| dc.contributor |
EPSRC - Engineering and Physical Sciences Research Council |
|
| dc.contributor |
Valentini-Botinhao, Cassia |
|
| dc.creator |
Valentini-Botinhao, Cassia |
|
| dc.date |
2016-03-22T11:04:35Z |
|
| dc.date |
2016-03-22T11:04:35Z |
|
| dc.date.accessioned |
2023-02-17T20:51:25Z |
|
| dc.date.available |
2023-02-17T20:51:25Z |
|
| dc.identifier |
Valentini-Botinhao, Cassia. (2016). Noisy speech database for training speech enhancement algorithms and TTS models, [dataset]. University of Edinburgh. School of Informatics. Centre for Speech Technology Research (CSTR). https://doi.org/10.7488/ds/1356. |
|
| dc.identifier |
https://hdl.handle.net/10283/1942 |
|
| dc.identifier |
https://doi.org/10.7488/ds/1356 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/243881 |
|
| dc.description |
## SUPERSEDED: THIS DATASET HAS BEEN REPLACED by the one which can be found at https://doi.org/10.7488/ds/2117. ## Clean and noisy parallel speech database. The database was designed to train and test speech enhancement methods that operate at 48kHz. A more detailed description can be found in the paper associated with the database.
Some of the noises were obtained from the Demand database, available here: http://parole.loria.fr/DEMAND/
The speech database was obtained from the Voice Banking Corpus, available here: http://homepages.inf.ed.ac.uk/jyamagis/release/VCTK-Corpus.tar.gz |
|
| dc.description |
The files are wav format audio data sampled at 48kHz. Each file contains a sentence recorded by a range of speakers in quiet studio conditions. This audio material was added to a range of different noise signals, constituting the parallel noisy dataset. Accompanying each audio file there is a text file containing the orthographic transcription of what was said in that particular audio sample. |
|
| dc.format |
application/zip |
|
| dc.format |
application/zip |
|
| dc.format |
application/zip |
|
| dc.format |
application/zip |
|
| dc.format |
application/zip |
|
| dc.format |
application/zip |
|
| dc.language |
eng |
|
| dc.publisher |
University of Edinburgh. School of Informatics. Centre for Speech Technology Research (CSTR) |
|
| dc.relation |
Cassia Valentini-Botinhao, Xin Wang, Shinji Takaki and Junichi Yamagishi. 2016. "Speech Enhancement for a Noise-Robust Text-to-Speech Synthesis System using Deep Recurrent Neural Networks" in Interspeech 2016. |
|
| dc.relation |
https://doi.org/10.7488/ds/2117 |
|
| dc.rights |
Creative Commons Attribution 4.0 International Public License |
|
| dc.source |
http://parole.loria.fr/DEMAND/ |
|
| dc.source |
http://homepages.inf.ed.ac.uk/jyamagis/release/VCTK-Corpus.tar.gz |
|
| dc.subject |
noisy speech |
|
| dc.subject |
speech enhancement |
|
| dc.subject |
speech synthesis |
|
| dc.subject |
Voice Bank Corpus |
|
| dc.subject |
Demand Corpus |
|
| dc.subject |
Mathematical and Computer Sciences::Speech and Natural Language Processing |
|
| dc.title |
## SUPERSEDED: THIS DATASET HAS BEEN REPLACED. ## Noisy speech database for training speech enhancement algorithms and TTS models |
|
| dc.type |
dataset |
|