dc.contributor |
Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica |
dc.contributor |
Safaric, Riko |
dc.contributor.author |
Añorga Irigoien, Eneko |
dc.date |
2009-10 |
dc.identifier.uri |
http://hdl.handle.net/2099.1/8751 |
dc.language.iso |
eng |
dc.publisher |
Universitat Politècnica de Catalunya |
dc.rights |
Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights |
info:eu-repo/semantics/openAccess |
dc.rights |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject |
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic |
dc.subject |
Speech processing systems |
dc.subject |
Voice operated wheelchair |
dc.subject |
Voice activity detection |
dc.subject |
Speech recognition |
dc.subject |
Processament de la parla |
dc.title |
Development of the Feature Extractor for Speech Recognition |
dc.type |
info:eu-repo/semantics/bachelorThesis |
dc.description.abstract |
Projecte final de carrera realitzat en col.laboració amb University of Maribor |
dc.description.abstract |
With this diploma work we have attempted to give continuity to the previous work done by
other researchers called, Voice Operating Intelligent Wheelchair – VOIC [1]. A development of
a wheelchair controlled by voice is presented in this work and is designed for physically disabled
people, who cannot control their movements. This work describes basic components of speech
recognition and wheelchair control system.
Going to the grain, a speech recognizer system is comprised of two distinct blocks, a Feature
Extractor and a Recognizer. The present work is targeted at the realization of an adequate
Feature Extractor block which uses a standard LPC Cepstrum coder, which translates the
incoming speech into a trajectory in the LPC Cepstrum feature space, followed by a Self
Organizing Map, which classifies the outcome of the coder in order to produce optimal
trajectory representations of words in reduced dimension feature spaces. Experimental results
indicate that trajectories on such reduced dimension spaces can provide reliable representations
of spoken words. The Recognizer block is left for future researchers.
The main contributions of this work have been the research and approach of a new
technology for development issues and the realization of applications like a voice recorder and
player and a complete Feature Extractor system. |