Showing 4 open source projects for "low code"

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  • 1
    whisper.cpp

    whisper.cpp

    Port of OpenAI's Whisper model in C/C++

    whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples....
    Downloads: 1,210 This Week
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  • 2
    Omnilingual ASR

    Omnilingual ASR

    Omnilingual ASR Open-Source Multilingual SpeechRecognition

    ...The repo is aimed at pushing practical multilingual ASR—robust to accents, code-switching, and domain shifts—rather than language-by-language systems. For practitioners, it’s a starting point to study transfer, zero-shot behavior, and trade-offs between model size, compute cost, and coverage.
    Downloads: 1 This Week
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  • 3
    Flow Teleprompter

    Flow Teleprompter

    A Windows first teleprompter with voice tracking and AI drafting.

    Flow is an ultra-lightweight, high-performance desktop teleprompter built with Tauri and Rust. It is designed for creators & presenters who need a clean reading surface without sacrificing advanced features like native voice tracking via local Vosk models and app-wide voice commands. It features five playback styles (highlight, scroll, line, arrow, and voice tracking), local-first privacy, and a built-in script editor. Version 1.9.0 introduces WebRTC-powered real-time collaborative...
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    Downloads: 42 This Week
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  • 4

    Speech Recognition System

    Speech Recognition System - Matlab source code

    Speech recognition technology is used more and more for telephone applications like travel booking and information, financial account information, customer service call routing, and directory assistance. Using constrained grammar recognition, such applications can achieve remarkably high accuracy. Research and development in speech recognition technology has continued to grow as the cost for implementing such voice-activated systems has dropped and the usefulness and efficacy of these...
    Downloads: 0 This Week
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