Automated Lip Syncing for Chatbots and Virtual Assistants: Enhancing Audio-Visual Interaction for Seamless Communication

This paper explores the integration of Wav2Lip lip-sync technology into virtual assistants and chatbots, enhancing their interactivity by turning static images into video with synchronized lip movements. By combining text-to-speech (TTS) and video synthesis, the system aims to create more engaging and human-like digital assistants. Current chatbots and virtual assistants, such as those found on websites and devices like Google Assistant and Alexa, lack personalized visual elements, limiting user connection and engagement. Our proposed solution utilizes the Bark AI library to generate personalized and vivid speech from text, converts images to video using MoviePy, and ensures accurate lip-sync with Wav2Lip technology. The final output is a video where the assistant's lips move in sync with the spoken audio, providing a more realistic and personalized user experience.

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Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icuis64676.2024.10866375
Citations
1
Primary Topic
Speech and dialogue systems
Type
article
Field-Weighted Citation Impact
0.35
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article

Automated Lip Syncing for Chatbots and Virtual Assistants: Enhancing Audio-Visual Interaction for Seamless Communication

Nandini M. Chaudhari, Dweepna Garg, Parth Goel, Rishi Shah et al.
1 citations
Speech and dialogue systems
0.35
article

Automated Lip Syncing for Chatbots and Virtual Assistants: Enhancing Audio-Visual Interaction for Seamless Communication

Nandini M. Chaudhari, Dweepna Garg, Parth Goel, Rishi Shah, Tanvi Sheikh
article en
1 citations

Abstract

This paper explores the integration of Wav2Lip lip-sync technology into virtual assistants and chatbots, enhancing their interactivity by turning static images into video with synchronized lip movements. By combining text-to-speech (TTS) and video synthesis, the system aims to create more engaging and human-like digital assistants. Current chatbots and virtual assistants, such as those found on websites and devices like Google Assistant and Alexa, lack personalized visual elements, limiting user connection and engagement. Our proposed solution utilizes the Bark AI library to generate personalized and vivid speech from text, converts images to video using MoviePy, and ensures accurate lip-sync with Wav2Lip technology. The final output is a video where the assistant's lips move in sync with the spoken audio, providing a more realistic and personalized user experience.

Charotar University of Science and Technology (IN)
Openalex Percentile: Top 29%
Speech and dialogue systems
0.35
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