Cited by 21Speech Recognition and SynthesisSpeech and Audio ProcessingDomain Adaptation and Few-Shot Learning

Spoken Content and Voice Factorization for Few-Shot Speaker Adaptation

Wang, Tao, Tao, Jianhua, Fu, Ruibo, Yi, Jiangyan, Wen, Zhengqi, Zhong, Rongxiu·2020·Interspeech 2020

Integrity signals

Registry

Crossref · 10.21437/interspeech.2020-1745

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Existing zero-shot TTS work leverages speaker adaptation and speaker encoding methods, requiring additional fine-tuning, complex pre-designed features, or heavy structure engineering.

    “To tackle the zero-shot TTS problem, existing work leverages speaker adaptation [Chen et al., 2019, Wang et al., 2020] and speaker encoding [Arik et al., 2018, Casanova et al., 2022b] methods, requiring additional fine-tuning, complex pre-designed features, or heavy structure engineering.”

    From Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers (2023) · cites this paper as Wang et al., 2020

Cited by

Sorted by citations

Authors
Wang, T., Tao, J., Fu, R., Yi, J., Wen, Z., & Zhong, R.
Venue
Interspeech 2020
Publisher
ISCA
Published
2020-10-25
Pages
796-800
ISSN
2308-457X (ISSN-L)
OpenAlex
W3095035471
Cited by
21
References
0
Citations by year
2025: 4 · 2024: 3 · 2023: 5 · 2022: 5 · 2021: 4
FWCI
1.31
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 › Domain Adaptation and Few-Shot Learning
Keywords
speaker adaptation, low-resource speech

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review