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Guest lecture: Melvin Wevers on Working with Audio Files
March 28 @ 1:00 pm – 4:00 pm
For Platform{DH} we open up some guest lectures given in the Master Digital Text Analysis. First up: Melvin Wever’s guest lecture on working with audio files for the course Computational Literary Studies.
Description
In this guest lecture, we will work on audio files. Besides loading, editing, and visualising audio files, we will extract different kinds of features from audio. These features can be used for all kinds of machine learning tasks, such as classification. In the second part of the lecture, we will work on speech-to-text algorithms to convert speech into text and detect different speakers in an audio file.
About Melvin Wevers
Since 2020, Melvin Wevers is an Assistant Professor in Digital History at the University of Amsterdam. His research focuses on the application of computational methods to model historical processes, by combining insights from the philosophy of history with the affordances of modeling techniques, such as time series analysis, bayesian statistics, deep/machine learning, and information theory.
The lecture will be held in English and is free to attend. However, registration is required as spaces are limited. Please confirm your attendance by sending an RSVP e-mail to platformdh@uantwerpen.be.