Aditya1Jhaveri/DoyenTalker
DoyenTalker uses deep learning techniques to generate personalized avatar videos that speak user-provided text in a specified voice. The system utilizes Coqui TTS for text-to-speech generation, along with various face rendering and animation techniques to create a video where the given avatar articulates the speech.
This project helps create personalized avatar videos that speak user-provided text. You input text, an avatar image, and a voice sample, and it generates a video of the avatar speaking your message in that voice. This is ideal for content creators, educators, or marketing professionals looking to produce engaging video content without needing a human presenter.
No commits in the last 6 months.
Use this if you need to quickly generate video content with a consistent, customizable virtual presenter for announcements, tutorials, or marketing messages.
Not ideal if you require highly complex, nuanced facial expressions or full-body avatar interactions beyond head and basic eye movements.
Stars
14
Forks
5
Language
Python
License
—
Category
Last pushed
Sep 20, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/Aditya1Jhaveri/DoyenTalker"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
met4citizen/TalkingHead
Talking Head (3D): A JavaScript class for real-time lip-sync using full-body 3D avatars.
livekit/livekit
End-to-end realtime stack for connecting humans and AI
Henry-23/VideoChat
实时交互数字人，可自定义形象与音色，支持音色克隆，对话延迟低至3s。Real-time voice interactive digital human, customizable...
dmisol/flexatar-virtual-webcam
Personalized Virtual Webcam for WebRTC
zslrmhb/Omniverse-Virtual-Assisstant
Audio2Face Avatar with Riva SDK functionality