Acoustic Realization of /S/ Across Accents of Urdu

This study investigates acoustic characteristics that distinguish three Urdu accents spoken predominantly in Punjab: Pothowari, Multani, and Jhangochi. We examined four spectral moments—center of gravity (CoG), standard deviation (SD), skewness, and kurtosis—of the fricative /s/ to identify acoustic variations between these accents. 1200 /s/ tokens were annotated from a spontaneous speech corpus, focusing on 10 speakers per accent (5 male, 5 female), with 40 tokens per speaker. The results reveal distinct ordering of accents by CoG values, along with notable patterns in SD, skewness, and kurtosis, offering deeper insight into accent-based differences. Additionally, our findings demonstrate gender-specific changes in the energy trajectories of the fricative within each accent. These findings contribute to a better understanding of Urdu's phonetic diversity and have broader implications for speech processing, sociolinguistics, and practical applications such as accent recognition in speech technologies.

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Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1109/o-cocosda64382.2024.10800176
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
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article

Acoustic Realization of /S/ Across Accents of Urdu

Sahar Rauf, Iram Fatima
Speech and Audio Processing
article

Acoustic Realization of /S/ Across Accents of Urdu

Sahar Rauf, Iram Fatima
article en

Abstract

This study investigates acoustic characteristics that distinguish three Urdu accents spoken predominantly in Punjab: Pothowari, Multani, and Jhangochi. We examined four spectral moments—center of gravity (CoG), standard deviation (SD), skewness, and kurtosis—of the fricative /s/ to identify acoustic variations between these accents. 1200 /s/ tokens were annotated from a spontaneous speech corpus, focusing on 10 speakers per accent (5 male, 5 female), with 40 tokens per speaker. The results reveal distinct ordering of accents by CoG values, along with notable patterns in SD, skewness, and kurtosis, offering deeper insight into accent-based differences. Additionally, our findings demonstrate gender-specific changes in the energy trajectories of the fricative within each accent. These findings contribute to a better understanding of Urdu's phonetic diversity and have broader implications for speech processing, sociolinguistics, and practical applications such as accent recognition in speech technologies.

University of Engineering and Technology Lahore (PK), Institute of Computer Science (PL)
Openalex Percentile: Top 74%
Speech and Audio Processing
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