Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/52464
Title: English pronunciation verification system for Apple iOS
Authors: Ng, Kelvin Sio Joo.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2013
Abstract: Each culture has pronunciation patterns and lilts unique to that culture and these unique elocution styles, while accepted and taken for granted in that culture, can render a word unintelligible in another culture. This calls for an easily accessible application that can quickly give the users affirmation about their pronunciation. This project uses PocketSphinx, a speech recognition library developed by Carnegie Mellon University (CMU) to implement the Speech Recognition and Speech Synthesization of predetermined commonly-used phrases and idioms within an application on the iPhone platform without connecting to the servers online for recognition processing. This application receives speech inputs from the users, analyses the inputs, searches and matches the inputs with the creation of dictionary and Language Model (LM) available and returns the best match by probability. Developing this speaker independent application enables users to verify their pronunciation of the phrases and provides users fast, reliable and accurate pronunciation, definition of phrases and recognition during execution.
URI: http://hdl.handle.net/10356/52464
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP_A3123_121_Final_Report.pdf
  Restricted Access
9.74 MBAdobe PDFView/Open

Page view(s) 20

280
checked on Oct 26, 2020

Download(s) 20

16
checked on Oct 26, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.