Treble and Hugging Face Collaborate to Advance Audio ML
Treble Technologies and Hugging Face have partnered to make physically accurate acoustic simulation data openly accessible to the global research community.
As part of this collaboration, we are releasing the Treble10 dataset, a new open dataset containing broadband room impulse responses (RIRs) and speech-convolved acoustic scenes from ten distinct furnished rooms. The dataset is now freely available on the Hugging Face Hub for non-commercial research.
This collaboration aims to lower the barrier to entry for audio and speech machine learning research by providing high-quality, physics-based acoustic data that was previously difficult to obtain or reproduce.