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A Speaker Independent Continuous Speech Recognizer for Amharic
Number of Authors: 2
2005 (English)Conference paper (Refereed)
Abstract [en]

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.
Keyword [en]
Automatic Speech Recognition, Hidden Markov Models, Artificial Neural Networks, Amharic
National Category
Computer and Information Science
URN: urn:nbn:se:ri:diva-13744OAI: diva2:1035026
INTERSPEECH 2005, 9th European Conference on Speech Communication and Technology
pp. 3349-3352.Available from: 2016-10-13 Created: 2016-10-13

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