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Source channel @githubtrending · Post #15385 · Jan 2

#python#deep_learning#inference#openai#quantization#speech_recognition#speech_to_text#transformer#whisper Faster-Whisper is a fast version of OpenAI's Whisper that transcribes audio up to 4x quicker with the same accuracy, using less memory on CPU or GPU—benchmarks show it beats original Whisper (e.g., 1m03s vs 2m23s for 13-min audio on GPU). Install via `pip install faster-whisper`, no FFmpeg needed, and use simple Python code like `WhisperModel("large-v3").transcribe("audio.mp3")` for segments with timestamps. You benefit by getting quick, efficient speech-to-text for real-time apps, saving time and resources on long files or batches. https://github.com/SYSTRAN/faster-whisper

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AI & Law

@ai_and_law · Post #178 · 12/01/2023, 08:04 AM

US: FTC Empowered in AI Oversight Move Hello, everybody! In a unanimous vote, the US Federal Trade Commission (FTC) has granted itself authority to demand documents in investigations of products and services claiming AI use. The decision allows the issuance of civil investigative demands (CIDs) during probes into corporate AI activities, streamlining the investigative process. This power, effective for a decade, aims to expedite investigations amid the growing role of AI in trade regulation cases. The FTC highlights the potential for AI to be misused for fraud, deception, privacy infringements, and unfair practices, necessitating robust oversight. As part of its heightened interest in AI, the FTC has initiated the "FTC Voice Cloning Challenge" to combat voice deepfakes. With a $25,000 prize for winning ideas, the challenge seeks multidisciplinary approaches to detect AI-generated audio. This move reflects the FTC's commitment to addressing the abuse of AI algorithms that mimic voices for fraudulent activities, such as unauthorized access to sensitive information or extortion scams. The challenge aims to encourage innovation while warning of potential regulatory actions if effective solutions don't emerge. #AIandLaw#FTC#AIOversight#VoiceCloningChallenge