EEM.ssr:  Speaker & Speech Recognition (EEEM034)

Welcome!

On this Speaker and Speech Recognition website you'll find announcements, course materials and other learning resources.

Lectures are in 14-DK-02 (weeks 1-7, and 10) and 4-DK-02 (weeks 8, 9 and 11) in three-hour blocks starting at 10 am on Mondays, except in week 10 when they'll start at 9am on the Tuesday 8 May (in 14-DK-02, after the bank holiday). There are computer-based labs in weeks 2, 4 and 8, which will take place in the Swan/Duck Labs (34/34a-BB-04). The lecturers for this module are Dr Philip Jackson (PJ; yellow) and Professor Josef Kittler (JK; orange). If you have any general queries, you should contact Mrs Amanda Ellis in the Postgraduate Office on AA-02; otherwise, or if you have an academic question, you can email Philip Jackson.
 

The coursework for this module, which is worth 40% of the credit, comes as three written assignments. Although each one is associated with an introductory lab session, the assignments must be carried out in your own time, and submitted before the deadline for each assessment. The deadline for the third assignment will be 4pm on Tuesday 8 May 2012.

The marks for the first lab assignment are now available.

As the weeks go by, the slides that are presented during lectures will be posted below. There are also exercises on this web site for you to do in your own time.

You are encouraged to explore the internet yourself for relevant information.

• Official course homepage, www.ee.surrey.ac.uk/Teaching/Courses/eem.ssr/
• Externally-visible mirror, www.ee.surrey.ac.uk/Personal/P.Jackson/eem.ssr/
   
• Week 1:
  • Introduction to speech recognition slides, eeem034a.pdf (on campus only)
  • Overview of speech communication slides, eeem034b.pdf (on campus only)
  • Phonetics slides, eeem034c.pdf (on campus only)
  • Speech analysis software, speech filing system (SFS) for Windows
  • Speech analysis software, Praat for Windows, Mac, linux
• Week 2:
  • Dynamic time warping slides, eeem034d.pdf (on campus only)
  • Speech processing slides, eeem034e.pdf (on campus only)
  • Lab 1 instructions, lab1.html
• Week 3:
  • HMM part 1 slides, eeem034f.pdf (on campus only)
  • Introduction to acoustics slides, eeem034g1.pdf (on campus only)
  • Link to acoustics tutorial from ISVR, U. Southampton
  • Vocal-tract acoustics slides, eeem034g2.pdf (on campus only)
  • Feature extraction 1 slides, eeem034h.pdf (on campus only)
• Week 4:
  • HMM part 2 slides, eeem034i.pdf (on campus only)
  • Viterbi decoding with an HMM, applet (on campus only)
  • Grammars for speech recognition slides, eeem034j.pdf (on campus only)
  • HMM toolkit (HTK) speech recognition software
  • Lab 2 instructions, lab2.html
  • HMM part 2 homework, marks for the first lab assignment are now available. href="http://www.ee.surrey.ac.uk/Teaching/Courses/eem.ssr/eeem034i_homework.pdf">worked examples (on campus only)
• Week 7:
  • HMM part 3 slides, eeem034k.pdf (on campus only)
  • Language as structure slides, eeem034l1.pdf (on campus only)
  • Language modeling slides, eeem034l2.pdf (on campus only)
  • Feature extraction 2 slides, eeem034m.pdf (on campus only)
• Week 8:
  • HMM part 4 slides, eeem034n.pdf (on campus only)
  • Context sensitivity slides, eeem034o.pdf (on campus only)
  • Lab 3 instructions, lab3.html
• Week 9:
  • HMM part 5 slides, eeem034p.pdf (on campus only)
  • Speaker adaptation & noise robustness slides, eeem034q.pdf (on campus only)
  • Artificial neural networks in ASR slides, eeem034r.pdf (on campus only)

The books recommended for this course are:

• Jelinek: Jelinek, F., Statistical Methods for Speech Recognition, MIT Press, 1998 [0-262-10066-5]. £37
• Homes & Holmes: Holmes, J.N. and Holmes, W.J., Speech Synthesis and Recognition, Taylor & Francis, 2001 [0-748-40857-6]. £26

There are also many useful articles available on the internet, e.g.:

• Young: Young, S.J., "Large Vocabulary Continuous Speech Recognition", IEEE Signal Processing Magazine 13(5): 45-57, 1996. gzipped postscript
• Young et al.: Young, S.J. et al., The HTK Book, CUED (v3.4), 2006. website
• Rabiner: Rabiner, L.R., A tutorial on HMM and selected applications in speech recognition, In Proc. IEEE, Vol. 77, No. 2, pp. 257-286, Feb. 1989.

Other books that you might find of interest include:

• Jurafsky & Martin: Jurafsky, D. and Martin, J.H., Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition, Prentice Hall, 2003 [0-131-22798-X]. £40
• Gold & Morgan: Gold, B. and Morgan, N., Speech and Audio Signal Processing: Processing and Perception of Speech and Music, New York: Wiley, 2000 [0-471-35154-7]. £77
• Gold, Morgan & Ellis: Gold, B., Morgan, N., and Ellis, D., Speech and Audio Signal Processing: Processing and Perception of Speech and Music (hardback), 2nd ed., New York: Wiley, 2011 [0-470-19536-3]. £65