Link to working document: [https://docs.google.com/document/d/1Lgm4kqgmSjoNI6FwMkoxxomqiio9crdn0IQKcrLcwII/edit?usp=sharing][1] **About** Voice analysis has serious issues of reproducibility and gatekeeping. Here we will break down those barriers by teaching you how to code your own reproducible voice analysis in Python and use VoiceLab, a software package designed to remove entry barriers for researchers and perform publication ready automated reproducible voice analysis with a single button click. **Resources** This workshop will use Google Colab to run Python code. Google Colab is an based on Jupyter Notebooks and allows us to run and share our code online without setting up any software. All the code get's executed on Google's servers, so there's nothing to do but head over to https://colab.research.google.com/. If you have a google drive account, you can upload some voices to it and I'll walk you through linking the accounts. If not, you can upload some voices for now during the session and they'll get removed when the runtime resets. **References** https://voice-lab.github.io/VoiceLab/ https://github.com/Voice-Lab/VoiceLab https://parselmouth.readthedocs.io/en/stable/index.html Jadoul, Y., Thompson, B., & de Boer, B. (2018). Introducing Parselmouth: A Python interface to Praat. Journal of Phonetics, 71, 1-15. https://doi.org/10.1016/j.wocn.2018.07.001 Boersma, P., & Weenink, D. (2018). Praat: doing phonetics by computer [Computer program]. Version 6.0.37, retrieved 3 February 2018 from http://www.praat.org/ https://github.com/SamLau95/Lectures [1]: https://docs.google.com/document/d/1Lgm4kqgmSjoNI6FwMkoxxomqiio9crdn0IQKcrLcwII/edit?usp=sharing