Disfluent-to-Fluent Tunisian Dialect Speech Translation with Fine-Tuning Pre-trained Language Models

Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning

Multilingual pre-trained language models (PLMs) have demonstrated impressive performance on several downstream tasks for both high-resourced and low-resourced languages. However, there is still a large performance drop for languages unseen during pre-training, espe

Increasing linguistic diversity in NLP : Fine-tuning Multilingual Pre-trained African Language Models

Increasing linguistic diversity in NLP : Fine-tuning Multilingual Pre-trained African Language Models

Poster presented at the Deep Learning Indaba 2023 by Fiskani Banda

Low-Resource Hate Speech Detection in English-Swahili Code-Switched Text Using Fine-Tuning of Pre-trained Language Models

The use of social media in East Africa has grown rapidly, and with it, the spread of hate speech has

Enhancing Arabic Speech Therapy with AI: Binary Fluent/Disfluent Classification of Arabic Stuttered Speech

Stuttering and related speech disorders can interrupt the natural flow of speech through repetitions

Fine-Tuning SeamlessM4T Moroccan Darija to Classical Arabic Speech Translation

Strategies for improving low resource speech to text translation relying on pre-trained ASR models

This paper presents techniques and findings for improving the performance of low-resource speech to