1 citations · 2 across the 6 of their papers we have counts for
6 papers
AfriSwitch: A Benchmark for In-the-Wild African Code-Switched Speech Recognition
Gabrial Zencha Ashungafac, Busayo Awobade, Tobi Olatunji
Code-switching is pervasive in bilingual African conversation, yet most ASR systems assume monolingual input and are evaluated on curated monolingual benchmarks. We present AfriSwi…
AfriVox-v2: A Domain-Verticalized Benchmark for In-the-Wild African Speech Recognition
Busayo Awobade, Gabrial Zencha Ashungafac, Tobi Olatunji
Recent large language models (LLMs) show strong speech recognition and translation capabilities for high-resource languages. However, African languages remain dramatically underrep…
AfriSpeech-MultiBench: A Verticalized Multidomain Multicountry Benchmark Suite for African Accented English ASR
Gabrial Zencha Ashungafac, Mardhiyah Sanni, Busayo Awobade +2
Recent advances in speech-enabled AI, including Google's NotebookLM and OpenAI's speech-to-speech API, are driving widespread interest in voice interfaces globally. Despite this mo…
From Scarcity to Efficiency: Investigating the Effects of Data Augmentation on African Machine Translation
Mardiyyah Oduwole, Oluwatosin Olajide, Jamiu Suleiman +9
The linguistic diversity across the African continent presents different challenges and opportunities for machine translation. This study explores the effects of data augmentation…
The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages
Chris Emezue, NaijaVoices Community, Busayo Awobade +8
The development of high-performing, robust, and reliable speech technologies depends on large, high-quality datasets. However, African languages -- including our focus, Igbo, Hausa…
What Happens When Small Is Made Smaller? Exploring the Impact of Compression on Small Data Pretrained Language Models
Busayo Awobade, Mardiyyah Oduwole, Steven Kolawole
Compression techniques have been crucial in advancing machine learning by enabling efficient training and deployment of large-scale language models. However, these techniques have…