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	Speech Communication Zheng-Hua Tan Tel: +45 9940-8686 Email zt@es.aau.dk Office: Room A6-319, Niels Jernes Vej 12
	Course description: Speech is the most natural means for human-human communication. As computing machines become more and more capable and widespread, there is an increasing demand to include speech as a key component in human-machine interface. This course attempts to provide the students with a basic comprehension of the methods and models applied in speech communication systems. Course outline: · Speech production and acoustic phonetics · Speech perception · Speech coding · Speech synthesis · Speech and speaker recognition Literature: · Deller, Hansen, Proakis, Discrete-Time Processing of Speech Signals, 2nd Edition, Wiley-IEEE Press, 1999.  Lecture notes: · Lecture 1 Slides (Introduction, speech production and acoustic phonetics)  o Readings: J. Deller, J. Hansen, J, Proakis, Discrete-Time Processing of Speech Signals, pp. 81-85, 99-150. o Assignment 1: 2.1, 2.6, 2.17, and to play with the speech tool - Speech Filing System. o Speech files for retrieving at ftp://archive.egr.msu.edu/pub/jojo/DPHTEXT/ o Sounds for downloading · Lecture 2 Slides (Speech analysis) o Readings: J. Deller, J. Hansen, J, Proakis, Discrete-Time Processing of Speech Signals, Chapter 6, OR L.R. Rabiner and R.W. Schafer, Digital Processing of Speech Signals, Chapter 4, Chapter 8. o Assignment 2: Matlab for speech analysis · Lecture 3 Slides (Speech coding and synthesis) o Readings: OR J. Deller, J. Hansen, J, Proakis, Discrete-Time Processing of Speech Signals, Chapter 7, OR Huang, Acero and Hon, Spoken Language Processing, Chapter 7, Chapter 16. o Assignment 3: Assignment on speech coding and synthesis · Lecture 4 Slides (Speech recognition, Part I) o Readings: download them from http://ieeexplore.ieee.org/ OR send me an email to request. § J. Deller, J. Hansen, J, Proakis, Discrete-Time Processing of Speech Signals, Chapter 10-12. § Rabiner, L.R., "A tutorial on hidden Markov models and selected applications in speech recognition", Proceedings of the IEEE, 77 (2), 1989, pp. 257 - 286. § Sakoe, H. and Chiba, S., "Dynamic programming algorithm optimization for spoken word recognition", IEEE Trans. Acoustics, Speech, and Signal Processing, 26(1), 1978, pp. 43 - 49. o Assignment 4: Use Matlab to implement Dynamic Time Warping to compare speech signals. · Lecture 5 Slides (Speech recognition, Part 2) o Readings:  § Steve Young, "A review of large-vocabulary continuous-speech", IEEE Signal Processing Magazine, Sep 1996. Alternatively, Huang, Acero and Hon, Spoken Language Processing, Chapter 9. § Steve Young, et al., "The HTK Book" (optional). o Assignment 5: § Hidden Markov Model and Viterbi decoding § HTK Demo.  Contact Information: Zheng-Hua Tan Department of Electronic Systems Aalborg University Niels Jernes Vej 12 DK-9220, Aalborg Denmark Tel +45 9940-8686 Email zt@es.aau.dk