ASR: Reading

All listed reading is optional and will not be examinable.

Textbook

• J&M: Daniel Jurafsky and James H. Martin (2008). Speech and Language Processing, Pearson Education (2nd edition). 
  You can also look at the draft 3rd edition online – we take a much broader view of ASR than covered in this edition, but material in Appendix A and Chapter 16 is useful.

Review and Tutorial Articles

• G&Y: MJF Gales and SJ Young (2007). The Application of Hidden Markov Models in Speech Recognition, Foundations and Trends in Signal Processing, 1 (3), 195-304.
• S Young (1996). A review of large-vocabulary continuous-speech recognition, IEEE Signal Processing Magazine 13 (5), 45-57.
• R&H: S Renals and T Hain (2010). Speech Recognition, in Computational Linguistics and Natural Language Processing Handbook, A Clark, C Fox and S Lappin (eds.), Blackwells, chapter 12, 299-332. (Local access only)
• G Hinton et al (2012). Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups, IEEE Signal Processing Magazine, 29(6):82-97.
• S Young (2008). HMMs and Related Speech Recognition Technologies, in Springer Handbook of Speech Processing, J Benesty, MM Sondhi and Y Huang (eds), chapter 27, 539-557. (Local access only)
• Bell et al (2021). Adaptation Algorithms for Neural Network-Based Speech Recognition: An Overview , IEEE Open Journal of Signal Processing, Vol 2:33-36.

Other supplementary materials

• In case you need more introductory articles on speech signal analysis (Lectures 2 and 3):
  Daniel P.W. Ellis, "An introduction to signal processing for speech", Chapter 22 in The Handbook of Phonetic Science, 2nd ed., ed. Hardcastle, Laver, and Gibbon. pp. 757-780, Blackwell, 2008.
• Speech.zone by Prof Simon King at the University of Edinburgh.

This page is maintained by Peter Bell.