Boao Digital Human Solution

Overview

This solution is based on AI digital human technology, aiming to provide a comprehensive development framework for creating highly realistic and powerful digital humans suitable for pre-recorded video content generation. The solution integrates core technologies such as customized modeling, content generation, speech synthesis, video generation, and post-production, ensuring that the digital human has a vivid appearance, natural speech, and dynamic interaction capabilities. It can be widely applied in virtual customer service, digital marketing, education and training, and other fields.

Solution Components

The following are the core modules of AI digital human development and their technical implementations:

Customized Modeling
- 3D Modeling: Design and create a 3D model of the digital human based on specific requirements (such as appearance, clothing, etc.), ensuring it aligns with the usage scenario or brand image.
- Facial Capture: Use facial capture technology to record human facial expressions (such as smiling, anger, surprise, etc.) and generate a rich library of expression animations.
- Motion Capture: Use motion capture devices to record body movements such as walking, running, and jumping, building a library of motion animations.
- Animation Generation: Combine the captured facial and body data with the 3D model, and generate realistic animations through manual animation production or motion capture technology.
Content Generation
- Script Development: Write fixed scripts (such as narration for promotional videos) or design dynamic content generation systems based on application requirements.
- Natural Language Generation (NLG): Combine NLG technology and large models to generate dynamic text content, ensuring the digital human can output adaptive dialogues or narratives based on different scenarios or input parameters.
Speech Synthesis
- Text-to-Speech (TTS): Use TTS technology to convert text into natural and fluent human speech. Existing software platforms (such as Google TTS, Amazon Polly) can be used, or customized training can be applied to improve speech quality.
- Voice Customization: Train the TTS system to generate unique voice styles (such as pitch, speed, emotional expression) based on the digital human's role requirements, enhancing the personalized experience.
Video Generation
- Animation Integration: Combine the actions and expressions from the animation library with the script or dynamic content to generate video animation sequences.
- Lip Syncing: Integrate speech technology to ensure the digital human's lip movements are synchronized with the speech content, enhancing realism.
- Rendering: Render the animation into high-quality video, presenting a vivid and lifelike digital human with detailed movements and expressions.
Video Post-Production
- Audio Enhancement: Add background music, environmental sound effects, or other audio elements to enhance the video's immersion.
- Special Effects Processing: Add visual effects (such as lighting effects, particle animations) as needed to enhance visual appeal.
- Atmosphere Creation: Create an overall atmosphere that matches the content theme through editing, lighting adjustments, and background design.

Workflow

The following is a step-by-step process from planning to output, ensuring systematic and efficient AI digital human development:

Planning Phase
- Define the digital human's application goals (such as brand promotion, customer service) and target audience.
- Determine the content format: static scripts (such as fixed narration videos) or dynamic generation (such as personalized content based on data).
Modeling and Capture
- Design and complete the 3D model of the digital human.
- Use facial and motion capture technology to record expression and motion data, building an animation library.
Content Preparation
- For static content, write detailed scripts and review them.
- For dynamic content, configure the NLG system and input relevant data or parameters to generate text.
Speech Generation
- Use the TTS system to convert scripts or dynamic text into speech, ensuring natural sound quality and alignment with the character's settings.
Animation and Rendering
- Integrate the actions and expressions from the animation library based on the speech and content to generate animation sequences.
- Complete lip syncing and render the video material.
Post-Production
- Edit the video, add sound effects, special effects, and background elements.
- Adjust lighting and atmosphere, and finally output high-quality video.

Key Considerations

To ensure the development quality and practicality of AI digital humans, the following factors need special attention:

Realism: Ensure the digital human presents a realistic appearance and behavior through high-quality modeling, animation, and speech synthesis.
Adaptability: The dynamic content generation system needs to be flexible, capable of adjusting outputs based on different requirements.
Technology Integration: Seamlessly connect NLG, TTS, and animation rendering technologies to build an efficient production process.
Customization: Adjust the digital human's appearance, voice, and behavior style based on usage scenarios (such as corporate branding, entertainment content).

This AI digital human solution provides a systematic technical solution through five modules: customized modeling, content generation, speech synthesis, video generation, and post-production. The digital human can not only present vivid and realistic animation effects but also adapt to diverse needs through dynamic content and natural speech. Whether used for pre-recorded videos or future expansion into real-time interactive scenarios, this solution provides a clear technical path and implementation guidance for development teams.