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Search resuls for: "Garrett Schumann"


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☆ Her Music Fell Into Obscurity. Now It’s Back at the Philharmonic.
  + stars: | 2023-11-20 | by ( Garrett Schumann | ) www.nytimes.com   time to read: +1 min
The New York Philharmonic’s program this week contains familiar names, Gustav Holst and György Ligeti. But in between is a first for the orchestra: “Stabat Mater,” a 1951 work for contralto and strings by Julia Perry. This will not be the first time that Perry has shared the stage with more well-known composers. The mezzo-soprano J’Nai Bridges, who will make her Philharmonic debut on Wednesday performing in the “Stabat Mater” solo part, said of the piece: “I love the vocal writing. It’s intense, it’s very introspective, it’s very intimate and also very extreme.” Dima Slobodeniouk, who will conduct the program, described it as “logically and beautifully written.”
Persons: Gustav Holst, György Ligeti, Mater, ”, Julia Perry, Perry, Mater ”, George Antheil’s, Aaron Copland, Ross Parmenter, “, J’Nai Bridges, Dima Slobodeniouk Organizations: Columbia University Composers, The New York Times Locations: York
☆ What Happens When A.I. Enters the Concert Hall
  + stars: | 2023-06-10 | by ( Garrett Schumann | ) www.nytimes.com   time to read: +1 min
When the composer and vocalist Jen Wang took the stage at the Monk Space in Los Angeles to perform Alvin Lucier’s “The Duke of York” (1971) earlier this year, she sang with a digital rendition of her voice, synthesized by artificial intelligence. It was the first time she had done that. “I thought it was going to be really disorienting,” Wang said in an interview, “but it felt like I was collaborating with this instrument that was me and was not me.”Isaac Io Schankler, a composer and music professor at Cal Poly Pomona, conceived the performance and joined Wang onstage to monitor and manipulate Realtime Audio Variational autoEncoder, or R.A.V.E., the neural audio synthesis algorithm that modeled Wang’s voice. is an example of machine learning, a specific category of artificial intelligence technology that musicians have experimented with since the 1990s — but that now is defined by rapid development, the arrival of publicly available, A.I.-powered music tools and the dominating influence of high-profile initiatives by large tech companies.
Persons: Jen Wang, Alvin Lucier’s “, Duke, York, ” Wang, Isaac Io Schankler, Wang Organizations: Cal Poly Pomona Locations: Los Angeles
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