Guohong Ding — accepted AI-conference papers

2021

Neural Kalman Filtering for Speech Enhancement

Wei Xue, Gang Quan, Chao Zhang, Guohong Ding, Xiaodong He, Bowen Zhou

ICASSP 2021accepted

Conventional learning-based speech enhancement methods usually utilize existing building blocks to design the deep neural networks (DNNs), while how to effectively integrate the statistical signal processing based schemes, which are expert-knowledge driven and could ameliorate the over-fitting probl…

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2019

Deep Speaker Embedding Learning with Multi-level Pooling for Text-independent Speaker Verification

Yun Tang, Guohong Ding, Jing Huang, Xiaodong He, Bowen Zhou

ICASSP 2019accepted

This paper aims to improve the widely used deep speaker embedding x-vector model. We propose the following improvements: (1) a hybrid neural network structure using both time delay neural network (TDNN) and long short-term memory neural networks (LSTM) to generate complementary speaker information a…

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