{
    "content": {
        "text": "This article provides a comprehensive guide on deploying OpenAI's Whisper model for real-time speech-to-text functionality on NVIDIA Jetson Orin, including hardware requirements and installation steps. The demo works on NVIDIA Jetson Nano and uses the microphone and speaker on the NVIDIA Jetson Nano Developer Kit. To install dependencies, simply run the following commands: `git clone https:\/\/github.com\/LJ-Hao\/Deploy-Whisper-on-NVIDIA-Jetson-Orin-for-Real-time-Speech-to-Text.git`, `cd Deploy-Whisper-on-NVIDIA-Jetson-Orin-for-Real-time-Speech-to-Text`, `sudo apt install python3-pyaudio`, `pip3 install -r requirements.txt`, `sudo apt update && sudo apt install ffmpeg`. You can check whether the dependencies are installed successfully by running `python test.py`. To set the microphone rate, use `arecord -D hw:2,0 --dump-hw-params`, and to start the demo, run `python3 main.py`. For more information on Whisper, please see https:\/\/github.com\/openai\/whisper.",
        "summary": "This article provides a comprehensive guide on deploying OpenAI's Whisper model for real-time speech-to-text functionality on NVIDIA Jetson Orin, including hardware requirements and installation steps.",
        "keywords": [
            "Whisper",
            "NVIDIA Jetson",
            "speech-to-text",
            "real-time",
            "OpenAI",
            "Python"
        ],
        "entities": {
            "hardware": [
                "reComputer",
                "reSpeaker",
                "NVIDIA Jetson Nano Developer Kit"
            ],
            "software": [
                "Python",
                "ffmpeg",
                "pyaudio"
            ],
            "commands": [
                "git clone",
                "sudo apt install",
                "pip3 install",
                "python test.py",
                "arecord",
                "python3 main.py"
            ]
        },
        "links": {
            "original": "https:\/\/data.aisenseapi.com\/\/content\/2025\/10\/31\/content_1761935097_ec6ca4515380_posttext.txt"
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            "@context": "https:\/\/schema.org",
            "@type": "TechArticle",
            "title": "Deploy Whisper on NVIDIA Jetson Orin for Real-time Speech-to-Text",
            "technical_specification": {
                "hardware_requirements": [
                    "reComputer (Or other devices based on Jetson)",
                    "reSpeaker (Or other USB interface microphones)",
                    "Monitor, mouse, and keyboard"
                ],
                "installation_instructions": [
                    "git clone https:\/\/github.com\/LJ-Hao\/Deploy-Whisper-on-NVIDIA-Jetson-Orin-for-Real-time-Speech-to-Text.git",
                    "cd Deploy-Whisper-on-NVIDIA-Jetson-Orin-for-Real-time-Speech-to-Text",
                    "sudo apt install python3-pyaudio",
                    "pip3 install -r requirements.txt",
                    "sudo apt update && sudo apt install ffmpeg"
                ],
                "usage_instructions": [
                    "python test.py",
                    "arecord -D hw:2,0 --dump-hw-params",
                    "python3 main.py"
                ]
            }
        }
    },
    "ai_meta": {
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        "chars": 3000,
        "crawler_hint": "High-density technical content suitable for developers and engineers.",
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        "embedding_ready": true
    },
    "reasoning": "The content is a technical article detailing the deployment of a speech-to-text application using OpenAI's Whisper model on NVIDIA Jetson devices. It includes installation instructions, hardware requirements, and usage commands, making it suitable for a tech article schema."
}