Accent Classification among Punjabi , Urdu , Pashto , Saraiki and Sindhi Accents of Urdu Language
نویسندگان
چکیده
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 classify five different accents of Urdu language spoken in Pakistan i.e. Punjabi, Urdu, Pashto, Saraiki and Sindhi. Speech data has been collected from native speakers of these accents. The five accents have been classified using mel frequency cepstral coefficient (MFCCs) and feature formants.
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