Festival Speech Synthesis System (1997): Difference between revisions

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== Future research ==
== Future research ==
The Festival Speech Synthesis System is a powerful and versatile open-source text-to-speech (TTS) system, but it has some limitations such as  
The Festival Speech Synthesis System is a powerful and versatile open-source text-to-speech (TTS) system. While Festival supports multiple languages, there may be a limited selection of pre-built voices available for certain languages and dialects. Especially creating new voices can be a time-consuming process. [https://www.sciencepubco.com/index.php/ijet/article/view/12933] 
 
Since the 2000s, [[Advancements in Neural Network-Based TTS (2000s)|Advancements in Neural Network-Based TTS]] have made great contributions to effectively collecting speech. Since 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.   


== LLM Reviews ==
== LLM Reviews ==

Revision as of 13:09, 11 October 2023

Introduction

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aenean odio turpis, sodales a urna a, rutrum elementum libero. Phasellus pellentesque dapibus odio quis sodales. Duis a dignissim odio. Maecenas lobortis sapien purus, eu laoreet magna varius et. Vestibulum euismod pharetra lorem, id dignissim lorem porta ac. Proin euismod vehicula eleifend. Nunc hendrerit efficitur dolor vitae sodales. Fusce sit amet quam laoreet, aliquet diam at, sollicitudin turpis. Vestibulum eget posuere nibh, sit amet sodales purus. Curabitur vel vulputate eros. Vivamus pellentesque libero non magna iaculis tempor. Aenean sodales velit ut nulla aliquam, ut varius orci blandit. Aliquam semper neque ac rutrum porta.

Historical Context

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aenean odio turpis, sodales a urna a, rutrum elementum libero. Phasellus pellentesque dapibus odio quis sodales. Duis a dignissim odio. Maecenas lobortis sapien purus, eu laoreet magna varius et. Vestibulum euismod pharetra lorem, id dignissim lorem porta ac. Proin euismod vehicula eleifend. Nunc hendrerit efficitur dolor vitae sodales. Fusce sit amet quam laoreet, aliquet diam at, sollicitudin turpis. Vestibulum eget posuere nibh, sit amet sodales purus. Curabitur vel vulputate eros. Vivamus pellentesque libero non magna iaculis tempor. Aenean sodales velit ut nulla aliquam, ut varius orci blandit. Aliquam semper neque ac rutrum port.

Key Innovations

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Impact

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aenean odio turpis, sodales a urna a, rutrum elementum libero. Phasellus pellentesque dapibus odio quis sodales. Duis a dignissim odio. Maecenas lobortis sapien purus, eu laoreet magna varius et. Vestibulum euismod pharetra lorem, id dignissim lorem porta ac. Proin euismod vehicula eleifend. Nunc hendrerit efficitur dolor vitae sodales. Fusce sit amet quam laoreet, aliquet diam at, sollicitudin turpis. Vestibulum eget posuere nibh, sit amet sodales purus. Curabitur vel vulputate eros. Vivamus pellentesque libero non magna iaculis tempor. Aenean sodales velit ut nulla aliquam, ut varius orci blandit. Aliquam semper neque ac rutrum port

Future research

The Festival Speech Synthesis System is a powerful and versatile open-source text-to-speech (TTS) system. While Festival supports multiple languages, there may be a limited selection of pre-built voices available for certain languages and dialects. Especially creating new voices can be a time-consuming process. [1]

Since the 2000s, Advancements in Neural Network-Based TTS have made great contributions to effectively collecting speech. Since then, the market has become more active with the development of 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.

LLM Reviews

-

Team Members

Introduction - Page

Historical context - Jingxuan

Impact - Weihao

Innovation - Ting

Future research - Soogyeong

LLM reviews- together

References