Contributing to Speech-to-Speech Translation for African Low-Resource Languages : Study of French-Mooré Pair

A Low-Resource Language Translation: French To Mooré

Natural Language Processing (NLP) is an exciting field of artificial intelligence wit

Neural Machine Translation for French–Mooré: Adapting Large Language Models to Low-Resource Languages

Improving End-to-End Speech Translation for the Low Resource Language Fongbe to French

This study addresses the challenges of end-to-end (E2E) Speech-to-Text Translation (STT) for the low

NaijaS2ST: A Multi-Accent Benchmark for Speech-to-Speech Translation in Low-Resource Nigerian Languages

Speech translation for low-resource languages remains fundamentally limited by the scarcity of high-quality, diverse parallel speech data, a challenge that is especially pronounced in African linguistic contexts. To address this, we introduce NaijaS2ST, a parallel

Phonology-Guided Speech-to-Speech Translation for African Languages

We present a prosody-guided framework for speech-to-speech translation (S2ST) that aligns and transl

An Unsupervised Probability Model for Speech-to-Translation Alignment of Low-Resource Languages

For many low-resource languages, spoken language resources are more likely to be annotated with tran