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소스 채널 @phpdevelopersuz · Post #2264 · 1월 15일

#Respect_Subyektiv #Nocomment #Ogoxlik Oqko'ngil xalqimizning soddaligidan foydalanib qolishga urinayotgan, va afsuski ko'pincha buning uddasidan ham chiqayotgan soxta "click hodimlari" va OLX sotuvchilari haqida haqiqatlar fosh qilindi. Ushbu videoni ko'ring, peshona teringiz mahsuli bo'lgan haqqingizni birovga oldirib qo'yish xavfidan ogoh bo'lib qo'ying. Sodda xalqimiz bunday o'g'rilillarga chuv tushmasliklari uchun o'z yaqinlaringizni ogoh qiling va ushbu videoni ulashing. P/s. Oxirgacham diqatlik bilan ko'ring. MAMONT bo'lishdan saqlaning. @infoTUIT

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Interesting Planet 🌍

@interesting_planet_facts · Post #1053 · 2025. 11. 19. PM 06:11

🌎 In 1977, the Soviet Venera 14 probe recorded mysterious low-frequency “thunder”-like sounds on Venus. Scientists now attribute these to seismic activity or wind interacting with the planet’s dense atmosphere. Venus’s surface winds move slowly, but thick air carries sound much farther than on Earth. ✨ #Venus⚡#sounds⚡#space 👉subscribe Interesting Planet 👉more Channels ​

djangoproject

@djangoproject · Post #255 · 2017. 02. 02. PM 06:57

https://github.com/tyiannak/pyAudioAnalysis #pyAudioAnalysis is a Python library covering a wide range of audio analysis tasks. Through pyAudioAnalysis you can: Extract #audio features and representations (e.g. mfccs, spectrogram, chromagram) Classify unknown #sounds Train, parameter tune and evaluate classifiers of audio segments Detect audio events and exclude silence periods from long recordings Perform supervised segmentation (joint segmentation - classification) Perform unsupervised segmentation (e.g. speaker diarization) Extract audio thumbnails Train and use audio regression models (example application: emotion recognition) Apply dimensionality reduction to visualize audio data and content similarities