Voice-driven video lip movements and video lip-syncing are two different technologies, but they both involve converting speech into visuals.
- Voice-driven video lip movements (voice lip sync):
Voice-driven video lip movements is an artificial intelligence technology that converts speech into real-time video lip movements. This technology is often implemented using deep learning and natural language processing (NLP).
The specific implementation process is as follows:
- Voice input: First, a voice signal is input into the system, which can be achieved through a microphone or pre-recorded audio.
- Speech recognition: Next, the speech signal is processed through a speech recognition engine, which converts it into text.
- Text processing: The text is then processed and converted into commands, which are used to control the generation of video lip movements.
- Lip movement generation: According to the command, the system generates corresponding video lip movements.
- Video Output: Finally, the video lip movements are synthesized into a real-time video output.
This technology can be used in many different applications, such as video production, virtual reality (VR), game and movie special effects, etc. It allows characters to speak more naturally in videos and provides a more realistic experience for viewers.
- Video lip-syncing (audio lip-syncing):
Video lip-syncing is a technology that converts speech into video lip movements, allowing voice actors to voice video characters without appearing in person.
The specific implementation process is as follows:
- Preparation phase: In the preparation phase, voice actors record speech samples that will be used to train the model. At the same time, the mouth shape and facial expression of the target character were also photographed and used as reference.
- Data preprocessing: Process the recorded data and reference videos to extract features related to mouth shape.
- Train the model: Use the extracted features to train the model. Commonly used algorithms include deep neural networks (DNN) and convolutional neural networks (CNN).
- Test phase: The voice actor voices the voice in the new clip, and the model converts the speech into mouth shapes and facial expressions that match the target character. Finally, the generated lip movements are merged with the original video.
Video lip-syncing technology is widely used in movies, TV series, animations, games and other fields. It can help save production time and costs and improve the quality and fidelity of dubbing effects. In addition, this technology can also be used in areas such as distance education and language translation to help people with language barriers better understand and communicate.
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