Doing Voice Studies in the Digital Humanities

This training will introduce you to open-source, user-friendly tools for analyzing and visualizing intonation and timing patterns in recordings of performative speech, from poetry readings to political speeches to podcasts. Developed with an ACLS Digital Innovations Fellowship and a NEH Digital Humanities Advancement grant, these tools apply state-of-the-art pitch tracking and a speech recognition toolkit using advanced neural networks. They can help scholars in sound and voice studies test and refine impressions about individual performance styles and changes and trends over time. Participants are encouraged to bring a Mac laptop.