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Implementing Hidden Markov Models for Sound Recognition in MATLAB: 2026 Technical Guide

"The implementation of Hidden Markov Models (HMM) for audio processing remains a foundational technique in signal classification. While deep learning architectures have gained prominence, HMMs offer unparalleled efficiency for specific acoustic modeling tasks where data scarcity or low-latency requirements prevail in 2026 industrial environments. This guide focuses on the programmatic application of HMMs using the MATLAB Statistics and Machine Learning Toolbox and the Audio Toolbox. Theoretical Foundations of HMM Sound Modeling An HMM is a statistical Markov model where the system being modeled is assumed to be a Markov process with unobserved..."

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