Filipino to Chinese speech-to-speech translator using neural network and database system
Date of Publication
2012
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics and Communications Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Reggie C. Gustilo
Defense Panel Chair
Cesar A. Llorente
Defense Panel Member
Maria Antonette C. Roque
Miguel O. Gutierrez
Abstract/Summary
Technology nowadays becomes convenient because conveying information between computers and other electronic devices can be done in a speech-to-speech environment through speech implementation. There are different technologies than can aid in speech implementation and one of which is the Neural Network System or NNS. A Neural Network System is composed of many simple processors combined together that recognizes pattern through series of trainings. The aim of the research is to produce computer software that uses an algorithm in order to translate Filipino words into Chinese words with the use of an artificial neural network aided by LabVIEW. The use of LabView in implementing the whole system had been observed in detail through the three stages: speech-to-text stage, text-to-text stage and the text-to-speech stage. The results showed that increasing the number of training of words increases the success rate of the system in recognizing the words. Testing of the 500 words was done to 25 samples and it garnered an average of 91.59% and the overall training gathered a total of 93.4%. Speech implementation has been successfully conducted that applies speech recognition, speech synthesis and database system. The results of the speech-to-speech translation of Neural Network System in LabVIEW are presented such that they can be used as an aid to the improvement of speech implementation.
Abstract Format
html
Language
English
Format
Accession Number
TU16897
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
84 [105]: ill. (some cols.) ; 28 cm.
Recommended Citation
Bailon, M. M., De Silva, M. C., Lapuz, R. P., Tinio, J. A., & Yu, T. K. (2012). Filipino to Chinese speech-to-speech translator using neural network and database system. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/14831
