23 citations · 32 across the 5 of their papers we have counts for
4 papers · 1 filter
Universal Speech Token Learning via Low-Bitrate Neural Codec and Pretrained Representations
Xue Jiang, Xiulian Peng, Yuan Zhang +1
Current large speech language models are mainly based on semantic tokens from discretization of self-supervised learned representations and acoustic tokens from a neural codec, fol…
Disentangled Feature Learning for Real-Time Neural Speech Coding
Xue Jiang, Xiulian Peng, Yuan Zhang +1
Recently end-to-end neural audio/speech coding has shown its great potential to outperform traditional signal analysis based audio codecs. This is mostly achieved by following the…
Latent-Domain Predictive Neural Speech Coding
Xue Jiang, Xiulian Peng, Huaying Xue +2
Neural audio/speech coding has recently demonstrated its capability to deliver high quality at much lower bitrates than traditional methods. However, existing neural audio/speech c…
End-to-End Neural Speech Coding for Real-Time Communications
Xue Jiang, Xiulian Peng, Chengyu Zheng +3
Deep-learning based methods have shown their advantages in audio coding over traditional ones but limited attention has been paid on real-time communications (RTC). This paper prop…