Dengfeng Ke

Multi-task learning deep neural networks for speech feature denoising

2015

Traditional automatic speech recognition (ASR) systems usually\nget a sharp performance drop when noise presents in\nspeech. To make a robust ASR, we introduce a new model using\nthe multi-task learning deep neural networks (MTL-DNN)\nto solve the speech …

Research on Multi-round Dialogue Tasks Based on Sequicity

2022 · 2022 7th International Conference on Computer and Communication Systems (ICCCS)

Multi-round dialogue is one of the most practical techniques in natural language processing. The current multi-round dialogue systems generally suffer from contextual information loss and lack of diversity in generated answers. Therefore, we propose a …