Audio codecs affect language model fidelity.
Audio language models (LLMs), instrumental in progressing speech, music, and sound generation tasks, rely on acoustic codecs to process data. These codecs, originally engineered for efficient data compression, may not always preserve the full meaning during encoding and decoding processes. The innovative X-Codec seeks to bridge this gap by integrating a pre-trained semantic encoder. It also introduces a unique semantic reconstruction loss feature, boosting the LLMs’ ability to perform more effectively across a variety of audio applications.
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](https://arxiv.org/abs/2408.17175)