Type of Document Master's Thesis Author Rangaswamy, Vidya Author's Email Address vrangaswamy1@student.gsu.edu URN etd-11182005-134947 Title Phoneme Recognition Using Wavelet Packets Degree Master of Science Department Computer Science Advisory Committee
Advisor Name Title Dr. Michael Weeks Committee Chair Dr. Saeid Belkasim Committee Member Dr. Xiaolin Hu Committee Member Keywords
- Speech Recognition
- Wavelet Packet Transform
- Phoneme
Date of Defense 2005-11-11 Availability restricted Abstract Life would be much easier if there were no typing involved in preparing a document,typing an email, paying online bills, entering credit card details, booking
°ights, hotels or car rentals online. Imagine a system that would recognize speech
and convert it into another form to do these functions automatically. The fact that
most people can speak faster than they can type gives a good reason to have a speech
recognizer.
This thesis concentrates on developing a speaker independent, speech recognizer
using Wavelet Packet Transform. Speech corpus in the form of phonemes is collected
from an American male and an Indian Female. The subjects chosen for phoneme
recognition vary in a number of factors like the accent, gender, age, microphone used
to record speech, environment in which phonemes are recorded, etc. These factors
increase the complexity of speech recognition. We also assume that the emotions of
the speakers are the same and the speakers are stationary while recording phonemes.
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