Speech Recognition: Converting Speech Signals into Text Using Machine Processing
Speech Recognition is a technology that enables machines to convert speech signals into corresponding text or commands through identification and comprehension processes. This project conducts preliminary exploration and research on isolated word recognition using the DTW (Dynamic Time Warping) algorithm. Implementation involves MATLAB-based development of isolated word speech recognition, with analysis of DTW's key characteristics and limitations, including code-level insights on pattern matching and temporal alignment techniques.