Event-based multiple-resolution analysis of speech signals

Abstract

A methodology for multiple-resolution analysis and event-based representation of speech signals is presented. The computation of multiple-resolution filtering, event detection and parsing of event structures is described with examples and discussions of auditory modeling aspects. The approach and its implementation are entirely based on object-oriented programming, which provides a systematic framework for the hierarchical nature of the method. Implementation of the analysis system is based on an object-oriented signal processing system called QuickSig running on the Symbolics Lisp machine. The QuickSig system has object classes such as signals, windows and filter banks, each with its own set of method functions for signal processing operations.<>