A Preliminary Analysis on the Correlates of Stress and Tones in Mizo

Author:

Ramdinmawii Esther1ORCID,Nath Sanghamitra1ORCID

Affiliation:

1. Dept. of CSE, Tezpur University, Assam, Napaam, India

Abstract

Stress is the property of a language to exhibit prominence or distinction in one or more syllables in a given domain. The existence of word stress has not been suitably explored in previous acoustic studies of the Mizo language, which is a tonal language of the Kuki-Chin sub-category in Tibeto-Burman language families. In this study, we attempt to analyze word stress on disyllabic target words, specifically in three lexical categories— adjectives, nouns, and verbs . Utterances of the target words are recorded in isolated setting (out of focus) and in sentence frames (in focus). First, averages of features, namely— duration, intensity, F0, formants , and spectral tilt , are extracted and investigated for identification of stressed and unstressed syllables on a total of 2,880 samples. Next, the interaction of word stress on the four tones of Mizo is investigated. While it is found that H-tone is generally stressed, inferences are made that stressed syllables are not unique to a specific tone. Third, significance of the selected features are validated using a two-tailed paired sample t -test. Our analysis indicates that the mean differences in duration, intensity, and F0 of the stressed and unstressed syllables are significant across the lexical categories at p < 0.05. Next, validations on the significance of the mean differences are carried out using Cohen’s d effect size and Pearson’s Correlation Coefficient ( r ). Finally, three machine learning models—Support Vector Machines (SVM), Naive Baye’s, and Ensemble learning methods (AdaBoost and Boosted Aggregation), are used to identify stressed and unstressed syllables associated with tones in Mizo. Discriminating differences, especially in disyllabic verbs , are observed between stressed vs. unstressed syllables. Conclusions are drawn that duration is a strong and robust cue for acoustic correlates of stress, while intensity is a medium cue for stress and F0 a weak cue for stress.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference58 articles.

1. Identification of Rules for Recognition of Named Entity Classes in Mizo Language

2. The Use of Praat in Corpus Research

3. Nick Campbell and Mary Beckman. 1997. Stress, prominence, and spectral tilt. In Proceedings of ESCA Workshop on Intonation: Theory, Models and Applications. ISCA, 67–70.

4. Stress patterns and acoustic correlates of stress in Balti Tibetan

5. Phonetic cues to stress in a Tonal language: Prosodic prominence in San Lucas Quiaviní Zapotec;Chávez-Peón Mario E.;Proceedings of the Annual Conference of the Canadian Linguistic Association,2008

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Resource building and classification of Mizo folk songs;Natural Language Processing;2024-05-23

2. Acoustic Characterization of Mizo Folk Songs;2024 National Conference on Communications (NCC);2024-02-28

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