With the launch of large-scale models, many extremely interesting and exciting AI gadgets have gradually come into public view. These intriguing AI products have made the general public eager to give them a try. Recently, a video synthesized by AI technology featuring Taylor Swift who is speaking Chinese in the video has garnered over a million plays.
The synthesis of this video not only achieves clear semantics and similar timbre but also ensures accurate lip synchronization. There are also numerous step-by-step tutorials on video websites like YouTube that teach you how to create seamless transition videos.
HeyGen
During the production process, a common tool named Heygen is used. Heygen is an AIGC (Artificial Intelligence Generated Content) product, whose core function is to help users create videos with AI-generated virtual characters. Whether it’s the background or the character image for the narration, the HeyGen system has them built-in. Moreover, regardless of whether users opt for the free version or the paid one, there are no copyright issues involved, and the operation is very user-friendly. Heygen supports over 40 different languages and accents, ensuring that your virtual character perfectly syncs with the text content. Additionally, it can incorporate various scenes, add background music, download high-definition videos, or let you share the video creation with colleagues or clients. Heygen is particularly suitable for creating AI virtual digital human videos for corporate training, marketing, e-learning, and other fields.
The main features of Heygen include:
• Text to Video: Turn text into professional video content in just a few minutes, directly in the browser.
• Audio Upload: Record and upload a real voice to create a personalized virtual image.
• Multiple Language Options: Over 40 popular languages and more than 300 voice options are available.
• Multi-scene Video: Merge multiple video scenes into one coherent video, with a creation process as simple as making an end-to-end video or PowerPoint presentation.
• 1080P Video Download: Download high-definition 1080P videos with unlimited downloads.
• Creative Style Selection: Choose from a variety of fonts, images, or shapes to enhance the creative expression of the video.
• Background Music: Select or upload personal favorite music to add pleasant background music to the video.
The process of creating the aforementioned videos involves multiple steps, including translation, voice synthesis (using VITS technology), and lip synchronization (utilizing wav2lip technology). Although we are not certain how the original author specifically operated, after research, it has been found that such videos can be produced via the Heygen platform. In fact, the capabilities of Heygen far exceed the content shown in the videos. It is a comprehensive and highly effective AI virtual human application that is not limited to just two core technologies, AI Avatar (virtual human image) and Voice Clone (voice cloning). Heygen also supports a variety of features including one-click outfit change, virtual anchor, text-to-speech conversion, and more, making it a multi-functional AI platform.
The AI-generated digital person by HeyGen founder Joshua Xu
Technologies involved in HeyGen
The seamless transition between Chinese and English in HeyGen doesn’t rely solely on a single AI technology but is rather a comprehensive application of various advanced technologies including speech synthesis, emotion recognition, and the creation of 3D digital humans.
In terms of speech synthesis, although this technology is not new, creating a voice that is both natural, fluent, and emotionally rich remains a significant challenge
As for 3D digital human modeling, it is a hot topic in the AI field today. The challenges in the video example of Taylor Swift include not only facial 3D modeling but also the precise capture of lip movements and micro-expressions.
Emotion recognition is the truly impressive part of these technologies. Although speech synthesis and 3D modeling are technologically mature, perfectly matching synthesized speech with the character’s lip movements and expressions requires extremely sophisticated and complex algorithms. This is necessary to simulate real human behavior and avoid creating a sense of discomfort.
Each technology represents a high level of achievement in its own field. Combining these technologies to achieve such natural and harmonious results is indeed challenging. This video alone is sufficient to demonstrate that HeyGen’s capabilities in speech synthesis, lip synchronization, and micro-expression capture are quite mature. It is the combined use of these technologies that has created such an astonishing effect.
Datasets involved with the HeyGen model
Training AI models like HeyGen typically require extensive and diverse datasets. HeyGen is a composite AI system capable of synthesizing videos, and voices, and creating 3D digital humans. Below are some of the types of datasets that may be used to train such a model:
1. Voice Datasets: These include voice recordings of different genders, ages, accents, and languages, used to train the model for voice synthesis and voice cloning.
2. Emotional Datasets: These contain data of voices or facial expressions with clear emotional labels, enabling the model to learn and recognize different emotions, and to simulate them in the generated content.
3. Video Datasets: A vast collection of video material can help AI learn how to process and generate images, as well as how to embed 3D models into videos.
4. 3D Facial Modeling Datasets: These datasets typically contain facial data, and may include dynamic data of facial expressions.
5. Lip Sync Datasets: Video or image material showing the specific shapes of human lips during different pronunciations, used to train the model for accurate lip synchronization.
6. Multimodal Datasets: Datasets that combine text, audio, and video information, used to improve the model’s accuracy and naturalness in processing and integrating multiple types of input.
7. Text Datasets: Used for training text-to-speech conversions, and may include a wide range of text content such as books, news reports, and conversations.
Training such AI models also requires a substantial amount of labeling work, such as annotating emotions, lip shapes, etc., as well as powerful computing capabilities for large-scale model training. Moreover, to comply with data protection regulations, it is equally important to acquire these data legally and ethically.
If you are seeking to comprehensively enhance the performance of artificial intelligence models, DataOceanAI’s datasets become an indispensable partner for you.
Our datasets cover a variety of modalities including speech, image, and text, which are particularly suitable for advanced AI projects involving speech recognition, computer vision, and natural language processing. We pledge that the high quality, diversity, and practicality of DataOceanAI’s datasets will be a powerful aid in building your next-generation AI applications. Whether your goal is to improve existing systems or to explore new technological fields, DataOceanAI’s datasets will provide a solid data foundation for your research and development work.
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