Year: 2007
Type: conference-paper
Abstract: 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 syllabic sounds.We have used this feature of Amharic to develop a CV syllable-based speech recognizer, using Hidden Markov Modeling (HMM), and achieved 90.43% word recognition accuracy.
Authors: Solomon Teferra Abate, Wolfgang Menzel
Institution: Universität Hamburg
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W2012026885