A new paradigm for content creation LETR WORKS AI dubbing technology
Getting started
As of 2024, AI dubbing technologyis at the core of media localization and content creation. We have reached the stage of replacing traditional dubbing methods, maximizing cost and time efficiency, and even implementing natural voice synthesis and emotional expression. In this article, we will look at the main technical elements and application examples of AI dubbing technology, LETR WORKSWe will also introduce the development status of lip sync technology.
Text-to-speech (text-to-speech, TTS)
Converts text to natural speech TTS technologyis the core of AI dubbing. The latest TTS model has made the following technical advances:
- Deep learning-based speech synthesis: Deep learning models such as Tacotron and FastSpeech have greatly improved sound quality and naturalness.
- Multimodal approach: Creates a voice that matches the context of the content by integrating audio, video, and text data.
- Create custom voice profiles: You can implement specific intonations and pronunciations by learning the user's voice.
Voice Cloning Technology
Voice cloning learns the voice characteristics of the original speaker and creates a voice that feels the same in different languages.
- trait:
- Translate into a new language while maintaining the speaker's voice, intonation, and emotions.
- In particular, the actor's voice is used to maintain a sense of immersion even in the multi-language version.
- Technical core:
- Use of generative models such as Generative Adversarial Networks (GANs).
- Few-shot learning technology that can be learned without hundreds of hours of data.
Automated lip-syncing (Automated Lip-syncing)
Lip sync technology that matches the speaker's mouth shape and voice is an important factor in determining the viewer's sense of immersion.
- Technology trends:
- AI that has learned the voice-image data set dynamically adjusts the shape of the mouth in the image.
- As of 2024 Deep Neural NetworksUse to achieve natural lip sync in seconds.
- Real-time lip sync technology is also being commercialized rapidly.
- LETR WORKS development status:
Twig Farm's LETR WORKSWe are developing an automatic lip sync function along with existing advanced speech synthesis technology.- targets: Maximize the sense of immersion by accurately synchronizing the voice and voice of the speaker of the video content.
- Technical approach: Combining multimodal AI and image processing technology to improve lip sync accuracy.
- Application examples: Simplify multi-language lip-sync in a global content creation environment and provide high-quality results in a short time.
Emotion-driven speech synthesis (Emotion-driven TTS)
It is a technology that goes beyond simply reading text and creates a voice that reflects the speaker's emotions.
- applications:
- It conveys rich character emotions in movies and animations.
- Customer service AI provides an empathetic voice.
- Technical elements:
- Emotion recognition technology: analysis of emotional elements within text.
- Emotional expression model: Adjusting the tone and speed of voice to convey a specific emotion.
Generative AI and multimodal AI
The latest trend in AI dubbing is integrated processing of text, voice, and video data through multimodal AI technology.
- Multimodal learning:
- Learn the correlation between text, voice, and video.
- Generate optimized dubbing results based on the context of the content.
- Application examples: LETR WORKS automatically recognizes proper names to guarantee translation quality during the localization process, and incorporates this function into dubbing technology.
Twig Farm LETR WORKS AI dubbing technology use case
Twig Farm's LETR WORKSIt takes the lead in utilizing AI dubbing technology and provides the following differentiations:
- CloneVoice AI
- Create multilingual content by replicating users' voices.
- Helping dramas and movies enter the global market.
- Automatic lip sync development
- Shorten work time with a new dubbing solution that includes lip-sync.
- Apply processes to improve synchronization accuracy by reflecting user feedback.
- Multimodal based dubbing
- Simultaneous processing of subtitle, audio, and video data.
- Use in content where emotional transmission is important.
AI dubbing technology presents a new paradigm for content creation by integrating elements such as text-to-speech conversion, voice replication, lip sync, and emotional expression. particularly LETR WORKSThrough automatic lip-sync and multimodal-based dubbing technology, we are further improving multilingual localization and translation quality, and redefining the user experience.
AI dubbing technology, which is expected to continue to develop, will play an even more important role in various industries in the future.
Editor/Choi Min-woo
