Titlebook: Man-Machine Speech Communication; 14th National Confer Jianhua Tao,Thomas Fang Zheng,Ya Li Conference proceedings 2018 Springer Nature Sing

Palliation

Collaborative Learning for Language and Speaker Recognition,rent neural network, where the output of one task is fed in as the input of the other, leading to a collaborative learning framework that can improve both language and speaker recognition by sharing information between the tasks. The preliminary experiments presented in this paper demonstrate that t

案發(fā)地點(diǎn)

HelloNPU: A Corpus for Small-Footprint Wake-Up Word Detection Research, or phrase to activate the speech recognition and understanding modules. The task usually requires low-latency, highly accurate, small-footprint and easily migratory to power limited environment. In this paper, we describe the creation of HelloNPU, a publicly-available corpus that provides a common

Dysarthria

Multi-task Learning in Prediction and Correction for Low Resource Speech Recognition,al Networks (CLDNN) for low resource speech recognition tasks. We trained the multilingual CNN model followed by the MTL using the DNN layers. In the MTL framework the grapheme models are used along with the phone models in the shared hidden layers of deep neural network in order to calculate the st