Replay Speech Answer-Sheet Detection on Intelligent Language Learning System Based on Power Spectrum Decomposition
Replay speech answer-sheet detection is an urgent problem to be solved for intelligent language learning system. Traditional features used in replay speech detection are often extracted from power spectrum. However, power spectrum may not be the optimal spectrum to extract feature for replay speech...
Main Authors: | Qingzhu Wu, Shaowei Xiong, Zhengyu Zhu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9490247/ |
Similar Items
-
THE FUTURE, THE CRISIS, AND THE FUTURE OF REPLAY STORY
by: Eleonora Teresa Imbierowicz
Published: (2021-06-01) -
A Wideband Spectrum Sensing Approach for Cognitive Radios Based on Cepstral Analysis
by: Azza Moawad, et al.
Published: (2020-01-01) -
On Event Reproduction Ratio in Stateless and Stateful Replay of Real-World Traffic
by: Ying-Dar Lin, et al.
Published: (2013-09-01) -
Audio recordings dataset of genuine and replayed speech at both ends of a telecommunication channel
by: Wei Shang, et al.
Published: (2021-02-01) -
Enhanced Off-Policy Reinforcement Learning With Focused Experience Replay
by: Seung-Hyun Kong, et al.
Published: (2021-01-01)