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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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djangoproject

@djangoproject · Post #206 · 12/06/2016, 03:28 PM

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http://www.enlistq.com/10-python-idioms-to-help-you-improve-your-code/ If you have ever tried to learn a new language (not a programming language), you know that we always think in our native language before we translate it to the new language. This can lead to you forming some sentences that don’t make sense in the new language but are perfectly normal in your native language. For example, in a lot of languages, you ‘open’ an electronic gadget such as fan, AC or cell phone. When you say that in English, it means to literally open the gadget instead of turning it on. The same is true for programming languages. As we pick up new languages, such as #python, we are using our prior knowledge of programming in another language (q, java, c++ etc) and translating that to python. Many times, your code will work but it won’t be ‘#pretty’ or #fast. In python terms, your code won’t be ‘#pythonic’.

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