DSRC Colloquium - May 25th, 2020 - "Fake Folk Music” + An Ignite-Talks Session

"Fake Folk Music” + An Ignite-Talks Session

14:00-14:40 - "Fake Folk Music” Prof. Oded Ben-Tal (Kingston University) 

Abstract

I will be presenting on ongoing research collaboration using deep learning on melodic transcriptions of folk tunes. Our initial data set is a large collection of folk tunes crowd sources online. We used those to create a model that produces plausible outputs that share many of the characteristics of the original style. But as a composer, I wanted to prod this model in less conventional directions. Doing this, we discovered that the system did not in fact learn what we initially thought it did. My talk will explain our approach to machine learning with focus on evaluation of the model and the link between computational and creative research.

14:40-16:00 - An Ignite-Talks Session - a series of ignite talks by leading experts from the University of Haifa on:

• Challenges and opportunities in time-to-event data by Dr. Bella Vakulenko-Lagun (Dept. of Statistics)

• From lone wolves to doves – inferring group behavior of pairs of museum visitors from sensors’ data by Prof. Tsvi Kuflik (Dept. of Information Systems)

• A reliability metric for complex data by Prof. Philip Tzvi Reiss

(Dept. of Statistics)

• Emergent properties of dynamic complex interactions by Dr. Osnat (Ossi) Mokryn (Dept. of Information Systems)

• Linking multiple domains of stress responsivity by Dr. Roee Admon

(School of Psychology)

• Statistical learning of dynamic systems by Dr. Itai Dattner (Dept. of Statistics)

• Text mining and information extraction: application to social media and across disciplines by Dr. Einat Minkov

(Dept. of Information Systems)

• AstroInformatics: cosmological sunsets by Prof. Doron Chelouche (Haifa Research Center for Theoretical Physics & Astrophysics)

Zoom Meeting Recording Here

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