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소스 채널 @phpdevelopersuz · Post #3316 · 8월 21일

🚀 API Shop - API Xizmatlaringiz Uchun Eng Yaxshi Tanlov! 🌟 📲 Bizda Mavjud Xizmatlar: 1️⃣ Ijtimoiy Tarmoqlardan Media Yuklab Olish: Instagram, TikTok, Facebook, Twitter va boshqa ijtimoiy tarmoqlardan media va rasm yuklab oling. 📸🎥 2️⃣🎙 TTS (Text-to-Speech) API: Matnni ovozga aylantiring, har qanday til va ovoz variantlari bilan. Oson va tez! 🗣💬 3️⃣🎵 Shazam API: Musiqa tanish, qo'shiqlarni aniqlash va har qanday audio faylni tanib olish imkoniyati. 🎶🔍 4️⃣📁 Photolab API: Tasvirlaringizni ajoyib effektlar bilan bezang! Eng yaxshi tasvir tahrirlash API xizmati sizni kutmoqda. 🌟📸 🤖 Barcha xizmatlarimizni Telegram botimiz orqali ham ko'rishingiz mumkin:@Apishopbot 🔗 Bizning xizmatlarimizdan foydalaning va imkoniyatlardan maksimal darajada foydalaning! 🚀 🌐 Bot:@Apishopbot 📩 Bog'lanish:@bizbotsupport #API#Xizmatlar#TTS#Shazam#Fotomuhandislik#Innovatsiya

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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