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Depositordc.contributorValentini-Botinhao, Cassia
Funderdc.contributor.otherEPSRC - Engineering and Physical Sciences Research Councilen_UK
Spatial Coveragedc.coverage.spatialUKen
Spatial Coveragedc.coverage.spatialUNITED KINGDOMen
Time Perioddc.coverage.temporalstart=2016-05; end=2016-06; scheme=W3C-DTFen
Data Creatordc.creatorValentini-Botinhao, Cassia
Citationdc.identifier.citationValentini-Botinhao, Cassia. (2017). Noisy reverberant speech database for training speech enhancement algorithms and TTS models, 2016 [dataset]. University of Edinburgh.
Persistent Identifierdc.identifier.uri
Persistent Identifierdc.identifier.uri
Dataset Description (abstract)dc.description.abstractNoisy 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 ( - The MIRD database ( - The MARDY database ( The underlying clean speech data can be found in: . The speech-shaped and babble noise files that were used to create this dataset are available here:
Publisherdc.publisherUniversity of Edinburghen_UK
Relation (Is Referenced By)dc.relation.isreferencedby
Relation (Is Referenced By)dc.relation.isreferencedbyCassia Valentini-Botinhao ; Junichi Yamagishi. Speech Enhancement of Noisy and Reverberant Speech for Text-to-Speech. IEEE/ACM Transactions on Audio, Speech, and Language Processing ( Volume: 26, Issue: 8, Aug. 2018 ) .
Rightsdc.rightsCreative Commons Attribution 4.0 International Public Licenseen
Sourcedc.sourceThe ACE challenge (
Sourcedc.sourceThe MIRD database (
Sourcedc.sourceThe MARDY database (
Sourcedc.sourceThe CSTR VCTK Corpus (
Sourcedc.sourceThe Demand database (
Subjectdc.subjectSpeech enhancementen_UK
Subjectdc.subjectNoise suppressionen_UK
Subject Classificationdc.subject.classificationMathematical and Computer Sciences::Speech and Natural Language Processingen_UK
Titledc.titleNoisy reverberant speech database for training speech enhancement algorithms and TTS modelsen_UK

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