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Source channel @githubtrending · Post #15421 · Jan 18

#python#audio#deeplearning#minicpm#python#pytorch#speech#speech_synthesis#text_to_speech#tts#tts_model#voice_cloning VoxCPM is a free, open-source TTS tool that turns text into realistic speech without tokens, creating expressive audio that matches context and clones voices perfectly from just 3-10 seconds of sample. Download VoxCPM1.5 (800M params) from Hugging Face, install via pip, and use simple Python or CLI commands for fast synthesis (RTF 0.15 on RTX 4090) or fine-tuning your own voices. You benefit by easily making natural audiobooks, podcasts, clones, or apps with pro-quality sound—saving time and costs on voice work. https://github.com/OpenBMB/VoxCPM

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AI & Law

@ai_and_law · Post #488 · 01/21/2025, 08:04 AM

🇪🇺Deepfakes in the EU AI Regulation: Definition Challenges for Image Processing A critical analysis by Meding and Sorge highlights significant challenges in how the EU AI Regulation defines and regulates deepfakes. The lack of clear distinctions between legitimate image processing and deepfake creation leaves providers and users navigating a gray area, particularly given the complexity of transparency obligations. Key issues include: ✔️ Ambiguities in the definition of deepfakes, with no clear criteria for "standard editing functions" or "non-essential changes." ✔️ Confusion over differentiating changes at the pixel level versus visible alterations. ✔️ Modern tools like Google "Best Take" and Samsung’s editing features blur the boundaries of what qualifies as a deepfake. For companies working with AI-driven image processing, the risks are clear. To ensure compliance and avoid fines, businesses should prioritize implementing transparency mechanisms, such as content labeling, and conduct a detailed review of editing functionalities against regulatory standards. #AIRegulation#Deepfakes#EthicsInAI#DigitalTransparency