Showing 4 open source projects for "device"

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  • 1
    Ito

    Ito

    Ito, smart dictation in every application

    ito is an open‑source JavaScript library for serverless, browser‑to‑browser communication designed for use on devices with or without user input interfaces, such as IoT devices, mobile devices, tablets, and desktops, enabling peer messaging and data sharing via short passcodes and cloud‑backed pairing without an application server.
    Downloads: 4 This Week
    Last Update:
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  • 2
    Insanely Fast Whisper

    Insanely Fast Whisper

    An opinionated CLI to transcribe Audio files w/ Whisper on-device

    Insanely Fast Whisper is a high-performance command-line tool designed to dramatically accelerate speech-to-text transcription using OpenAI’s Whisper models on local hardware. It leverages modern optimizations such as batch processing, mixed precision, and advanced attention mechanisms like Flash Attention to significantly reduce inference time while maintaining high transcription accuracy. The project is built on top of the Transformers ecosystem and integrates with libraries such as...
    Downloads: 1 This Week
    Last Update:
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  • 3
    DeepSpeech

    DeepSpeech

    Open source embedded speech-to-text engine

    DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier.
    Downloads: 4 This Week
    Last Update:
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  • 4
    Wilson Personal Assistant

    Wilson Personal Assistant

    Personal Assistant using speech recognition and speech synthesis

    ...Rather than responding to canned commands, it will process the sentence spoken to it, and decide if it is actionable or a conversation. 1st stage is to finalize the speech recognition and bot personality. 2nd stage to incorporate a knowledge base using NELL , Wolfram Alpha, and Google API. This will allow the bot to answer any question. 3rd stage is the personal assistant. Calendar , email , finance, organization management. Media control, device & file management. The project will be kept modular. AIMLbot source: https://sourceforge.net/projects/aimlbot/
    Downloads: 0 This Week
    Last Update:
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