Zhiyao Duan

Medicine, engineering, and pedagogy experts harmonize to help a French horn student overcome a rare throat condition.

The voice-changer system will produce computer-generated speech within milliseconds, allowing users to control factors like age, gender, and dialect.

BachDuet, developed by University of Rochester researchers, allows users to improvise duets with an artificial intelligence partner.

Four Rochester researchers from four different fields are 2019 recipients of the National Science Foundation’s most prestigious recognition for junior faculty members.

Using recital halls as their “labs,” and recording some of the best music students in the world, University researchers are creating virtual reality videos of concerts that literally immerse viewers “within” the performance onstage.

Two undergraduates have joined a summer research project focused on building a machine-learning interface that generates musical scores from audio files.

Zhiyao Duan, an assistant professor of electrical and computer engineering who also sings in the Chinese Choral Society of Rochester, lent his engineering skills to an innovation that provides the audience with live lyrics and translations.

In the musical realm, notes “between the cracks” of conventional pitches are called blue notes. Researchers at Rochester are using advanced tools of music technology to unlock the secrets of blue notes.

The University's Goergen Institute for Data Science has awarded grants to three projects aimed at using big data to improve treatment of patients who are in intensive care or who suffer from epilepsy or mental disorders.