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.
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
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.
Recommend Datasets
King-AV-028 Lip-movement dataset
https://en.dataoceanai.com/dataset/c61-6344.htm
A video database of 208 people’s lip movements, including 2,080 video files and 4,160 audio files. The models are mainly adults and children, including 20 elderly people over 60 years old. The speaking state and content of models under different light and in different environments are collected, which can be used for facial recognition, target detection, target tracking and other tasks.
King-AV-018 Lip speech video was collected for 250 people
https://en.dataoceanai.com/dataset/c61-6334.htm
This data covers 250 people, with no less than 600 short sentences recorded for each, to be used for facial recognition and target detection tasks. The effective video for a single person lasts for half an hour.
King-TTS-262 Dutch Speech Synthesis Dataset
https://en.dataoceanai.com/dataset/c59-9587.htm
This is a high-quality audio dataset ideal for speech synthesis applications.recorded in 48kHz, 16bit, PCM wav format with a single channel. The audio has been carefully processed to ensure a clean and clear sound, with a background noise level of <-60dB and a signal-to-noise ratio greater than 35dB. Additionally, the reverberation time (RT60) is less than 150ms, ensuring optimal conditions for speech synthesis. This dataset is perfect for a wide range of applications, including text-to-speech systems, voice assistants, and more.
King-TTS-066 British English Multi-speaker Speech Synthesis Corpus
https://en.dataoceanai.com/dataset/c59-9589.htm
This is a 1-channel British English multi-speaker TTS (Text To Speech) data , with a total size of about 6.50 GB. The data contains the recordings and labelings of 9610 sentences (125628 words). CMU phone set is used for script designing and labeling.
