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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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Tibicen

@world_music_geek · Post #949 · 05/14/2025, 10:01 AM

Various Artists — Armenia: Mekhitarist Community of Venice (Anthologie Des Musiques Traditionnelles, 1975) #traditional#christian#choral#armenian#Italy#Armenia Armenia: Mekhitarist Community of Venice — запись литургических песнопений, исполненных монахами ордена мхитаристов на острове Сан-Ладзаро в Венецианской лагуне. Орден был основан в начале XVIII века армянским католическим священником Мхитаром Себастаци и объединил монахов, занимавшихся богословской работой, переводами и издательской деятельностью на армянском языке. Мхитаристы принадлежат к Армянской католической церкви — восточной католической конфессии, сохраняющей армянский обряд, язык и литургическую практику, но находящейся в юрисдикции Римско-католической церкви. Песнопения, вошедшие в запись, используются в службах Великого поста и Пасхи. По наблюдению этномузыковеда Алена Даниэла, монастырь на Сан-Ладзаро сохраняет форму церковного пения, наиболее близкую к исторической практике армянской традиции. 🔗Spotify | AppleMusic | YouTube

Addis Standard

@addisstandardeng · Post #21885 · 03/30/2026, 02:39 PM

News: Study finds #Armenian alphabet structurally closer to ancient #Ethiopic Ge’ez, revealing links between African and Caucasus scripts A new study has found that the Armenian alphabet may be structurally closer to the ancient Ethiopic #Ge'ez than previously understood, shedding fresh light on possible historical connections between cultures in #Africa and the #Caucasus. The research, conducted by scientists at #San_Diego State University and reported by Phys.org, used artificial intelligence to examine similarities among ancient writing systems. The findings were published in the journal Digital Scholarship in the Humanities. Using a dataset of more than 28,000 Ethiopic characters, researchers trained a computer model to recognize structural features such as curves, straight lines, and angles. Read more: https://addisstandard.com/?p=56180