Jurafsky & Martin (3rd Ed) – Hidden Markov models

An overview of Hidden Markov Models, the Viterbi algorithm, and the Baum-Welch algorithm

Jurafsky & Martin – Section 4.4 – Perplexity

It is possible to evaluate how good an N-gram model is without integrating it into an automatic speech recognition. We simply measure how well it predicts some unseen test data.

Jurafsky & Martin – Section 3.5 – FSTs for Morphological Parsing

in Dan Jurafsky and James H. Martin “Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition”, 2009, Pearson Prentice Hall, Upper Saddle River, N.J., Second edition, ISBN 0135041961 Forum for discussing this reading

Jurafsky & Martin – Section 3.4 – Finite-State Transducers

FST are a powerful and general-purpose mechanism for mapping (“transducing”) an input string to an output string.

Jurafsky & Martin – Section 3.3 – Construction of a Finite-State Lexicon

A lexicon can be representing using different data structures (finite state network, tree, lookup table,…), depending on the application.

Jurafsky & Martin – Section 3.2 – Finite-State Morphological Parsing

Automatic morphological decomposition of written words is possible. However, this section does not consider the added complication of deriving a pronunciation.

Jurafsky & Martin – Section 3.1 – English Morphology

In speech technology for English, little or no use is made of morphology. But for other languages, it is essential.

Jurafsky & Martin – Chapter 5 – Part-of-Speech Tagging

For our purposes, only sections 5.1 to 5.5 are needed.

Jurafsky & Martin – Chapter 2 – Regular Expressions and Automata

An important technique used widely in NLP. In TTS, it can be applied to tasks such as detecting and expanding non-standard words.

Johnson (Phonetics) – Chapter 6.1 – Tube models of vowel production

Deriving the resonances and formant structures of vowels using 2 and 3 tube models of the vocal tract.

Johnson (Phonetics) – Chapter 2 – The Acoustic Theory of Speech Production: Deriving Schwa

Derives the acoustic features of the vocal tract in terms of the source-filter model

Introduction to the IPA from the Handbook of the International Phonetic Association

Describes the aims of the International Phonetic Alphabet and its various uses.