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60169

Speaker Identification Based on Temporal Parameters in Colloquial Arabic

Article

Last updated: 24 Dec 2024

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Tags

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Abstract

The subject of this study is to identify unknown speakers particularly from their speaking tempo represented in Speech
Rate SR and Articulation Rate AR as temporal parameters. The fundamental goal of this study, on the acoustical level, is to prove acoustically that every speaker has a significant speech rate SR and articulation rate AR through which the unknown speaker can be discriminated and to investigate which of them (SR or AR) could be of more benefit for identifying unknown speakers and to what extent. Also, the present study is essentially concerned, on the perceptual level, with listeners' perceptual abilities in perceiving and differentiating different speaking tempo for identifying unknown speakers in order to utilize this exceptional ability in forensic speaker identification FSI; aiming to provide some useful acoustical and perceptual data to be used in forensic phonetic filed. The most important characteristic of the temporal aspects of speech, that they are not easily disguised or imitated by accent or fundamental frequency leveling; so they could be useful for identifying unknown speakers particularly in forensic phonetic field.
The speech rate SR and articulation rate AR of ten unknown speakers / informants of colloquial Arabic are calculated. The
speakers were recorded while talking spontaneously for a radio program. Only 30 seconds of speech are cut for each speaker from the entire episode. After that 60 naïve listeners are asked to listen carefully to the 10 unknown informants in order to mark the fastest speaker and the slowest speaker depending only on their ears.

DOI

10.21608/ejle.2016.60169

Keywords

Speaker identification, Forensic Phonetics, Forensic Speaker Identification, Speech Rate, Articulation Rate, Speaking Tempo

Authors

First Name

Eman

Last Name

Yousri

MiddleName

M.

Affiliation

Phonetics & Linguistics Dep., Faculty of Arts, University of Alexandria

Email

emanyousri88@yahoo.com

City

Alexandria, Egypt

Orcid

-

First Name

Mervat

Last Name

Fashal

MiddleName

Mohamed

Affiliation

Phonetics & Linguistics Dep., Faculty of Arts, University of Alexandria

Email

mervat.fashal@alexu.edu.eg

City

Alexandria, Egypt

Orcid

-

Volume

3

Article Issue

1

Related Issue

9119

Issue Date

2016-04-01

Receive Date

2015-12-18

Publish Date

2016-04-01

Page Start

34

Page End

46

Print ISSN

2356-8208

Online ISSN

2356-8216

Link

https://ejle.journals.ekb.eg/article_60169.html

Detail API

https://ejle.journals.ekb.eg/service?article_code=60169

Order

4

Type

Original Article

Type Code

1,039

Publication Type

Journal

Publication Title

The Egyptian Journal of Language Engineering

Publication Link

https://ejle.journals.ekb.eg/

MainTitle

Speaker Identification Based on Temporal Parameters in Colloquial Arabic

Details

Type

Article

Created At

22 Jan 2023