Speech synthesis techniques. A survey
By Youcef Tabet, M. Boughazi. 2011
82 citations recorded by the source corpus.
Subfields: Artificial Intelligence
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
- Xu Tan
- Tao Qin
- Tie-Yan Liu
- Frank K. Soong
- Sheng Zhao
- Yi Ren
- Ajit Kumar Nayak
- Satyananda Champati Rai
Citations in the corpus
- A Survey on Neural Speech Synthesis (2021, background): “While there are multiple survey papers on statistical parametric speech synthesis [27, 418, 351, 415] and neural TTS [325, 220, 300, 242, 115, 254, 236], a comprehensive survey on the basics and the recent developments of neural TTS is still necessary since the topics in this area are diverse and ev”
- A survey on speech synthesis techniques in Indian languages (2020, background): “A typical TTS system (or engine) is composed of two parts: NLP (Natural Language Processing) interface at the front-end and DSP (Digital Signal Processing) interface at the back-end [35].”
- A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI (2023, unknown): “While [111] reviews text-to-speech works, it mainly highlights the digital signal processing components.”