| dc.contributor |
BMWF - Austrian Federal Ministry of Science and Research |
|
| dc.contributor |
FWF - Austrian Science Fund |
|
| dc.contributor |
Valentini-Botinhao, Cassia |
|
| dc.creator |
Valentini-Botinhao, Cassia |
|
| dc.creator |
Yamagishi, Junichi |
|
| dc.date |
2019-03-06T14:01:38Z |
|
| dc.date |
2019-03-06T14:01:38Z |
|
| dc.date.accessioned |
2023-02-17T20:53:12Z |
|
| dc.date.available |
2023-02-17T20:53:12Z |
|
| dc.identifier |
Valentini-Botinhao, Cassia; Yamagishi, Junichi. (2019). Alba speech corpus, [dataset]. University of Edinburgh. https://doi.org/10.7488/ds/2506. |
|
| dc.identifier |
https://hdl.handle.net/10283/3270 |
|
| dc.identifier |
https://doi.org/10.7488/ds/2506 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/244091 |
|
| dc.description |
Single speaker read speech corpus of a Scottish accented female native English speaker (Alba). The corpus was recorded in four speaking styles: plain (normal read speech, around 4 hours of recordings), fast (speaking as fast as possible, around 20 mins), clear_c (computer directed speech, around 28 mins) and clear_h (hearing impaired directed speech, around 20mins). Audio files are sampled at 48kHz, segmented into sentences and saved in uncompressed formant (.wav). The underlying sentences are stored in separate text files (.txt). |
|
| dc.format |
text/plain |
|
| dc.format |
audio/x-wav |
|
| dc.format |
audio/x-wav |
|
| dc.format |
audio/x-wav |
|
| dc.format |
audio/x-wav |
|
| dc.format |
application/zip |
|
| dc.format |
application/zip |
|
| dc.format |
application/zip |
|
| dc.format |
application/zip |
|
| dc.format |
text/plain |
|
| dc.language |
eng |
|
| dc.publisher |
University of Edinburgh |
|
| dc.relation |
https://doi.org/10.1016/j.specom.2015.09.002 |
|
| dc.relation |
Valentini-Botinhao, C, Toman, M, Pucher, M, Schabus, D & Yamagishi, J 2015, 'Intelligibility of time-compressed synthetic speech: Compression method and speaking style' Speech Communication, vol. 74, pp. 52-64. DOI: 10.1016/j.specom.2015.09.002 |
|
| dc.rights |
The dataset is released under the Creative Commons License: Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/legalcode . The Creative Commons licence does not affect the moral rights of the voice talent with respect to the recordings. Any use derogatory to the voice talent is prohibited. Please note the following section of the Creative Commons licence under which this dataset is released: "b. Other rights. 1. Moral rights, such as the right of integrity, are not licensed under this Public License, nor are publicity, privacy, and/or other similar personality rights; however, to the extent possible, the Licensor waives and/or agrees not to assert any such rights held by the Licensor to the limited extent necessary to allow You to exercise the Licensed Rights, but not otherwise." |
|
| dc.subject |
speech synthesis |
|
| dc.subject |
fast speech |
|
| dc.subject |
clear speech |
|
| dc.subject |
Mathematical and Computer Sciences::Speech and Natural Language Processing |
|
| dc.title |
Alba speech corpus |
|
| dc.type |
dataset |
|
| dc.coverage |
Scotland |
|
| dc.coverage |
UK |
|
| dc.coverage |
UNITED KINGDOM |
|