Determination of Optimal Training Methodologies for Discrete/Dependent Speech Recognition (SR) Systems.

摘要

A research experiment was conducted to determine whether various combinations of training methodologies and speaking voices would affect recognition accuracies amongst unique speaker dependent speech recognition (SR) systems. The experiment used a SR system (VOTAN VTR 6050II) which is based on VOTAN (proprietary) technology. Ten subjects trained five different voice patterns each and conducted four natural voice tests to compile statistics about the recognition accuracy for each pattern. Two patterns (natural voice and declarative voice) were retested using a declarative voice. The experiment was successful and demonstrated that different combinations of training methodologies and speaking voices can significantly affect the performance of (unique discrete/dependent SR systems. This thesis discusses the research methodology, reviews and analyzes the data collected, and states conclusions drawn about the particular dependent SR system used in the experiment.