Editing Festival Speech Synthesis System (1997) (section)

== Future research ==
In this section, we propose a direction for future research. The festival speech synthesis system is a powerful and versatile open-source text-to-speech (TTS) system. Although this system supports multiple languages, there may be a limited selection of pre-built voices available for certain languages and dialects and creating new voices can be a time-consuming process.<ref>Karolina K., Pawel K. and Aleksandra W.(2018), Speech synthesis systems: disadvantages and limitations. ''International Journal of Engineering & Technology.'', Vol. 7, No. 2.28, 234-239, <nowiki>https://doi.org/10.14419/ijet.v7i2.28.12933</nowiki></ref><ref>A.Acero(2002), An overview of text-to-speech synthesis, ''IEEE Workshop on Speech Coding Proceedings'', 17-20, doi: 10.1109/SCFT.2000.878372</ref>

Since the 2000s, the development of, [[Advancements in Neural Network-Based TTS (2000s)|advancements in Neural Network-Based TTS]] has contributed greatly to reducing the time it takes to synthesize speech, increasing accuracy, and effective speech collection. [[Hidden Markov Models in Speech Synthesis|HMM-based speech synthesis]] offers the capability to produce speech in various speaking styles while demanding less storage space.<ref>Xu Tan, Tao Qin, Frank Soong, Tie-Yan Liu.(2021), "A Survey on Neural Speech Synthesis", doi : 10.48550/arXiv.2106.15561.</ref><ref>G. Hinton et al.(2012), "Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups," ''IEEE Signal Processing Magazine'', vol. 29, no. 6, pp. 82-97, doi: 10.1109/MSP.2012.2205597.</ref>  

Since the 2010s then, the market has become more active with the development of [[Commerical TTS - Google, Amazon and Apple (2010s)|commercial TTS-speech synthesis services]] such as Google, Amazon, and Apple. Speech synthesis services, led by large companies, have contributed to effectively collecting minority-oriented speech for specific languages and dialects and shortening the time it takes to generate new speech after the festival speech synthesis system.     

In summary, the festival speech synthesis system in the context of voice synthesis technology is underscored by collecting large data set in specific words. In other words, although pre-built speech data for specific languages and dialects is being collected by large companies, there are still limitations. However, as data on minority languages gradually accumulates due to the development of [[Advancements in AI TTS (2020s)|AI TTS]], the field of speech synthesis is expected to develop even more rapidly.<ref>Dan. B., Peter. C.(2021), Challenges for Edge-AI Implementation of Text-To-Speech Synthesis, ''IEEE International Conference on Customer Electronics(ICCE)'', doi: 10.1109/ICCE50685.2021.9427679</ref>