Research on Language Evolution and Language Diversity Based on Chinese Speech Pitch Deviation Features

Author:

Lang Juanjuan1

Affiliation:

1. 1 Chu Zhou City Vocation College , Chuzhou, Anhui, 239000 , China .

Abstract

Abstract This paper constructs a Chinese speech evaluation system based on the characteristics of the vocal mechanism of Chinese speech and uses the detection framework of statistical speech recognition to realize the automatic detection function of pronunciation bias. Assuming that the amplitude spectra of speech and noise obey the generalized Gamma distribution and Gaussian distribution, respectively, the MMSE estimator of the logarithmic spectrum of the speech signal is derived. The speech presence probability under the generalized Gamma speech model is derived as a correction to the MMSE estimation based on language evolution and diversity features. The correct recognition rate of the proposed algorithm reaches 64%, which indicates that the proposed algorithm can effectively suppress the interference of convolutional noise on the speech signal features and improve the subjective perceptual quality of diverse languages.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Reference20 articles.

1. Farahnaz, F., Juliane, M., & Niousha, P. (2022). Research methods in applied linguistics and language education: current considerations, recent innovations, and future directions. ELT Journal(2), 2.

2. Jürges, Hendrik, Makles, A. M., Naghavi, A., & Schneider, K. (2022). Melting pot kindergarten: the effect of linguistic diversity in early education. Labour Economics, 75.

3. Zenker, F., & Kyle, K. (2021). Investigating minimum text lengths for lexical diversity indices. Assessing Writing, 47, 100505.

4. Pasternak, D. L., Evans, L. M., Allen, K. R., Turner, C. R., & Nix, T. (2020). The sociohistorical evolution of the language of culturally-based pedagogy and its impact on teacher education. Urban Education(2), 004208592095912.

5. Hypolite, L. I., & Stewart, A. M. (2019). Journal of diversity in higher education a critical discourse analysis of institutional responses to the 2016 u.s. presidential election. Journal of Diversity in Higher Education, 14(1), 1-11.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3