AI Heard That! ICML 2025 Workshop on Machine Learning for Audio
Alice Baird · Sander Dieleman · Chris Donahue · Brian Kulis · David Liu · Rachel Manzelli · Shrikanth Narayanan
Abstract
The Machine Learning for Audio workshop at ICML 2025 will cover a broad range of tasks and challenges involving audio data. These include, but are not limited to: methods of speech modeling, environmental sound generation or other forms of ambient sound, novel generative models, music generation in the form of raw audio, text-to-speech methods, denoising of speech and music, data augmentation, classification of acoustic events, transcription, source separation, and multimodal problems.
Video
Chat is not available.
Schedule
Timezone: America/Los_Angeles
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9:00 AM
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10:10 AM
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10:50 AM
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11:20 AM
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11:50 AM
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12:20 PM
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1:30 PM
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4:00 PM
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4:20 PM
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