Intricacies concerning indigenous languages in the South African milieu demonstrate
intransigence that necessitates a scholarly contestation. This is in addition to the parades …

Preserving and innovating indigenous languages is crucial for maintaining cultural heritage
and facilitating community development in this digital age. Understanding the digital …

Code-switching is a common form of communication in every bilingual or multilingual
culture. It has become common in an ethnically diverse country like India, where multiple …

In this paper, a semisupervised speech data extraction method is presented and applied to
create a new dataset designed for the development of fully bilingual Automatic Speech …

In this study, we present improvements in N-best rescoring of code-switched speech
achieved by n-gram augmentation as well as optimised pretraining of long short-term …

Recently, large pre-trained multilingual speech models have shown potential in scaling
Automatic Speech Recognition (ASR) to many low-resource languages. Some of these …

There is a growing interest in building language technologies (LTs) for low resource
languages (LRLs). However, there are flaws in the planning, data collection and …

The development of speech technology requires large amounts of data to estimate the
underlying models. Even when relying on large multilingual pre-trained models, some …

Automatic speech recognition (ASR) of speech signals with code-switching (an abrupt
language change common in bilingual communities) typically requires spoken language …

This paper summarizes speech recognition systems for African languages. More precisely,
we propose different approaches that address the low-resource property of these …