7 papers · 1 filter
Building an ASR Solution for Training and Assessing Children's Reading
Yacouba Diarra, Nouhoum Souleymane Coulibaly, Mamadou Dembele +2
Automatic speech recognition for children's reading remains underdeveloped for most African languages, including Bambara, despite its potential value for reproducible literacy asse…
Where Are We At with Automatic Speech Recognition for the Bambara Language?
Seydou Diallo, Yacouba Diarra, Mamadou K. Keita +3
This paper introduces the first standardized benchmark for evaluating Automatic Speech Recognition (ASR) in the Bambara language, utilizing one hour of professionally recorded Mali…
Listen, Attend, Understand: a Regularization Technique for Stable E2E Speech Translation Training on High Variance labels
Yacouba Diarra, Michael Leventhal
End-to-End Speech Translation often shows slower convergence and worse performance when target transcriptions exhibit high variance and semantic ambiguity. We propose Listen, Atten…
Kunnafonidilaw ka Cadeau: an ASR dataset of present-day Bambara
Yacouba Diarra, Panga Azazia Kamate, Nouhoum Souleymane Coulibaly +1
We present Kunkado, a 160-hour Bambara ASR dataset compiled from Malian radio archives to capture present-day spontaneous speech across a wide range of topics. It includes code-swi…
Dealing with the Hard Facts of Low-Resource African NLP
Yacouba Diarra, Nouhoum Souleymane Coulibaly, Panga Azazia Kamaté +4
Creating speech datasets, models, and evaluation frameworks for low-resource languages remains challenging given the lack of a broad base of pertinent experience to draw from. This…
Cost Analysis of Human-corrected Transcription for Predominately Oral Languages
Yacouba Diarra, Nouhoum Souleymane Coulibaly, Michael Leventhal
Creating speech datasets for low-resource languages is a critical yet poorly understood challenge, particularly regarding the actual cost in human labor. This paper investigates th…
Global PIQA: Evaluating Commonsense Reasoning Across 100+ Languages and Cultures
Tyler A. Chang, Catherine Arnett, Abdelrahman Sadallah +377
To date, there exist almost no culturally-specific evaluation benchmarks for large language models (LLMs) that cover a large number of languages and cultures. In this paper, we pre…