![]() ![]() The MacOS installation command requires Homebrew, and the Windows installation command requires Chocolatey, so make sure to install either tool as needed.įinally, if using Windows, ensure that Developer Mode is enabled. ![]() Sudo apt update & sudo apt install ffmpeg If FFmpeg is not already installed on your machine, use one of the below commands to install it. Whisper also requires FFmpeg, an audio-processing library. Install Python and PyTorch now if you don't have them already. Whisper requires Python3.7+ and a recent version of PyTorch (we used PyTorch 1.12.1 without issue). You can jump down to the Whisper analysis or to a more complicated Whisper advanced usage if you're already up-and-running with Whisper. In this section, we'll learn how to install and use Whisper. In this article, we’ll learn how to install and run Whisper, and we’ll also perform a deep-dive analysis into Whisper's accuracy, inference time, and cost-to-run. Whisper joins other open-source speech-to-text models available today - like Kaldi, Vosk, wav2vec 2.0, and others - and matches state-of-the-art results for speech recognition. ![]() Yesterday, OpenAI released its Whisper speech recognition model. ![]()
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