The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Adaptive Text to Speech for Spontaneous Style
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Today's state-of-the-art TTS/VC systems require much less training data for each target speaker than earlier systems.
“Whereas earlier databases were generated using TTS/VC systems which required extensive training data for each target speaker, today's state-of-the-art systems require much less.”
From ASVspoof 5: Design, collection and validation of resources for spoofing, deepfake, and adversarial attack detection using crowdsourced speech (2026) · cites this paper as Yan et al., 2021
Pre-trained TTS/VC systems are fine-tuned using relatively few utterances collected from the specific target speaker.
“Typically, they are trained using huge collections of speech collected from a large number of speakers. Pre-trained systems are then fine-tuned using relatively few utterances collected from the specific target speaker (Wu et al., 2015b; Arik et al., 2018; Yan et al., 2021; Chen et al., 2021a).”
From ASVspoof 5: Design, collection and validation of resources for spoofing, deepfake, and adversarial attack detection using crowdsourced speech (2026) · cites this paper as Yan et al., 2021
Citations
Cites
MelGAN: generative adversarial networks for conditional waveform synthesis
Kumar, K., Kumar, R., de Boissiere, T., Gestin, L., Teoh, W. Z., Sotelo, J., de Brebisson, A., Bengio, Y., & Courville, A. (2019) · arXiv · doi:10.48550/arxiv.1910.06711 · Cited by 722
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A survey on neural speech synthesis
Tan, X., Qin, T., Soong, F., & Liu, T.-Y. (2021) · arXiv · doi:10.48550/arxiv.2106.15561 · Cited by 216
Self-citationWang, X., Delgado, H., Tak, H., Jung, J.-W., Shim, H.-J., Todisco, M., Kukanov, I., Liu, X., Sahidullah, M., Kinnunen, T., et al. (2026) · Computer Speech & Language · doi:10.1016/j.csl.2025.101825 · Cited by 30
Self-citation
Metadata
- Authors
- Yan, Y., Tan, X., Li, B., Zhang, G., Qin, T., Zhao, S., Shen, Y., Zhang, W.-Q., & Liu, T.-Y.
- Venue
- Interspeech 2021
- Publisher
- ISCA
- Published
- 2021-08-30
- Pages
- 4668-4672
- ISSN
- 2308-457X (ISSN-L)
- OpenAlex
- W3194208059
- Cited by
- 23
- References
- 1
- Citations by year
- 2026: 1 · 2025: 7 · 2024: 3 · 2023: 9 · 2022: 2 · 2021: 1
- FWCI
- 1.67
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Interspeech (USB) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Keywords
- text-to-speech, spontaneous speech, conversational speech, speech style
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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