Introduction.

In recent years, advances in AI technology have dramatically improved the accuracy of speech synthesis. Automatic narration generation by AI is being used in a variety of fields, including movies, animation, podcasts, and video production, creating new possibilities for expression.

Of particular interest is the use of AI to recreate the voices of celebrities. In the film industry, for example, a project is underway to use AI to revive the iconic voice of James Earl Jones, the voice actor for Darth Vader in the Star Wars series. This allows the voices of retired and deceased actors to be faithfully recreated and utilized in new productions. In the field of podcast and video production, AI text-to-speech tools are also making it easier for creators to produce consistent, professional voices.

This article provides a detailed overview of AI speech synthesis technology, its impact on business, examples of its use, future prospects, and challenges to overcome.

HOW AI SPEECH SYNTHESIS TECHNOLOGY WORKS

AI-based speech synthesis is a technology that utilizes deep learning (deep learning) to generate new voices by learning large amounts of voice data. As this technology evolves, it not only faithfully reproduces specific voices, but also enables the generation of custom voices tailored to the user, thereby expanding the scope of voice content production with natural intonation and emotion. The main processes are as follows

Audio data collection: A wide range of audio data is collected, including movies, interviews, and publicly available audio data.

Data analysis and learning: AI analyzes voice features and patterns, and learns vocal rhythm and intonation.

Speech synthesis: Generate new speech based on learned data

Business Impact

Innovation in Content Creation

AI speech synthesis allows for a greater variety of expression in film, animation, and video narration. A particular benefit is the ability to recreate the voices of retired actors and the deceased, enabling new storytelling possibilities.

The ability to weave new stories while utilizing voice data recorded in the past dramatically increases the flexibility of production.

 Reduce costs and production time

Traditionally, recording a narration required arranging a studio, having a narrator appear on stage, and recording and editing. However, by utilizing AI Text-to-Speech, high-quality narration can be generated in a short time, improving production efficiency.

AI can save a lot of time and money, especially when frequently producing new content, such as YouTube and corporate promotional videos.

Creation of new business models

THE DEVELOPMENT OF AI VOICE TECHNOLOGY WILL CREATE NEW BUSINESSES, FURTHER EXPANDING THE VOICE CONTENT MARKET AND CREATING NEW REVENUE OPPORTUNITIES FOR COMPANIES AND CREATORS.

EXAMPLES OF BUSINESS APPLICATIONS FOR AI VOICE GENERATION ARE DETAILED LATER IN THIS REPORT, BUT THE FOLLOWING BUSINESSES HAVE ALREADY BEGUN TO ATTRACT ATTENTION.

OPERATION OF A PLATFORM THAT PROVIDES AI NARRATION

SELLING CONTENT USING AI-GENERATED VOICE

AUTOMATION OF AD PRODUCTION AND CUSTOMER SUPPORT USING AI VOICE

Examples of Business Applications

CoeFont " is attracting attention as one means of utilizing such AI speech synthesis.

Future Outlook

AI SPEECH SYNTHESIS TECHNOLOGY IS EXPECTED TO EVOLVE FURTHER, ALLOWING FOR MORE ADVANCED CUSTOMIZATION AND REAL-TIME SPEECH GENERATION. IN PARTICULAR, IT WILL HAVE A SIGNIFICANT IMPACT IN THE FOLLOWING AREAS

Voice customization for digital characters

In the field of virtual space and video distribution, the era of users having their own personal voice is coming to an end.

VTubers and distributors can utilize AI voice to create the best voice for their unique characters and enhance their branding. The education sector will also be able to provide audio materials customized for each learner, creating a more personalized learning experience.

Improved interactive voice experience

Advances in real-time speech synthesis will enable more realistic dialogue experiences in areas such as gaming, virtual events, and customer support.

In the gaming industry, NPCs will be able to instantly generate voice in response to player actions, enabling dynamic conversations. Furthermore, in virtual events and corporate online conferences, AI will be able to provide real-time translation and multilingual audio, facilitating smooth communication across borders.

Distribution and monetization of audio content

AI VOICE TECHNOLOGY ALSO OPENS UP NEW POSSIBILITIES FOR MUSIC, PODCASTS, AND OTHER AUDIO CONTENT PRODUCTION.

For example, AI is increasingly being used to generate vocals and produce music. This could lead to a future where virtual artists are created and produce hit songs.

In addition, a business model could develop in which AI voices are licensed and sold to companies and creators. Individual creators could also secure a new source of revenue by providing narration and voice content using their own AI voices.

Evolution of Real-Time Speech Synthesis

Currently, AI voice generation requires processing time, but further applications will become possible with the development of real-time speech synthesis technology.

For example, in real-time translation of online meetings, AI can instantly translate the speaker's voice to provide smooth audio for listeners in different languages. Also, in live streaming, it may be possible for the distributor to convert the AI voice in real time and transmit it as a different character.

technical problem

AI SPEECH SYNTHESIS TECHNOLOGY IS EVOLVING RAPIDLY, BUT SEVERAL TECHNICAL AND ETHICAL ISSUES STILL REMAIN. FOR FURTHER DEVELOPMENT IN THE FUTURE, THE FOLLOWING POINTS WILL NEED TO BE IMPROVED

Further improvement of sound quality: Current AI voice has problems in expressing emotions and reproducing detailed nuances. Development of more natural and emotionally rich speech synthesis technology is required.

Ethical and legal issues: Reproduction of celebrity voices by AI involves copyright and portrait rights issues. Guidelines and legal frameworks need to be developed.

Realization of real-time voice generation: This will greatly expand the possibilities for interactive content and interactive entertainment.

summary

AI text-to-speech technology is being used in a wide range of fields, including movies, animation, podcasts, and corporate content. In particular, AI has the potential to greatly improve production efficiency and expand the range of expression by taking on tasks previously performed by human hands, such as automatic generation of narration and reproduction of celebrity voices.

New markets are also expected to emerge, including interactive voice experiences in games and virtual spaces, and the distribution and monetization of new voice content utilizing AI. As real-time speech synthesis continues to evolve, we can expect to see further applications such as live streaming and online conferencing.

On the other hand, there are still issues to be resolved, such as the improvement of emotional expression, ethical issues, and the development of a legal framework. How to address these issues as technology evolves will be an important theme.

AI speech synthesis is one of the key technologies shaping the future of content creation. Discussion and research will continue to be required to maximize its potential while creating richer and more engaging voice experiences.

Citations:.

[1] https://www.explinks.com/blog/ua-ai-vocal-cover-technological-innovation-and-new-creative-possibilities/

[2] https://ce.ofweek.com/2023-11/ART-2022115-8420-30617109.html

[3] https://m.midifan.com/article_body.php?id=7430

[4] https://speechify.com/zh-hans/blog/ai-vocals/

[5] https://speechify.com/zh-hans/blog/ai-voice-cover/

[6] https://rikiyaishizaki.com/ai/ai-voice-cloning-for-content-creation

[7] https://bulletin.bigpodcast.com/a-robot-wrote-this-podcast-summary-and-related-article

[8] https://philipptarohiltl.com/how-to-use-coefont-japanese-ai-voice-generator/

[9] https://www.youtube.com/watch?v=ahI3Sz_UUJw

[10] https://miralab.co.jp/media/coefont/