Investigation of Automatic Speech Recognition Systems via the Multilingual Deep Neural Network Modeling Methods for a Very Low-Resource Language, Chaha

Speech recognition system based on deep neural network acoustic modeling for low resourced language-Amharic

Investigation of Various Hybrid Acoustic Modeling Units via a Multitask Learning and Deep Neural Network Technique for LVCSR of the Low-Resource Language, Amharic

Generative Adversarial Training Data Adaptation for Very Low-resource Automatic Speech Recognition

It is important to transcribe and archive speech data of endangered languages for preserving heritag

Adaptive Activation Network For Low Resource Multilingual Speech Recognition

Low resource automatic speech recognition (ASR) is a useful but thorny task, since deep learning ASR

SMILE: Speech Meta In-Context Learning for Low-Resource Language Automatic Speech Recognition

Automatic Speech Recognition (ASR) models demonstrate outstanding performance on high-resource langu

Lexical modeling for the development of Amharic automatic speech recognition systems