Voice-Pro – AI Voice Cloning

Hacker News

Imagine creating a podcast where Mark Zuckerberg interviews Elon Musk – using their actual voices? What sounds like science fiction is now reality. Voice-Pro is an open-source Gradio WebUI that breaks the boundaries of audio manipulation. Powered by cutting-edge Whisper engines, this tool turns voice replication into child's play. Key Features: - Zero-shot Voice Cloning - Voice Changer with 50+ Celebrity Voices - YouTube Audio Downloading - Vocal Isolation - Multi-Language Text-to-Speech (Edge-TTS, F5-TTS) - Multi-Language Translation - Powered by Whisper Engines (Whisper, Faster-Whisper, Whisper-Timestamped) Video Demos: 1. Voice-Pro Usage Tutorial: https://youtu.be/z8g8LMhoh_o 2. Voice Cloning Celebrity Podcast Demo: https://youtu.be/Wfo7vQCD4no 3. Full Demo Playlist: https://www.youtube.com/playlist?list=PLwx5dnMDVC9Y7dAjm9r26... Whether you're a content creator, developer, or audio experiment enthusiast, Voice-Pro provides a user-friendly interface to push the boundaries of audio manipulation. GitHub: https://github.com/abus-aikorea/voice-pro

Visit product View on Hacker NewsNov 28, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, using, open · Missing: mac, agents, macos

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

AppSumoStrong fit for a featured deal · Strong signals: friendly, interface · Missing: plus, platform, intuitive

63%63% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal

61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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