• Afsheen

• Saad Irtza

• Mahwish Farooq

• Sarmad Hussain

Abstract

Automatic Speech Recognition (ASR) is a key component in Human Computer Interaction (HCI) applications. Stability of ASR systems largely depends on accent, gender, age of speakers, background noise and channel variations. In this paper, a study has been conducted to explore the differences between five different accents of Pakistan i.e. Punjabi, Urdu, Sindhi, Seraiki and Pashto. Speech data has been collected from native speakers of these accents. The five accents have been analyzed using mel frequency cepstral coefficient (MFCC’s) and feature formants of all the vowels in the vocabulary.

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