2021/03/16 by Jama Hussein Mohamud, Lloyd Acquaye Thompson, Mohamud, Jama Hussein +5 · 1 citation
Computer Science · #Speech Recognition and Synthesis #Natural Language Processing Techniques #Topic Modeling
paper · pdf · doi:10.48550/arxiv.2103.08993
This paper describes the results of an informal collaboration launched during the African Master of Machine Intelligence (AMMI) in June 2020. After a series of lectures and labs on speech data collection using mobile applications and on self-supervised representation learning from speech, a small group of students and the lecturer continued working on automatic speech recognition (ASR) project for three languages: Wolof, Ga, and Somali. This paper describes how data was collected and ASR systems developed with a small amount (1h) of transcribed speech as training data. In these low resource conditions, pre-training a model on large amounts of raw speech was fundamental for the efficiency of ASR systems developed.