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The **Treble10-RIR** dataset is a dataset for automatic speech recognition (ASR), containing high fidelity room-acoustic simulations from 10 different furnished rooms: 2 bathrooms, 2 bedrooms, 2 living rooms with hallway, 2 living rooms without hallway, 2 meeting rooms.
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The room volumes range between 14 and 46 m3, resulting in reverberation times between 0.17 and 0.84 s.
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This datacard provides examples of how to work with the data, explains how the data was generated, and describes the extensive metadata included in the dataset.
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## Example: Convolve speech with a Treble10 RIR
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The **Treble10-RIR** dataset is a dataset for automatic speech recognition (ASR), containing high fidelity room-acoustic simulations from 10 different furnished rooms: 2 bathrooms, 2 bedrooms, 2 living rooms with hallway, 2 living rooms without hallway, 2 meeting rooms.
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The room volumes range between 14 and 46 m3, resulting in reverberation times between 0.17 and 0.84 s.
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Illustrative plots of the rooms and device included in this dataset may be found in the repository outside of the dataset.
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This datacard provides examples of how to work with the data, explains how the data was generated, and describes the extensive metadata included in the dataset.
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## Example: Convolve speech with a Treble10 RIR
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