Recognition System Based on DTW and DAS Beamforming

Abstract

In this article a recognition system of isolated sequences based on noise filtration by microphone array is described. The configuration of microphone array has an important issue for clarification of beamformer spatial filtration. Beamforming is a method for processing microphone array data to produce images that represent the distribution of the acoustic source strength. Recognition systems are based on classification systems pattern. In these systems, sounds or sequences of sounds, such as phonemes, groups of phonemes, or words are modeled by distinct classes. The goal of the recognition system is to estimate the correct sequence of classes, sounds, that make up the incoming utterance and hence, the sounds that were reproduced. In particular, many new distance measures between time series have been introduced. The recognition system based on time series analysis, where the Dynamic time warping algorithm based on spatial filtration preprocessing is discussed.