no code implementations • 24 Jan 2024 • Duzhen Zhang, Yahan Yu, Chenxing Li, Jiahua Dong, Dan Su, Chenhui Chu, Dong Yu
In the past year, MultiModal Large Language Models (MM-LLMs) have undergone substantial advancements, augmenting off-the-shelf LLMs to support MM inputs or outputs via cost-effective training strategies.
1 code implementation • 14 Jul 2021 • Lu Zhang, Chenxing Li, Feng Deng, Xiaorui Wang
In detail, the proposed model follows a two-stage pipeline, which separates the three types of audio signals and then performs signal compensation separately.
Ranked #1 on Multi-task Audio Source Seperation on MTASS
Audio Source Separation Multi-task Audio Source Seperation +3
no code implementations • 25 Jun 2018 • Chenxing Li, Tieqiang Wang, Shuang Xu, Bo Xu
In this paper, we propose a single-channel speech dereverberation system (DeReGAT) based on convolutional, bidirectional long short-term memory and deep feed-forward neural network (CBLDNN) with generative adversarial training (GAT).
1 code implementation • 10 May 2018 • Chenxing Li, Peilun Li, Dong Zhou, Wei Xu, Fan Long
The Conflux consensus protocol represents relationships between blocks as a direct acyclic graph and achieves consensus on a total order of the blocks.
Distributed, Parallel, and Cluster Computing