Using generalized maxout networks and phoneme mapping for low resource ASR- a case study on Flemish-Afrikaans

Low-Resource Neural Machine Translation Using Recurrent Neural Networks and Transfer Learning: A Case Study on English-to-Igbo

In this study, we develop Neural Machine Translation (NMT) and Transformer-based transfer learning m

Dutch, Flemish, and Afrikaans Studies

Real-time low-resource phoneme recognition on edge devices

While speech recognition has seen a surge in interest and research over the last decade, most machin

Hard to Be Heard: Phoneme-Level ASR Analysis of Phonologically Complex, Low-Resource Endangered Languages

We present a phoneme-level analysis of automatic speech recognition (ASR) for two low-resourced and

Enhancing Conversational AI for Low-Resource Languages: A Case Study on Somali

Conversational AI has made huge strides in understanding and generating human language. However, the

Enhancing Pos Tagging For Low-Resource Languages: A Case Study On Dholuo