Showing 5 open source projects for "mona server mac"

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  • 1
    sherpa-onnx

    sherpa-onnx

    Speech-to-text, text-to-speech, and speaker recognition

    Speech-to-text, text-to-speech, and speaker recognition using next-gen Kaldi with onnxruntime without an Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift, Dart, JavaScript, Flutter.
    Downloads: 119 This Week
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  • 2
    RealtimeSTT

    RealtimeSTT

    A robust, efficient, low-latency speech-to-text library

    RealtimeSTT is a Python-based realtime speech-to-text engine emphasizing low latency, wake-word detection, voice activity detection, and automatic speech segmentation. It provides asynchronous callbacks, nanosecond-precision timestamps, and CLI tools, suitable for building voice assistants, meeting transcribers, or live caption systems.
    Downloads: 2 This Week
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  • 3
    Conversations

    Conversations

    App in java for chatting to a generative A.I. (involving tts and stt)

    Java application for chatting to generative AI Llama3. * The user can speak into the microphone (speechToText), edit the recognized text and send it to the AI. * The AI ​​responds and the server returns that response in real time, and the sentences converted to audio (textToSpeech), and the application broadcasts them through the speaker. The application is prepared so that only one user occupies the server's resources, so if the server is busy, in theory it will not let you...
    Downloads: 0 This Week
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  • 4
    Speechalyzer

    Speechalyzer

    Process large speech data wrt transcription, labeling and annotation

    Speechalyzer: a tool for the daily work of a 'speech worker' It is optimized to process large speech data sets with respect to transcription, labeling and annotation. It is implemented as a client server based framework in Java and interfaces software for speech recognition, synthesis, speech classification and quality evaluation. The application is mainly the processing of training data for speech recognition and classification models and performing benchmarking tests on...
    Downloads: 0 This Week
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  • 5

    Yap MCP

    Private, on-device speech to text for AI assistants (MCP server).

    Yap MCP lets Claude, Cursor, VS Code, Windsurf and any MCP client transcribe local audio and video files (WAV, MP3, M4A, MP4, FLAC, OGG, Opus, WebM and more, any length) entirely on your computer with NVIDIA Parakeet TDT v3, the same speech engine as the Yap dictation app. 25 European languages detected automatically, optional timestamps, and a read-only search of your Yap dictation history. No upload, no API key, no account; the speech model (about 670 MB) downloads once and then it works...
    Downloads: 0 This Week
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