محتويات مقرر Automatic Speech Recognition

 Course Content :-

  • Overview of Speech Technology and ASR.

  • Speech Signal Fundamental I.

  • Speech Signal Fundamental II.

  • Speech Production.

  • Sounds in Languages I.

  • Sounds in Languages II.

  • Word-based Template Matching.

  • Probability Review + Intro to HMMs.

  • Hidden Markov Models Toolkit (HTK).

  • Speech Recognition Using HMMs Hidden Markov Models Toolkit (HTK).

  • Project Proposal (+Progress) Presentation Speech Recognition Using HMMs.

  • Language models for LVCSR.

  • Robust ASR.

  • Adaptation, Speaker recognition and History of speech recognition.

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