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        "author": "Rasmus Arpe Fogh Jensen, Martin Carsten Nielsen",
        "author_email": "rasmus.arpe@gmail.com, mcnielsen4270@gmail.com,",
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        "description": "# DanSpeech\nAn open-source python package for Danish speech recognition.\n\nYou can find all relevant information in the documentation and we provide you with some extra links below. \n\n[![Documentation](https://img.shields.io/badge/Documentation-blue.svg?style=for-the-badge)](https://danspeech.github.io/danspeech/)\n\n[![Installation](https://img.shields.io/badge/Installation-blue.svg?style=for-the-badge)](https://danspeech.github.io/danspeech/html/installation.html)\n\n[![Examples](https://img.shields.io/badge/Examples-blue.svg?style=for-the-badge)](https://danspeech.github.io/danspeech/html/auto_examples/index.html)\n\n## Demo\nTo experience the danspeech package, we've created a simple demo with a nice GUI. It depends on danspeech \nand django.\n\nThe demo resides at [https://github.com/danspeech/danspeechdemo](https://github.com/danspeech/danspeechdemo).\n\n## Train models\nIf you wish to train your own models, or perhaps finetune a DanSpeech model to your specific use case, we then \nrefer to the [DanSpeech training repository](https://github.com/danspeech/danspeech_training). \n\n## Support\nIf you require help with the software, then feel free to create issues here on github. We will continually solve issues\nand answer any questions that you might have. \n\n## Authors and acknowledgment\nMain authors: \n* Martin Carsten Nielsen  ([mcnielsen4270@gmail.com](mcnielsen4270@gmail.com))\n* Rasmus Arpe Fogh Jensen ([rasmus.arpe@gmail.com](rasmus.arpe@gmail.com))\n\nOther acknowledgements:\n\n* We've trained the models based on the code from [https://github.com/SeanNaren/deepspeech.pytorch](https://github.com/SeanNaren/deepspeech.pytorch).\n* The audio handling and recognizing flow is based on [https://github.com/Uberi/speech_recognition](https://github.com/Uberi/speech_recognition).\n* Handling of the pretrained models is based on [keras](https://github.com/keras-team/keras).\n* We've trained all models with the aid of DTU using data from Sprakbanken ([NST](https://www.nb.no/sprakbanken/show?serial=oai%3Anb.no%3Asbr-19&lang=en)).\n\n\n## Licence\nThe software is in general licenced under the Apache-2 licence and may be used commercially. \n\n[![Licence](https://img.shields.io/badge/license-Apache--2.0-blue)](https://github.com/danspeech/LICENCE.txt)\n\n**NOTE:**\nSome code parts in DanSpeech contain links to other original sources. If this is the case, then the specific code \npart is licenced differently depending on the source and if you wish to redistribute DanSpeech code, then you must\nmake sure you also comply with the original code licences.  \n\nThe flac binaries are licenced under GPLv2. See more information at [Flac licence](https://github.com/Uberi/speech_recognition/blob/master/LICENSE-FLAC.txt).",
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