Continuous Digit Speech Recognition System

Resource Overview

A program for continuous digit speech recognition that extracts MFCC features and implements recognition using Dynamic Time Warping (DTW) algorithm, complete with comprehensive documentation

Detailed Documentation

A sophisticated continuous digit speech recognition system that processes audio input by extracting Mel-Frequency Cepstral Coefficients (MFCC) features and employs the Dynamic Time Warping (DTW) algorithm for pattern matching and recognition. The implementation includes feature extraction modules that convert speech signals into MFCC vectors using frame blocking, windowing, FFT transformation, Mel-filterbank processing, and logarithmic operations. The DTW algorithm dynamically aligns input feature sequences with reference templates to handle variations in speech speed and duration. The system comes with detailed documentation covering usage instructions, technical specifications, algorithm explanations, and code implementation details for seamless integration and customization.