Noisy reverberant speech database for training speech enhancement algorithms and TTS models
Date Available
2017-09-14Type
datasetData Creator
Valentini-Botinhao, CassiaPublisher
University of EdinburghRelation (Is Referenced By)
https://doi.org/10.1109/TASLP.2018.2828980Metadata
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Citation
Valentini-Botinhao, Cassia. (2017). Noisy reverberant speech database for training speech enhancement algorithms and TTS models, 2016 [dataset]. University of Edinburgh. https://doi.org/10.7488/ds/2139.Description
Noisy reverberant speech database. The database was designed to train and test speech enhancement (noise suppression and dereverberation) methods that operate at 48kHz. Clean speech was made reverberant and noisy by convolving it with a room impulse response and then adding it to a noisy signal that was also convolved with a room impulse response. The room impulse responses used to create this dataset were selected from: - The ACE challenge (http://www.commsp.ee.ic.ac.uk/~sap/projects/ace-challenge/) - The MIRD database (http://www.iks.rwth-aachen.de/en/research/tools-downloads/multichannel-impulse-response-database/) - The MARDY database (http://www.commsp.ee.ic.ac.uk/~sap/resources/mardy-multichannel-acoustic-reverberation-database-at-york-database/) The underlying clean speech data can be found in: https://doi.org/10.7488/ds/2117 . The speech-shaped and babble noise files that were used to create this dataset are available here: http://homepages.inf.ed.ac.uk/cvbotinh/se/noises/.The following licence files are associated with this item: