TEXT-INDEPENDENT SPEAKER IDENTIFICATION FOR THE AMHARIC LANGUAGE

Text Independent Amharic Language Speaker Identification in Noisy Environments using Speech Processing Techniques

In Ethiopia, the largest ethnic and linguistic groups are the Oromos, Amharas and Tigrayans

Text-Independent Speaker Identification for Afaan Oromo Using Deep Learning

Speaker identification is the task of identifying “who is speaking” by the help of machines based on

Speech Processing for Text Independent Amharic Language Dialect Recognition

A speaker independent continuous speech recognizer for Amharic

Language-Independent Data Augmentation for Text Classification [LiDA]

Building high-performance text classification models in low-resource languages is a challenging task

Text Independent Amharic Language Dialect Recognition: A Hybrid Approach of VQ and GM