A Speaker Independent Continuous Speech Recognizer for Amharic
Number of Authors: 2
2005 (English)Conference paper (Refereed)
The paper discusses an Amharic speaker independent continuous speech recognizer based on an HMM/ANN hybrid approach. The model was constructed at a context dependent phone part sub-word level with the help of the CSLU Toolkit. A promising result of 74.28% word and 39.70% sentence recognition rate was achieved. These are the best figures reported so far for speech recognition for the Amharic language.
Place, publisher, year, edition, pages
2005, 1. , 4 p.
Automatic Speech Recognition, Hidden Markov Models, Artificial Neural Networks, Amharic
Computer and Information Science
IdentifiersURN: urn:nbn:se:ri:diva-21055OAI: oai:DiVA.org:ri-21055DiVA: diva2:1041089
INTERSPEECH 2005, 9th European Conference on Speech Communication and Technology
pp. 3349-3352.2016-10-312016-10-31Bibliographically approved