Here I am, pursuing once more the old-fashioned machine learning. I’ll keep it short and write down useful links

Books

1. Dan Povey – HTK Book
2. Ian Goodfellow – Deep Learning

Papers

1. IEEE – Uncertainty Decoding with SPLICE for Noise Robust Speech Recognition

YouTube

1. Hannes van Lier – Basic Introduction to Speech Recognition (HMM & Neural Networks)
2. Luis Serrano – A friendly introduction to Bayes Theorem and Hidden Markov Models
3. Djp3 – Hidden Markov Models, The forward-backward algorithm

Kaldi

1. Kaldi ASR – FrameWork Wiki
2. Kaldi Wiki – Kaldi Tutorial #1
3. Dan Povey’s Homepage: Former Professor at John Hopkins University, Author of HTK Book
4. KalDi WiKi – Kaldi for Dummies tutorial

Wikipedia

1. Wikipedia – Dempster–Shafer theory
2. Wikipedia – Expectation–maximization algorithm
3. Wikipedia – Cepstral mean and variance normalization
4. Wikipedia – Baum–Welch algorithm
5. Wikipedia – Mutual Information

Blog Posts

1. Medium – Jonathan Hui: ASR Model Training
2. Medium – Jonathan Hui: Maximum Mutual Information Estimation (MMIE)
3. Medium – Jonathan Hui: Weighted Finite-State Transducers

Others

1. KDE Simon – CMU SPHINX Based ASR
2. Speech Research International Language Model (SRILM)

Jargons

1. LVCSR: Large Vocabulary Continuous Speech Recognition