Showing 6 open source projects for "speech recognition"

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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: 121 This Week
    Last Update:
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  • 2
    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. whisper.cpp supports integer quantization of the Whisper ggml models. ...
    Downloads: 387 This Week
    Last Update:
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  • 3
    MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition along with sample applications (identification, NLP, etc.) of its use, implemented in Java.
    Downloads: 3 This Week
    Last Update:
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  • 4

    Domotic Speech-recognition interface

    Speech-recognition interface for a domotic system.

    This product recognizes oral commands and translates them to domotic orders for a domotic system. This product does not implement a domotic system. This product is an interface to be plugged to a domotic system. The speech recognition is done by an arduino UNO board and an EasyVR shield. Available oral commands are generated from a house description file in XML format. The oral commands have to be trained for a specific users. For this purpose 2 interfaces are provided: a command line interface and a web application. These interfaces allow to visualize oral commands, train and delete trainings.
    Downloads: 0 This Week
    Last Update:
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  • 5
    Collaborative development and distribution of Windows Speech Recognition (WSR) application macros to 1) improve the accessibility of personal computing for impaired users, and 2) improve the efficiency of personal computing for all users.
    Downloads: 1 This Week
    Last Update:
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  • 6
    Project c2h - cetacean to human - building Seadragon, a tool for the scientific research of the acoustic communication of cetaceans, supporting the creation, emission, and recognition of underwater whistles. The blog: http://leafyseadragon.blogspot.com/
    Downloads: 0 This Week
    Last Update:
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