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pro vyhledávání: '"Zheng, Youqiang"'
Autor:
Zheng, Youqiang, Tu, Weiping, Kang, Yueteng, Chen, Jie, Zhang, Yike, Xiao, Li, Yang, Yuhong, Ma, Long
Neural speech codecs have gained great attention for their outstanding reconstruction with discrete token representations. It is a crucial component in generative tasks such as speech coding and large language models (LLM). However, most works based
Externí odkaz:
http://arxiv.org/abs/2412.01053
Neural speech coding is a rapidly developing topic, where state-of-the-art approaches now exhibit superior compression performance than conventional methods. Despite significant progress, existing methods still have limitations in preserving and reco
Externí odkaz:
http://arxiv.org/abs/2407.20530
Recently, speech codecs based on neural networks have proven to perform better than traditional methods. However, redundancy in traditional parameter quantization is visible within the codec architecture of combining the traditional codec with the ne
Externí odkaz:
http://arxiv.org/abs/2307.13295