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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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@world_music_geek · Post #776 · 10/10/2024, 10:00 AM

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Various Artists — Songs and Dances of Yugoslavia (Folkways Records, 1951) #traditional#accordion#clarinet#fiddle#kaval#tambura#tamburica#violin#gusle#tamburica#Serbia#Bosnia_and_Herzegovina#Montenegro#Croatia#Macedonia#Slovenia#Yugoslavia В 1951 году музыковед Лора Болтон записала традиционную музыку из всех шести республик бывшей Югославии — Сербии (треки 2, 3, 9, 10, 11 и 13), Македонии (треки 7 и 15), Боснии и Герцеговины (треки 1, 4 и 12), Черногории (трек 8), Хорватии (треки 5 и 6) и Словении (трек 14). На её пластинке представлены вокальные композиции, оркестровые произведения и записи балканских народных инструментов, таких как гусле и тамбурица. 🔗Spotify | AppleMusic

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#traditional #accordion #clarinet #fiddle #kaval #tambura #tamburica #violin #gusle #serbia #bosnia_and_herzegovina #montenegro #croatia #macedonia #slovenia #yugoslavia