… joint optimization of masking functions and deep recurrent neural networks for monaural
source … The joint optimization of the deep recurrent neural networks with an extra masking layer …

… in decoding speed and code length. Complementary to this … of neural joint models with
the bandwidthlimited channel. … Channel-AE For training a neural channel coding system, we …

… In this paper, we propose a novel neural speech coding system, with a lightweight design
and scalable performance. First, we design a generic neural waveform codec with only 0.35 …

… Abstract - We consider joint source-channel coding for Internet and … source bitstreams are
protected against noise in both binary symmetric channels (BSC) and packet erasure channels…

… The joint source-channel coding scheme we consider is illustrated in Fig. 3. The … , coauthored
a research monograph on artificial neural networks for computer vision, and coedited a …

… In this paper, a joint coding imaging scheme based on the generative adversarial neural
network is … In this paper, a joint-coding imaging scheme based on generative adversarial …

… To address these challenges, we propose a temporal-spatial neural filter, which directly
estimates the target speech waveform from multi-speaker mixture in reverberant environments, …

… sources demonstrated that our method outperformed existing BSS methods and a joint source
… further extending the neural FCA to handle variable numbers of sound sources and long …

… neural coding. We show how to use information theory to validate simple stimulus–response
models of neural coding … scales contain information in neural coding. This approach shows …

… To better incorporate LPC with neural networks towards scalable waveform coding with low
… Coupled with the other neural network autoencoding modules for the LPC residual coding, …