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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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@emagzinewspars · Post #9460 · 11/03/2025, 03:27 AM

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#The_Bloomberg🇺🇸📕[PDF]⬇️ #November2025 #Monthly_Magazines For learning, for free(dom). @backupofmagazines This issue pits #GavinNewsom against a shifting #USPolitics map while probing the supposed #AIBubble, from frothy valuations to real-world productivity. A climate-forensics read asks whether #CloudSeeding worsened Dubai’s deadly storm—at the nexus of #ExtremeWeather and #ClimateChange. The geo-economics file tracks India’s wobbling investments, China’s expanding #Ports, and weaponized #SupplyChains. For investors, the issue weighs #ETFs, #401k tweaks, #BigTech concentration risk, and hedges in #Europe and #Gold. Lifestyle detours sample Utah powder and the dive-bar revival. It’s a brisk tour of power, money, and culture in a volatile world. #Markets#Investing#Energy#MiddleEast#Africa#Healthcare#Birkenstocks