Change search
ReferencesLink to record
Permanent link

Direct link
A Speaker Independent Continuous Speech Recognizer for Amharic
RISE, Swedish ICT, SICS. Userware.
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
Identifiers
URN: urn:nbn:se:ri:diva-21055OAI: oai:DiVA.org:ri-21055DiVA: diva2:1041089
Conference
INTERSPEECH 2005, 9th European Conference on Speech Communication and Technology
Note
pp. 3349-3352.Available from: 2016-10-31 Created: 2016-10-31

Open Access in DiVA

fulltext(118 kB)3 downloads
File information
File name FULLTEXT01.pdfFile size 118 kBChecksum SHA-512
8639683d6c37ddd41875c41b0b603162cb1d49db02586835cce6dec1d2a5ffa9f5ff527d0380f3fc22676d8bb469e5e950d4e984f6718d278fee642a1cd667a6
Type fulltextMimetype application/pdf

Other links

http
By organisation
SICS
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 3 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

ReferencesLink to record
Permanent link

Direct link