Topic outline

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

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