A text-to-phoneme conversion with backpropagation neural network implemented using an INMOS T800 transputer module (TRAM) parallel processor and phoneme-to-speech conversion using a sound blaster
Date of Publication
1994
Document Type
Master's Thesis
Degree Name
Master of Science in Electronics and Communications Engineering
Subject Categories
Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Felicito S. Caluyo
Defense Panel Chair
Lyne Palomar
Defense Panel Member
Roderick Yap
Edwin Sybingco
Abstract/Summary
A text-to-speech synthesis system is presented in this study. The system uses a backpropagation neural network to transform English text into its equivalent phonemes. The output of the neural network is converted to sounds and a sound blaster is used to produce speech from the concatenated phonemes. The system is implemented using parallel processors, INMOS T800 transputer modules (TRAM), mounted on a TBX10/TBX05 motherboard and an Intel 486DX PC serves as the host computer.
Abstract Format
html
Language
English
Format
Accession Number
TG02434
Shelf Location
Archives, The Learning Commons, 12F Henry Sy Sr. Hall
Physical Description
234 leaves
Keywords
Neural network; Speech processing systems; Modulation theory; Electronic systems; Automatic speech recognition; Sound--Recording and reproducing--Digital techniques; Linguistics--Data processing
Recommended Citation
Lambino, M. A. (1994). A text-to-phoneme conversion with backpropagation neural network implemented using an INMOS T800 transputer module (TRAM) parallel processor and phoneme-to-speech conversion using a sound blaster. Retrieved from https://animorepository.dlsu.edu.ph/etd_masteral/1693