Learning Notes on HMM (Hidden Markov Model)
Comprehensive learning notes on Hidden Markov Models, covering the three fundamental algorithms — Forward, Viterbi, and Baum-Welch — with intuitive explanations and mathematical derivations.
Comprehensive learning notes on Hidden Markov Models, covering the three fundamental algorithms — Forward, Viterbi, and Baum-Welch — with intuitive explanations and mathematical derivations.
A deep dive into DTW's core algorithm and mathematical framework, using sight-singing as a case study to explain how the choice of feature frames — MFCC, Chroma, or F0 — fundamentally determines alignment quality.
A systematic survey of 21 common behavioral patterns students exhibit during sight-singing, examining why they challenge automated scoring systems and proposing a multi-dimensional evaluation framework covering pitch, rhythm, fluency, and expression.
A personal review of Claude Code as a coding assistant, with practical tips on using CLAUDE.md for project instructions, plan mode for complex tasks, and integrating it into daily development workflows.
Troubleshooting note for a PBR startup failure on OpenWrt, tracing the root cause to a firmware version incompatibility between fw3 and fw4 firewall backends and explaining the fix.