Prospects for articulatory synthesis: A position paper

By C. Shadle, Robert I. Damper. 2001

59 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.

1. Xu Tan
2. Rongjie Huang
3. Tao Qin
4. Dongchao Yang
5. Tie-Yan Liu
6. Songxiang Liu
7. Frank K. Soong
8. Xuejiao Tan

Citations in the corpus

• UniAudio: An Audio Foundation Model Toward Universal Audio Generation (2023, methodology): “…designs are inspired by and derived from linguistics and phonetics (Zen et al., 2013), signal processing (Griffin & Lim, 1984), auditory perception (Shadle & Damper, 2001) and machine learning (Wang et al., 2016) research etc; (4) they use different generative model, such as diffusion model (Huang…”
• A Survey on Neural Speech Synthesis (2021, methodology): “The early computer-based speech synthesis methods include articulatory synthesis [52, 294], formant synthesis [293, 5, 167, 168], and concatenative synthesis [247, 235, 291, 124, 26].”