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Source channel @githubtrending · Post #14684 · May 8

#python#apple_silicon#audio_processing#mlx#multimodal#speech_recognition#speech_synthesis#speech_to_text#text_to_speech#transformers MLX-Audio is a powerful tool for converting text into speech and speech into new audio. It works well on Apple Silicon devices, like M-series chips, making it fast and efficient. You can choose from different languages and voices, and even adjust how fast the speech is. It also includes a web interface where you can see audio in 3D and play your own files. This tool is helpful for making audiobooks, interactive media, and personal projects because it's easy to use and provides high-quality audio quickly. https://github.com/Blaizzy/mlx-audio

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Machinelearning

@ai_machinelearning_big_data · Post #9201 · 12/08/2025, 08:20 AM

🤖 Роботы GITAI самостоятельно и собрали 5-метровую конструкцию - фундамент будущих внеземных модулей. Это пример того, как связка ИИ + робототехника начинает давать тот самый технологический скачок, на который долго рассчитывали: автономные системы, способные строить инфраструктуру без участия человека, открывают путь к базам на Луне, Марсе и орбите. @ai_machinelearning_big_data #robotics#AI#automation#spacetech#GITAI