Festival Speech Synthesis System (1997): Difference between revisions
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== Key Innovations == | == Key Innovations == | ||
Based on the historical context that mentioned above, we have acquired a basic understanding of the early speech synthesis systems as well as its limitations. Over the years, there has been a transition from a String Based Processing System to Systems based on Multi-level Data Structures. This has revealed a comprehensive picture about how Festival stood out from other contemporary speech synthesis systems. | |||
==== '''Flexibility of Multiple Structure''' ==== | |||
While the Delta System, which was based on the multi-level data structures (MLDS), had gain much reputation in this domain, its short comings were also noteworthy. The linear structure applied by the multi-layered systems can pose constrains on data management, as well as restrict the flexibility of data representation and ability to adapt to complex linguistic relationships and structures. <ref>Hertz, S. R. (1990). The Delta programming language: an integrated approach to nonlinear phonology, phonetics, and speech synthesis. ''Papers in laboratory phonology'', ''1'', 215-257.</ref> | |||
In contrast, Festival diverges significantly from MLDS-based systems in several aspects, which also emerged as key innovations for it. First of all, Festival liberates linguistic items form the constraints of linear lists, making the utilization of various graph structures happen, like trees, lists and other linguistic structure. This intersecting relations also contributes to saving on redundancy. | |||
Furthermore, items within Festival can exist within multiple structures, leading to more efficient and adaptable representations. Significantly, Festival allows for the incorporation of elements in various structures, fostering the creation of more effective and flexible representations. This innovative strategy empowers Festival to overcome the constraints imposed by the linear framework of traditional MLDS-based systems, fundamentally transforming the field of linguistic data processing.<ref>Black, A. W. (1999). " The Festival Speech synthesis System," System documentation, Edition 1.4, for Festival Version 1.4. 0. ''<nowiki>http://www</nowiki>. cstr. ed. ac. uk/projects/festival/manual/festival_toc. html''.</ref> | |||
==== '''Speed and Performance''' ==== | |||
In addition to its multi-structural flexibility, Festival also functions as a run-time system, necessitating a significant portion of its code to be composed in a compiled low-level language like C or C++. This strategic incorporation of low-level languages enables Festival to achieve the desired speed, a critical aspect in its operation as both a research platform and a run-time system.<ref>Taylor, P., Black, A. W., & Caley, R. (1998). The architecture of the Festival speech synthesis system. In ''The third ESCA/COCOSDA workshop (ETRW) on speech synthesis''.</ref> Festival's distinctive feature lies in its integration of a run-time system with an interpreter, allowing immediate adjustments and efficient comparisons of various algorithms during experiments. Unlike fully compiled systems that limit real-time adaptations, Festival's interpreter empowers researchers to explore a wide range of algorithmic options dynamically, thus enhancing the system's adaptability and effectiveness in linguistic data processing. | |||
==== '''Multilingual compatibility''' ==== | |||
Another innovation point of this system lies in its multilingual compatibility'''.''' Festival supports various languages and can also be adapted to different linguistic contexts. Festival comes with support for English (British and American accent), Welsh and Spanish. Voice packages are available for various other languages, including Castellano, Czech, Finnish, Hindi, Italian, Marathi, Polish, Russian, and Telugu.<ref>Black, A., Taylor, P., Caley, R., Clark, R., Richmond, K., King, S., ... & Zen, H. (2001). The festival speech synthesis system, version 1.4. 2. ''Unpublished document available via <nowiki>http://www</nowiki>. cstr. ed. ac. uk/projects/festival. html'', ''6'', 365-377.</ref> | |||
== Impact == | == Impact == | ||
Revision as of 23:35, 13 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
Based on the historical context that mentioned above, we have acquired a basic understanding of the early speech synthesis systems as well as its limitations. Over the years, there has been a transition from a String Based Processing System to Systems based on Multi-level Data Structures. This has revealed a comprehensive picture about how Festival stood out from other contemporary speech synthesis systems.
Flexibility of Multiple Structure
While the Delta System, which was based on the multi-level data structures (MLDS), had gain much reputation in this domain, its short comings were also noteworthy. The linear structure applied by the multi-layered systems can pose constrains on data management, as well as restrict the flexibility of data representation and ability to adapt to complex linguistic relationships and structures. [1]
In contrast, Festival diverges significantly from MLDS-based systems in several aspects, which also emerged as key innovations for it. First of all, Festival liberates linguistic items form the constraints of linear lists, making the utilization of various graph structures happen, like trees, lists and other linguistic structure. This intersecting relations also contributes to saving on redundancy.
Furthermore, items within Festival can exist within multiple structures, leading to more efficient and adaptable representations. Significantly, Festival allows for the incorporation of elements in various structures, fostering the creation of more effective and flexible representations. This innovative strategy empowers Festival to overcome the constraints imposed by the linear framework of traditional MLDS-based systems, fundamentally transforming the field of linguistic data processing.[2]
Speed and Performance
In addition to its multi-structural flexibility, Festival also functions as a run-time system, necessitating a significant portion of its code to be composed in a compiled low-level language like C or C++. This strategic incorporation of low-level languages enables Festival to achieve the desired speed, a critical aspect in its operation as both a research platform and a run-time system.[3] Festival's distinctive feature lies in its integration of a run-time system with an interpreter, allowing immediate adjustments and efficient comparisons of various algorithms during experiments. Unlike fully compiled systems that limit real-time adaptations, Festival's interpreter empowers researchers to explore a wide range of algorithmic options dynamically, thus enhancing the system's adaptability and effectiveness in linguistic data processing.
Multilingual compatibility
Another innovation point of this system lies in its multilingual compatibility. Festival supports various languages and can also be adapted to different linguistic contexts. Festival comes with support for English (British and American accent), Welsh and Spanish. Voice packages are available for various other languages, including Castellano, Czech, Finnish, Hindi, Italian, Marathi, Polish, Russian, and Telugu.[4]
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
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. [1]
Since the 2000s, the development of, Advancements in Neural Network-Based TTS has contributed greatly to reducing the time it takes to synthesize speech, increasing accuracy, and effective speech collection. (one or two sentence will be added here)
Since the 2010s 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.
In summary, the festival speech synthesis system in the context of voice synthesis technology is underscored by collecting large data set in specific words.
LLM Reviews
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Team Members
Introduction - Page
Historical context - Jingxuan
Impact - Weihao
Innovation - Ting
Future research - Soogyeong
LLM reviews- together
References
- ↑ Hertz, S. R. (1990). The Delta programming language: an integrated approach to nonlinear phonology, phonetics, and speech synthesis. Papers in laboratory phonology, 1, 215-257.
- ↑ Black, A. W. (1999). " The Festival Speech synthesis System," System documentation, Edition 1.4, for Festival Version 1.4. 0. http://www. cstr. ed. ac. uk/projects/festival/manual/festival_toc. html.
- ↑ Taylor, P., Black, A. W., & Caley, R. (1998). The architecture of the Festival speech synthesis system. In The third ESCA/COCOSDA workshop (ETRW) on speech synthesis.
- ↑ Black, A., Taylor, P., Caley, R., Clark, R., Richmond, K., King, S., ... & Zen, H. (2001). The festival speech synthesis system, version 1.4. 2. Unpublished document available via http://www. cstr. ed. ac. uk/projects/festival. html, 6, 365-377.