Filipino to Chinese speech-to-speech translator using neural network and database system

• Main Authors: Bailon, Mark Reinier M., De Silva, Mark Albert C., Lapuz, Reyann Jhorel P., Tinio, John Larry A., Yu, Ted Bryan K.
• Format: text
• Language: English
• Published: Animo Repository 2012
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/14831
• Institution: De La Salle University

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.