Please use this identifier to cite or link to this item:
https://doi.org/10.25540/4VMK-AYPV
| DC Field | Value | |
|---|---|---|
| dc.title | Localizing Fake Segments in Speech | |
| dc.contributor.author | SIM MONG CHENG, TERENCE | |
| dc.contributor.author | BOWEN ZHANG | |
| dc.coverage.spatial | Singapore | |
| dc.date.accessioned | 2022-06-24T08:20:02Z | |
| dc.date.available | 2022-06-20 | |
| dc.date.issued | 2022-06-20 | |
| dc.identifier.citation | SIM MONG CHENG, TERENCE, BOWEN ZHANG (2022-06-20). Localizing Fake Segments in Speech. 1.0. ScholarBank@NUS Repository. [Dataset]. <a href="https://doi.org/10.25540/4VMK-AYPV" target="_blank">https://doi.org/10.25540/4VMK-AYPV</a> | |
| dc.identifier.relatedcitation | Bowen Zhang and Terence Sim, Localizing Fake Segments in Speech, published International Conference on Pattern Recognition, Montreal, Canada, 2022. | |
| dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/227398 | |
| dc.identifier.uri | https://doi.org/10.25540/4VMK-AYPV | |
| dc.description.abstract | <p>Partial Synthetic Detection (Psynd) dataset is a multi-speaker English corpus of 2294 utterances, approximately 13 hours English speech at 24kHz sampling rate. It is derived from LibriTTS , a read English speech corpus (all real voices) designed for TTS research. The data samples are real utterances injected with voice cloning synthetic speech. The fake parts are generated by state-of-art multi-speaker text-to-speech method and have high similarity with target speakers characterized by Global Style Token (GST) and X-Vector. </p> | |
| dc.rights | CC0 1.0 Universal | |
| dc.rights.uri | http://creativecommons.org/publicdomain/zero/1.0/ | |
| dc.subject | Computer Science | |
| dc.type | Dataset | |
| dc.description.version | 1.0 | |
| dc.contributor.department | COMPUTATIONAL SCIENCE | |
| dc.description.doi | doi:10.25540/4VMK-AYPV | |
| dc.relation.item | Localizing Fake Segments in Speech | |
| dc.type.dataset | .zip | |
| dc.type.dataset | .txt | |
| dc.description.contactprofile | SIM MONG CHENG, TERENCE | |
| Appears in Collections: | Other Dataset | |
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Files in This Item:
| File | Description | Size | Format | Access Settings | |
|---|---|---|---|---|---|
| Psynd.zip | Dataset file | 1.77 GB | ZIP | CLOSED | Request a copy |
| Psynd_readme.txt | Readme file | 1.65 kB | Text | OPEN | View/Download |
This item is licensed under a Creative Commons License
