Research on Speech Feature Extraction System in Oral English

DOI

10.2991/icedem-19.2019.3How to use a DOI?

Keywords

corpus marking; LPC algorithm; MATLAB

Abstract

This paper analyzes and studies the problems existing in oral practice, proposes a study of speech feature extraction system in oral practice, and uses MALTAB to analyze cepstrum on the extraction of speech signal, to mainly research the same type of feature parameters for reference speech and follow-up speech. Make reference voice and follow-up voice in the same framework of performance according to voice feature, dynamically present in the form of waveforms and graphs, showing differences at multiple angles and levels, and encouraging oral practitioners to continue to improve pronunciation, narrow differences for corpus marking.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jinhuan Wang
AU  - Yan Li
AU  - Zehui Xue
AU  - Chunxiang Li
PY  - 2019/10
DA  - 2019/10
TI  - Research on Speech Feature Extraction System in Oral English
BT  - Proceedings of the 2019 3rd International Conference on Economic Development and Education Management (ICEDEM 2019)
PB  - Atlantis Press
SP  - 9
EP  - 11
SN  - 2352-5398
UR  - https://doi.org/10.2991/icedem-19.2019.3
DO  - 10.2991/icedem-19.2019.3
ID  - Wang2019/10
ER  -