Select the more realistic video from pairs
Audio Conditioned LipSync with Latent Diffusion Models
Generate a talking face video from a still image and audio
Create a video with text highlighting as audio plays
Enhance and modify videos with various settings
Edit videos by resizing and adding audio/music
https://huggingface.co/spaces/VIDraft/mouse-webgen
Generate videos with lip-sync from given audio and video
Enhance video using convolution filters
Generate audio from text using a custom voice
Enhance video quality by uploading and processing
F5-TTS & E2-TTS: Zero-Shot Voice Cloning (Unofficial Demo)
Convert text to high-fidelity speech
The Sound Generation User Study is an AI-powered tool designed to help users evaluate and select the most realistic sound-generated video from pairs of videos. This study focuses on comparing different sound generation models to determine their effectiveness in creating immersive audio-visual experiences.
• Realistic Sound Generation: The tool allows users to compare videos with AI-generated sound to identify the most realistic one.
• Side-by-Side Comparison: Users can view two videos simultaneously, making it easier to evaluate differences in sound quality.
• User-Friendly Interface: The interface is designed to be intuitive, enabling seamless interaction and feedback submission.
• AI Model Evaluation: The study helps assess the performance of various sound generation models, providing insights into their strengths and weaknesses.
• Customizable Scenarios: Users can test videos in different contexts or scenarios to evaluate sound generation in varied environments.
What is the purpose of the Sound Generation User Study?
The purpose is to evaluate and compare the effectiveness of different sound generation models in creating realistic audio for videos.
How do I participate in the study?
To participate, simply access the tool, view the video pairs, and select the one with the most realistic sound. Your feedback will be recorded automatically.
Can I use the tool for my own projects?
No, the Sound Generation User Study is primarily designed for evaluating AI models. For personal projects, you may need to use standalone sound generation tools.