Name
Title | ||
|---|---|---|
A Lightweight Downscaled Approach to Automatic Speech Recognition for Small Indigenous Languages |
Abstract | ||
|---|---|---|
BSTRACT Development of fully featured Automatic Speech Recognition (ASR) systems for a complete language vocabulary generally requires large data repositories, massive computing power, and a stable digital network infrastructure. These conditions are not met in the case of many indigenous languages. Based on our research for over a decade in West Africa, we present a lightweight and downscaled approach to AI-based ASR and describe a set of associated experiments. The aim is to produce a variety of limited-vocabulary ASRs as a basis for the development of practically useful (mobile and radio) voice-based information services that fit needs, preferences and knowledge of local rural communities. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1145/3501247.3539017 | Web Science |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| George Vlad Stan | 1 | 0 | 0.34 |
| André Baart | 2 | 0 | 0.34 |
| Francis Dittoh | 3 | 0 | 0.68 |
| Hans Akkermans | 4 | 0 | 0.34 |
| Anna Bon | 5 | 0 | 0.34 |