Showing 3 open source projects for "active"

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    Handy STT

    Handy STT

    A free, open source, and extensible speech-to-text application

    ...Handy allows users to start transcription instantly using a configurable keyboard shortcut—press to record, release to transcribe—and automatically pastes the resulting text into any active text field. Its backend leverages OpenAI’s Whisper models for GPU-accelerated speech recognition and Parakeet V3 for efficient CPU-only transcription with automatic language detection. To further refine accuracy and responsiveness, Handy integrates Silero’s Voice Activity Detection (VAD) for silence filtering, ensuring only speech segments are processed.
    Downloads: 38 This Week
    Last Update:
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  • 2
    AzioSpeech Recognition and Translation

    AzioSpeech Recognition and Translation

    AzioSpeech Recognition and Translation

    ...Convert spoken words into text and translate them into multiple languages with professional-grade accuracy. Important Setup Requirements Before using this application, you MUST have: 1. Azure Account Setup Active Azure Subscription - Create a free account at portal.azure.com Azure Speech Service Resource - You must create your own Speech Service within your Azure subscription Valid API Key & Region - Obtain these credentials from your Azure Speech Service resource 2. Windows Privacy Settings CRITICAL: Microphone Access Required You must grant microphone access through Windows settings
    Downloads: 0 This Week
    Last Update:
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  • 3
    NVIDIA Nemotron 3.5 Transcribe

    NVIDIA Nemotron 3.5 Transcribe

    Multilingual speech AI for transcription, translation, and diarization

    NVIDIA Nemotron 3.5 Transcribe 30B-A4B is an open-weight speech and audio model designed for multilingual transcription, translation, speaker diarization, and audio understanding. It contains approximately 34B total parameters with 4.3B active, combining a hybrid Mamba-2–Transformer Mixture-of-Experts language backbone with dedicated speech recognition and speaker encoders. The model supports 40 languages, recordings up to one hour, and a 65,536-token context window. Its capabilities include verbatim and formatted transcription, speaker attribution, word-level timestamps, language identification, code-switching, and audio question answering. ...
    Downloads: 0 This Week
    Last Update:
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