音響・音声・信号処理、機械学習分野で世界最大の国際学会である2023 IEEE International Conference on Acoustics, Speech, and Signal Processing（ICASSP2023）にて赤間健人、成田岳、清水惇一が発表を行い、Top3％の論文として選ばれました。
GANStrument: Adversarial Instrument Sound Synthesis with Pitch-invariant Instance Conditioning
Gaku Narita, Junichi Shimizu, Taketo Akama
https://ieeexplore.ieee.org/document/10097250
https://arxiv.org/abs/2211.05385
GANStrumentデモサイト(Audioサンプル)
https://ganstrument.github.io/ganstrument-demo/
GANStrumentアプリ紹介サイト
https://cslmusicteam.sony.fr/prototypes/ganstrument/
Sony shows neural synthesizer GANstrument(THE DECODER)
https://the-decoder.com/sonys-ganstrument-turns-a-rooster-into-a-cello/
Gaku Narita, Junichi Shimizu, and Taketo Akama presented at the 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing(ICASSP2023), the world's largest international conference in the fields of acoustics, speech, signal processing, and machine learning, and their paper was selected as one of the Top 3% papers.
GANStrument: Adversarial Instrument Sound Synthesis with Pitch-invariant Instance Conditioning
Gaku Narita, Junichi Shimizu, Taketo Akama
https://ieeexplore.ieee.org/document/10097250
https://arxiv.org/abs/2211.05385
GANStrument demo site (audio samples)
https://ganstrument.github.io/ganstrument-demo/
GANStrument app presentation website
https://cslmusicteam.sony.fr/prototypes/ganstrument/
Sony shows neural synthesizer GANstrument(THE DECODER)
https://the-decoder.com/sonys-ganstrument-turns-a-rooster-into-a-cello/
