec: Dual-Stage Training with Mirror-to-NonMirror Architecture Switching for Speech Codec
DS-Codec improves low-bitrate speech codec quality by first training a mirrored codec and then switching to a non-mirrored decoder, while using product quantization to form one large codebook.