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  [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1A8CDbaY9q2ezr0LhpySW2Ygc7rwgObgL?usp=sharing)
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- The **Treble10-Speech** dataset is a dataset for automatic speech recognition (ASR), containing pre-convolved speech files using 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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  ## Examples: accessing a reverberant mono speech file:
 
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  [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1A8CDbaY9q2ezr0LhpySW2Ygc7rwgObgL?usp=sharing)
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+ The **Treble10-Speech** dataset is a dataset for automatic speech recognition (ASR), containing pre-convolved speech files using high fidelity room-acoustic simulations from the [Treble10-RIR dataset](https://huggingface.co/datasets/treble-technologies/Treble10-RIR) with 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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  ## Examples: accessing a reverberant mono speech file: