Topic outline

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      Module 1 - Introduction File
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      Module 2 - Short-time analysis File
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      Module 3 - Short-time processing File
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      Module 4 - Classic DSP File
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      Module 5 - Time-domain File
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      Module 6 - Fundamental frequency File
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      Module 7 - Voice Activity Detection File
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      Module 8 - Speech Production File
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      Module 9 - Speech Production Modelling File
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      Guest lecture by Abraham Zewoudie - Part 1: Speaker recognition File
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      Guest lecture by Abraham Zewoudie - Part 2: Speaker diarization File
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      Guest lecture by Jarmo Malinen: Computational modelling of speech File
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      Module 10 - Speech enhancement File
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      Jupyter lab notebooks for topic "Speech enhancement".

      Required packages: python3, jupter, jupyterlab, numpy, scipy, sounddevice (with pip), matplotlib

      Tested with fresh installation of anaconda (10/2020).

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      Module 11 - Speech coding (time-domain) File
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      Module 12 - Speech and audio coding (frequency-domain) File
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      Module 13 - Quality Evaluation File
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      Supplemental material: Rabiner & Schaffer "Speech processing" File
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