Introduction to Speech Technology

I teach a course in Introduction to Speech Technology which is part of the Professional MS in Computational Linguistics.

This course is intended to give an introduction to the key concepts and components of speech technology. Students taking this course will gain a good understanding of what speech technology is, how it works and what you can do with it.

Topics include:
  • The mechanics of current speech technologies, i.e. automatic speech recognition (ASR), text-to-speech (TTS) and speaker verification and identification (SVI) with particular focus on ASR
  • Techniques for successful implementation of speech technology components with examples from state-of-the-art real-life applications
  • ASR challenges and ways to overcome them
  • Pertinent differences and similarities between human-to-human speech communication and speech technology
  • Speech technology research, the innovation process and the future
Hands-on experience with speech technology will be gained through building your own speech recognizer as well as designing your own speech application.

    MS Student theses and projects

  • Maria Alexandropoulou: Agreement/Disagreement detection and the role of linguistic coordination and conversational features, 2014
  • Anthony Gentile: Sentence structure in domain adaptation for sentiment classification, 2013
  • Stella Podgornik: Automatic detection of language levels in L2 English learners, 2013
  • Ka Yee Lun: Feature extraction for Cantonese ASR, 2012
  • Andrew Freeman: Automatic diacritic recovery and dialect recognition of Yemeni Arabic, 2010
  • Anya Smirnova: Automatic spoken language identification, 2010

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Professional MS in Computational Linguistics  |  Department of Linguistics  |  University of Washington