Reverberant speech database for training speech dereverberation algorithms and TTS models

Dataset

Abstract

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.

Data Citation

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.
Date made available22 Mar 2016
PublisherEdinburgh DataShare
Geographical coverageUnited Kingdom
  • 1 Conference contribution
  • 1 Article

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