Identifying acoustic cues for dialect profiling: Policing in multilingual communities of India

Q1 Arts and Humanities Indonesian Journal of Applied Linguistics Pub Date : 2022-09-30 DOI:10.17509/ijal.v12i2.43179
Ravina Toppo, S. Sinha
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引用次数: 0

Abstract

A multilingual country such as India with numerous languages and dialects provides fertile grounds for evasive language crimes. From threat letters to ransom demands, the scope of crime is huge. The cases of illegal immigrants have only added to the fragility of international boundaries especially, during political upheavals. This leads to further vulnerability of society and also creates challenges for the police and law enforcement agencies towards timely intervention. The purpose of the study is to exhibit dialectal variation in Indian English by comparing two varieties. The current paper is based on the acoustic analysis of Indian English spoken by two distinct groups with different mother tongues. Ten native speakers of Hindi and Bangla were recorded in an anechoic chamber. A phonetically balanced passage was selected to be read. The analysis is based on Native Language Influence Detection (Perkins Grant, 2018) to derive acoustic phonetic correlates that can be used as significant identifying markers to distinguish Indian English speakers of Bangla and Hindi speech communities. The paper highlights that dialect profiling in the Indian context can be efficiently correlated with formant frequencies and Voice Onset Time for speech data. Acoustic analysis was done on PRAAT. PRAAT was used in this study because it has often been used by other similar studies to measure desired acoustic parameters simultaneously. Formant frequencies were measured at the midpoint of the vowels in the PRAAT using the LPC formant measurement algorithm. The normalization procedure was applied to the measured formant frequencies of vowels. The research affirms that acoustic analysis can provide verifiable cues for NLID. The framework can be used in the detection of native language influence in speech-centric criminal cases. The acoustic analysis shows that Indian English has subvarieties that could help in dialect profiling. The variation in Indian English vowel patterns could be due to the influence of the native language of the speakers.
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识别方言特征的声学线索:印度多语言社区的警务
像印度这样的多语言国家,有许多语言和方言,为逃避语言犯罪提供了肥沃的土壤。从恐吓信到赎金要求,犯罪的范围是巨大的。非法移民的案件只会增加国际边界的脆弱性,特别是在政治动荡期间。这导致社会更加脆弱,也给警察和执法机构带来及时干预的挑战。本研究的目的是通过比较两种方言来展示印度英语的方言变异。目前的论文是基于两个不同母语的不同群体所说的印度英语的声学分析。10名印地语和孟加拉语的母语人士被记录在一个消声室里。选择一段语音平衡的段落来朗读。该分析基于母语影响检测(Perkins Grant, 2018),以得出声学语音相关性,可作为区分孟加拉语和印地语社区的印度英语使用者的重要识别标记。本文强调了印度语境下的方言特征分析可以有效地与语音数据的形成峰频率和语音起始时间相关联。声学分析在PRAAT上进行。在这项研究中使用了PRAAT,因为它经常被其他类似的研究用来同时测量所需的声学参数。在PRAAT中元音的中点处使用LPC形成峰测量算法测量形成峰频率。将归一化过程应用于测量的元音形成峰频率。研究证实了声学分析可以为NLID提供可验证的线索。该框架可用于以言语为中心的刑事案件中母语影响的检测。声学分析表明,印度英语有亚变体,可以帮助方言分析。印度英语元音模式的变化可能是由于说话者母语的影响。
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来源期刊
Indonesian Journal of Applied Linguistics
Indonesian Journal of Applied Linguistics Arts and Humanities-Language and Linguistics
CiteScore
1.90
自引率
0.00%
发文量
46
审稿时长
18 weeks
期刊介绍: The aim of this Journal is to promote a principled approach to research on language and language-related concerns by encouraging enquiry into relationship between theoretical and practical studies. The journal welcomes contributions in such areas of current analysis in: first, second, and foreign language teaching and learning; language in education; language planning, language testing; curriculum design and development; multilingualism and multilingual education; discourse analysis; translation; clinical linguistics; literature and teaching; and. forensic linguistics.
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