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: Asia/Seoul
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1:00 AM
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2:10 AM
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2:50 AM
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3:20 AM
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3:50 AM
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4:20 AM
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5:30 AM
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8:20 AM
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9:00 AM
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