ttsdemo

Multi-Stage Deep Transfer Learning for EmIoT-enabled Human-Computer Interaction

Authors: Rui Liu; Qi Liu; Hongxu Zhu; Hui Cao

This paper was accepted by IEEE Internet of Things Journal (IEEE-IoTJ), 2022

Speech samples

Speech samples are available at demo page.

Citing

To cite this repository:

@ARTICLE{9702532,
  author={Liu, Rui and Liu, Qi and Zhu, Hongxu and Cao, Hui},
  journal={IEEE Internet of Things Journal}, 
  title={Multistage Deep Transfer Learning for EmIoT-Enabled Human–Computer Interaction}, 
  year={2022},
  volume={9},
  number={16},
  pages={15128-15137},
  keywords={Speech recognition;Transfer learning;Internet of Things;Bidirectional control;Hidden Markov models;Human computer interaction;Task analysis;Emotional expressiveness;emotional Internet of Things (EmIoT);human–computer interaction (HCI);transfer learning},
  doi={10.1109/JIOT.2022.3148766}}