Augmenting machine learning for Amharic speech recognition: a paradigm of patient’s lips motion detection

Amharic Language Hate Speech Detection Using Machine Learning

A Deep Learning Approach to Speech Recognition for Detection of Mental Disorders

Mental disorders are conditions that affect a person’s cognitive functions, behavior or thinking, th

Machine Learning Approaches for Amharic Parts-of-speech Tagging

Part-of-speech (POS) tagging is considered as one of the basic but necessary tools which are require

ArabAlg: A new Dataset for Arabic Speech Command Recognition for Machine Learning Applications

Syllable-Based Speech Recognition for Amharic

Amharic is the Semitic language that has the second large number of speakers after Arabic (Hayward and Richard 1999). Its writing system is syllabic with Consonant-Vowel (CV) syllable structure. Amharic orthography has more or less a one to one correspondence with

Hate Speech Detection from Transliterated Amharic Social Media Comments Using Machine Learning and Deep Learning Approaches

The rise of transliterated script usage on social media has presented significant challenges to hate