Multi-modal Speech Separation Method Based on Text and Lip Movement Synchronization

Key Points

• Speech separation achieved via synchronization of text and lip movement effectively reduces background noise.
• Key evidence shows a significant improvement in speech clarity, enhancing communication experiences for users.
• Assessment using multi-modal techniques, combining audio processing and machine learning algorithms, enhances separation accuracy.
• This method may enable better assistive technologies for individuals with hearing difficulties, but further validation is needed.