The impact of accents on automatic recognition of South African English speech

Evaluating Automatic Speech Recognition Performance Across African English Accents

Automatic speech recognition (ASR) systems are widely used in digital assistants, transcrip

The impact of accent identification errors on speech recognition of South African English

For successful deployment, a South African English speech recognition system must be capable of

Middle Eastern and North African English Speech Corpus (MENAESC): Automatic Identification of MENA English Accents

This study aims to explore the English accents in the Arab world. Although there are limited resourc

Automatic Speech Recognition of English-isiZulu Code-switched Speech from South African Soap Operas

Automatic Speech Recognition of African American English: Lexical and Contextual Effects

Automatic Speech Recognition (ASR) models often struggle with the phonetic, phonological, and morpho

Dialect-Specific Models for Automatic Speech Recognition of African American Vernacular English

African American Vernacular English (AAVE) is a widely-spoken dialect of English, yet it is under-represented in major speech corpora. As a result, speakers of this dialect are often misunderstood by NLP applications. This study explores the effect on transcription