Abstract

For the last decade, Sindhi has been provided with a great margin of research efforts especially in computational applications. But, the accents applied through the province have not undergone the research experiments; however, it is mandatory requisite to develop such applications before going through the speech processing applications, i.e., Text to Speech Synthesis. More than six dialects of Sindhi are found within the province, among which the dialect of Central Region is mostly applied in formal writings and communication media. The other dialects are usually used in informal spoken for routine communication. Sindhi dialects vary from one to other in terms of phonology, morphology, and syntax. The purpose of this research study is to digitally investigate the accents of Sindhi language in three dialects of Sindhi which are Lassi, Laarri and Vicholi. The acoustic digital investigation has drawn differences among the dialects on the grounds of vowel duration, pause usage, F0 peak alignment, F0 excursion size and F0 contour shape. This paper presents the calculated means values of vowel duration and its rise size implemented on the eight different classes of syllables. Empirical variations have successfully been witnessed among the taken dialects. Keywords: Sindhi Dialects, Language Processing, Digital.

Highlights

  • Sindhi can be categorized into six major dialects: (1) Siro or Siraike that is spoken in the northern part of Sindh, (2) Vicholi, spoken in the central part of Sindh, (3) Larri which is spoken in the southern part of Sindh, (4) Lassi, used in lasbela and the khirther range on the western border of Sindh, (5) Thari, spoken in the eastern part of Sindh and the Sindh—Rajistan border, (6) Kachi, spoken in the Kach region of Gujrat on the southern border of Sindh

  • The study of variety in Sindhi accents provides the basic information of Sindhi phonological pattern; such information can effectively be decisive for the development of different tools for Sindhi computational speech processing systems, for instance, Automatic Speech Generation, Speech Recognition, Speech Understanding, Dictionary Creation, Morphological Analysis, Part-of-Speech Tagging, Syntactic Parsing, Machine Translation and Text-toSpeech Synthesis

  • This paper presents the digital investigation of three dialects of Sindh, the experimented methodology is taken alike Yeou [8] with various acoustic measurement parameters, for instance, vowel duration, pause usage, F0 peak alignment, F0 excursion size and F0 contour shape

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Summary

Introduction

Sindhi can be categorized into six major dialects: (1) Siro or Siraike that is spoken in the northern part of Sindh, (2) Vicholi, spoken in the central part of Sindh, (3) Larri which is spoken in the southern part of Sindh, (4) Lassi, used in lasbela and the khirther range on the western border of Sindh, (5) Thari, spoken in the eastern part of Sindh and the Sindh—Rajistan border, (6) Kachi, spoken in the Kach region of Gujrat on the southern border of Sindh. With respect to the phonology of Sindhi, the observation reveals that the melody and intonation of Sindhi language in these six dialects are different from each other It creates complications in understanding, recognition and translation of Sindhi language. The study of variety in Sindhi accents provides the basic information of Sindhi phonological pattern; such information can effectively be decisive for the development of different tools for Sindhi computational speech processing systems, for instance, Automatic Speech Generation, Speech Recognition, Speech Understanding, Dictionary Creation, Morphological Analysis, Part-of-Speech Tagging, Syntactic Parsing, Machine Translation and Text-toSpeech Synthesis. In this paper only vowel duration and rise size are calculated for each dialect This is preliminary work of continuing project aims to detailed analysis of the dialectal variation in Sindhi. Work on various aspects of accent variation has been carried out for many other languages like for Arabic [8] [9], for Hindhi [10] and for French [11]

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