Template-warping based speech driven head motion synthesis

By David A. Braude, Hiroshi Shimodaira, Atef Ben Youssef. 2013

7 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Edresson Casanova
2. Moacir Antonelli Ponti
3. Christopher Dane Shulby
4. Sandra Maria Aluísio
5. Frederico Santos de Oliveira
6. Arnaldo Candido
7. João Paulo Ramos Teixeira
8. Nima Mesgarani

In Computer Vision and Pattern Recognition

1. Moacir Antonelli Ponti
2. Edresson Casanova
3. Sandra Maria Aluísio
4. Frederico Santos de Oliveira
5. Christopher Dane Shulby
6. Arnaldo Candido
7. João Paulo Ramos Teixeira

In Signal Processing

1. Moacir Antonelli Ponti
2. Edresson Casanova
3. Sandra Maria Aluísio
4. Frederico Santos de Oliveira
5. Christopher Dane Shulby
6. Arnaldo Candido
7. João Paulo Ramos Teixeira

Citations in the corpus

• End-To-End Speech Synthesis Applied to Brazilian Portuguese (2020, methodology): “) models [Charpentier 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 an”