Research on Speech Feature Extraction System in Oral English
Jinhuan Wang, Yan Li, Zehui Xue, Chunxiang Li
Available Online October 2019.
- https://doi.org/10.2991/icedem-19.2019.3How to use a DOI?
- corpus marking; LPC algorithm; MATLAB
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/icedem-19.2019.3 ID - Wang2019/10 ER -