Automatic Speech Recognition (ASR), also known as Speech-To-Text (STT) or computer
speech recognition, has been an active field of research recently. This study aims to chart …

Automatic speech recognition or speech-to-text is a human–machine interaction task, and
although it is challenging, it is attracting several researchers and companies such as …

This paper provides a structured examination of Arabic Automatic Speech Recognition
(ASR), focusing on the complexity posed by the language's diverse forms and dialectal …

In the last 5 years, the availability of large audio datasets in African countries has opened
unlimited opportunities to build machine intelligence (MI) technologies that are closer to the …

Owing to the linguistic richness of the Arabic language, which contains more than 6000
roots, building a reliable Arabic language model for Arabic speech recognition systems …

Crafting an effective Automatic Speech Recognition (ASR) solution for dialects demands
innovative approaches that not only address the data scarcity issue but also navigate the …

Speech recognition is a captivating process that revolutionizes human-computer
interactions, allowing us to interact and control machines through spoken commands. The …

Recognizing and transcribing human speech has become an increasingly important task.
Recently, researchers have been more interested in automatic speech recognition (ASR) …

If accent differences can predict the type of speech recognition errors, a smaller dataset
systematically representing accent differences might be sufficient and less resource …

This study focuses on recognizing Bangladeshi dialects and converting diverse Bengali
accents into standardized formal Bengali speech. Dialects, often referred to as regional …