End-To-End Neural Network Based Automated Speech Scoring
- Author(s):
- Suendermann-Oeft, David; Chen, Lei; Tao, Jidong; Ghaffarzadegan, Shabnam; Qian, Yao
- Patent Issued:
- Mar 02, 2021
- Patent Number:
- 10,937,444
- Source:
- ETS Patent
- Document Type:
- Patent
- Family ID:
- 74682983
- Subject/Key Words:
- Patent, Active Patent, Automated Scoring, Neural Networks, Linear Regression, Automated Scoring of Speech, Automatic Speech Recognition
Abstract
A system for end-to-end automated scoring is disclosed. The system includes a word embedding layer for converting a plurality of ASR outputs into input tensors; a neural network lexical model encoder receiving the input tensors; a neural network acoustic model encoder implementing AM posterior probability, word duration, mean value of pitch and mean value of intensity based on a plurality of cues; and a linear regression module, for receiving concatenated encoded features from the neural network lexical model encoder and the neural network acoustic model encoder.