Bin Huang

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 …