Showing 4 open source projects for "java server pages"

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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: 201 This Week
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  • 2
    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.
    Downloads: 0 This Week
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  • 3
    ILA - teachable voice assistant

    ILA - teachable voice assistant

    ILA is a fully customizable and teachable voice assistant for Java

    ILA stands for (kind of) intelligent, learning assistant and is a speech recognition system aka voice assistant very similar to Siri, Google Now and Cortana. ILA is fully customizable and you can teach her/him/it new things by yourself like executing system commands, opening web pages, programs and apps or just some basic conversation :-) ILA runs on Java und thus is compatible to Windows, Mac and Linux. It is designed to integrate with your home enviroment and for example build up your own, free and open Amazon Echo replacement ;-) Right now the key components of ILA are the open source speech recognition CMU Sphinx-4, Google (Speech Recognition/Text-To-Speech) and MaryTTS (Text-To-Speech). ...
    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 speech-to-text, text-to-speech and speech classification software systems.
    Downloads: 1 This Week
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