Speech Recognition of Isolated Words Using HMM Model
Implementation of isolated word speech recognition using Hidden Markov Model (HMM) through MATLAB programming
Automatic Speech Recognition Source Code: Isolated Word Recognition Algorithm for Non-Specific Speakers
This source code implements an isolated word speech recognition algorithm for non-specific speakers, with optimizations tailored for embedded systems with limited processing power and storage capacity. The implementation focuses on feature extraction techniques (like MFCC computation), acoustic modeling approaches, and efficient decoder structures to enhance system robustness while minimizing computational overhead and memory usage.
VQ-Based Speaker-Dependent Isolated Word Speech Recognition
Implementation of speaker-dependent isolated word speech recognition using Vector Quantization (VQ) method, including pre-recorded audio samples in .wav format
Isolated Word Speech Recognition Using DTW Algorithm
MATLAB implementation of isolated word speech recognition system based on Dynamic Time Warping (DTW) with feature extraction and pattern matching capabilities
Voice Activity Detection for Audio Segmentation
Voice endpoint detection system designed to segment continuous speech signals into isolated words or phrases, with implementation details on signal processing algorithms and threshold-based detection methods.
A MATLAB Implementation of HMM for Isolated Word Speech Recognition
A MATLAB-based Hidden Markov Model implementation method for isolated word speech recognition, featuring complete training and recognition algorithms with practical code implementation details.