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Tag: Zhiyao Duan

Play a Bach duet with an AI counterpoint

Play a Bach duet with an AI counterpoint

June 8, 2022

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

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CAREER awards spur junior researchers along varied paths

CAREER awards spur junior researchers along varied paths

April 5, 2019

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

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Giving virtual reality a ‘visceral’ sound

Giving virtual reality a ‘visceral’ sound

February 13, 2018

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.

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With automatic transcription, musicians can save themselves the treble

With automatic transcription, musicians can save themselves the treble

August 3, 2017

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

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New system displays song lyrics in real time, multiple languages

New system displays song lyrics in real time, multiple languages

May 16, 2017

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.

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Unlocking the secrets of blue notes

Unlocking the secrets of blue notes

March 31, 2017

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.

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Three health analytics projects receive pilot funding

Three health analytics projects receive pilot funding

August 25, 2016

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.

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