Data · dataset · 2026
Voice Conversion Spoofing Dataset for Source Speaker Verification
Listed in ScienceDB
With the rapid development of deep learning-based Voice Conversion (VC) technology, attackers can compromise the security of Automatic Speaker Verification (ASV) systems by tampering with the source speaker's speech signal to mimic the target speaker's acoustic characteristics.
Description
The existing anti-spoofing countermeasures primarily focus on distinguishing between genuine and spoofed speech, yet underutilize the implicit source speaker identity information concealed within the spoofed speech.
This limitation hinders their ability to meet practical demands in scenarios such as forensic investigation and fraud traceability. Currently, research on source speaker identity verification and discrimination remains insufficient, and existing methods suffer from limited generalisation capabilities. To address this, this paper constructs a new voice conversion spoofing dataset specifically designed for source speaker verification, named VCSD-SSV (voice conversion spoofing dataset for source speaker verification).
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This dataset encompasses six VC algorithms (i.e., Seed-VC, FACodec, DDDM-VC, Diff-HierVC, TriAAN-VC, and Free-VC) and includes 400 speakers, totaling 327 677 speech samples (46 811 genuine samples and 280 866 converted samples).
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.35286 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Audio 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.35286 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:audio | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |