SUPERSEDED - CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR Voice Cloning Toolkit
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# SUPERSEDED - This item has been replaced by the one which can be found at https://doi.org/10.7488/ds/1994 . # This CSTR VCTK Corpus (Centre for Speech Technology Voice Cloning Toolkit) includes speech data uttered by 109 native speakers of English with various accents. Each speaker reads out about 400 sentences, most of which were selected from a newspaper plus the Rainbow Passage and an elicitation paragraph intended to identify the speaker's accent. The newspaper texts were taken from The Herald (Glasgow), with permission from Herald & Times Group. Each speaker reads a different set of the newspaper sentences, where each set was selected using a greedy algorithm designed to maximise the contextual and phonetic coverage. The Rainbow Passage and elicitation paragraph are the same for all speakers. The Rainbow Passage can be found in the International Dialects of English Archive: (http://web.ku.edu/~idea/readings/rainbow.htm). The elicitation paragraph is identical to the one used for the speech accent archive (http://accent.gmu.edu). The details of the speech accent archive can be found at http://www.ualberta.ca/~aacl2009/PDFs/WeinbergerKunath2009AACL.pdf . All speech data were recorded using an identical recording setup: an omni-directional head-mounted microphone (DPA 4035), 96kHz sampling frequency at 24 bits and in a hemi-anechoic chamber of the University of Edinburgh. All recordings were converted into 16 bits, downsampled to 48 kHz based on STPK, and manually end-poi…
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The ASVspoof 2019 dataset was constructed using the VCTK corpus, featuring recordings from 107 speakers.
“This dataset was constructed using the VCTK corpus [73], featuring recordings from 107 speakers.”
From Audio Deepfake Detection: What Has Been Achieved and What Lies Ahead (2025) · cites this paper as [73]
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Cited by 434
- Authors
- Veaux, C., Yamagishi, J., & MacDonald, K.
- ORCID
- Yamagishi, Junichi
- Venue
- University of Edinburgh. The Centre for Speech Technology Research (CSTR)
- Publisher
- University of Edinburgh. The Centre for Speech Technology Research (CSTR)
- Published
- 2016
- OpenAlex
- W2527729766
- Cited by
- 434
- References
- 0
- Citations by year
- 2025: 26 · 2024: 22 · 2023: 31 · 2022: 47 · 2021: 125 · 2020: 94 · 2019: 59 · 2018: 23 · 2017: 4 · 2016: 2 · 2015: 1
- Type
- other
- Language
- en
- Open access
- green
- doi.org
- Locations
- University of Edinburgh
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
- Keywords
- VCTK, voice cloning, multi-speaker speech, speech accent, Rainbow Passage, native English speakers
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