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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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DataSci NU

@nu_datasci · Post #3 · 02/18/2023, 01:21 PM

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Attention all Data Science enthusiasts! We're thrilled to announce that our club is kicking off a series of exciting events that cover a wide range of topics in data analytics, computer vision, natural language processing, and machine learning in robotics. First up, we have a speech and Q&A session with Professor Ernazar Abdikamalov, a renowned researcher who uses machine learning in physics. Following that, we'll hear from experts in the industry, including representatives from Kolesa Group and Jusan Group. And to wrap up the series, we're hosting a sponsored hackathon on data analytics! This is a fantastic opportunity to expand your knowledge, network with industry professionals, and put your skills to the test. Stay tuned for more information on the dates and details of each event. Link to our Instagram We can't wait to see you there! #DataSci#DataAnalytics#ComputerVision#NLP#MLinRobotics💻🔬🤖

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