FURI | Fall 2022
VivyNet: A New Approach to Creating AI-Generated Music
![Data icon, disabled. Four grey bars arranged like a vertical bar chart.](https://stg-furi.fsewp.asu.edu/wp-content/uploads/2020/11/FURI-Research-icons-DATA.png)
This FURI semester, this project focuses on experimenting with the concatenation of pre-trained encoder and decoder checkpoints to quickly perform task-specific tasks. Our research has uncovered possible ways that can translate text into poems. This research provides an entryway into further research that can solve task-specific problems that involve mapping data from one type to another. Future work about this research should look into other applications other than text-to-audio tasks to validate the idea of the concatenation of pre-trained checkpoints.
Student researcher
![Benjamin Herrera](https://stg-furi.fsewp.asu.edu/wp-content/uploads/2022/03/FURI-Benjamin-Herrera-Yezhou-Yang-2022-EG-2632w-768x1024.jpg)
Benjamin Joseph L. Herrera
Computer science
Hometown: Phoenix, Arizona, United States
Graduation date: Spring 2025