Redefining the Linguistic Context Feature Set for HMM and DNN TTS Through Position and Parsing
By R. Dall, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda. 2016
11 citations recorded by the source corpus.
Subfields: Artificial Intelligence
How researchers see this paper
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In Artificial Intelligence
- Yoshua Bengio
- Sergey Levine
- Quoc V. Le
- Mohit Bansal
- Ruslan Salakhutdinov
- Pieter Abbeel
- Kyunghyun Cho
- Jianfeng Gao
Citations in the corpus
- Sample Efficient Adaptive Text-to-Speech (2018, methodology): “Set of linguistic features Our linguistic features are almost the same as those listed in Dall et al. (2016).”
- Exploiting Syntactic Features in a Parsed Tree to Improve End-to-End TTS (2019, unknown): “[23], [24] and [25].”