可能有用的论文集锦
Voice recognition algorithms using mel frequency cepstral coefficient (MFCC) and dynamic time warping (DTW) techniques
Tags: DTW, MFCC, Speech Recognition
价值：详细介绍了MFCC和DTW的步骤
Viterbi Recipe
Tags: Tutorial, HMM, Viterbi
价值：Page27列出了Viterbi的过程
What is the expectation maximization algorithm? and its supplement materials
Tags: Tutorial, EM
价值：用一个简单的例子清晰地说明了EM的目的，步骤，优缺点，并用了三个application来进一步说明EM问题。补充材料包括了EM算法获得local maxima的理论推导。
Forward Algorithm and Baum–Welch algorithm Recipe
Tags:Tutorial, HMM, Forward Algorithm, Forward-Backward Algorithm, Baum–Welch Algorithm
价值：列出了HMM三大问题中已知观测序列概率问题和参数估计问题的解法，分别使用了Forward algorithm和Baum–Welch algorithm。
Score-Performance Matching using HMMs
Tags: HMM, Score Following, Viterbi, Segmental K-Means, Multivariate Gaussian
价值：最早提出使用HMM来解决Score Following的文章之一，做法是offline的，但也有online的Viterbi版本。见Low-Delay Singing Voice Alignment to Text。
Score Following Using Spectral Analysis and Hidden Markov Models
Tags: HMM, Score Following
价值：Related Works概述了Grubb和最早的两个HMM三个系统，写得很好。