Datasets › Aurora-2
Aurora-2
The Aurora-2 data are based on a version of the original TIDigits (as available from LDC) downsampled at 8 kHz. Different noise signals have been artificially added to clean speech data. The software tool for filtering and noise adding is available in the download area. You can use the tool for creating distorted data at sampling rates of 8 or 16 kHz. The recognition experiments for Aurora-2 are based on the usage of the HTK recognizer as it is available from Cambridge University. Scripts and configuration files are part of the Aurora-2 CDs as they are distributed by ELRA/ELDA. A published paper is available describing some details of the data creation and the recognition experiments.
The experiments as distributed on the CDs are based on acoustic features as they are created as output of a cepstral analysis scheme that has been standardized by ETSI. We refer to this feature extraction scheme as first standard. Later on the advanced front-end has been standardized as a second standard. We provide a set of scripts in the download area for performing the Aurora-2 experiment with the advanced front-end. A report is available containing more details about the set-up and the obtained recognition results.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- Aurora-2
1 variant name, as the archive lists them.
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