Statistical Parametric Speech Synthesis: A review
By Athira Aroon, S. Dhonde. 2015
13 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Edresson Casanova
- Christopher Dane Shulby
- Arnaldo Cândido Júnior
- Frederico Santos de Oliveira
- Arnaldo Candido
- Moacir Antonelli Ponti
- Sandra Maria Aluísio
- Zhaoxi Mu
Citations in the corpus
- TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese (2020, background): “In addition, Hidden Markov Model (HMM) based synthesis is still a topic of research [9, 10, 11], as well as a variety of Unit Selection Models [12, 13].”
- Review of end-to-end speech synthesis technology based on deep learning (2021, methodology): “For example, Deng et al. [43] analyzed the number of documents and citations of TTS papers from 1992 to 2017, aiming to help researchers understand the development trend of TTS. Aroon and Dhonde [5] reviewed SPSS methods based on HMM. Adiga and Prasanna [1] reviewed SPSS methods and partially deep l”
- End-To-End Speech Synthesis Applied to Brazilian Portuguese (2020, methodology): “ and Stella, 1986] widely used in TTS engines like Microsoft Speech API. In addition, Hidden Markov Model (HMM) based synthesis is still a topic of research [Tokuda et al., 2000, Braude et al., 2013, Aroon and Dhonde, 2015], as well as a variety of Unit Selection Models [Wang and Georgila, 2011, Sid”