Reverberant speech database. The database was designed to train and test speech dereverberation methods that operate at 48kHz. Clean speech was made reverberant by convolving it 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: http://dx.doi.org/10.7488/ds/2117.
Valentini-Botinhao, Cassia. (2016). Reverberant speech database for training speech dereverberation algorithms and TTS models, 2016 [dataset]. University of Edinburgh. http://dx.doi.org/10.7488/ds/1425.