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        "author": "Shahab Sabahi",
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        "description": "## the new revision has got a new script and bugs fixed ## \n\nMy-Voice-Analysis is a Python library for the analysis of voice (simultaneous speech, high entropy) \nwithout the need of a transcription. It breaks utterances and detects syllable boundaries, fundamental \nfrequency contours, and formants. Its built-in functions recognize and measures:\n\n1.\tgender recognition, \n2.\tspeech mood (semantic analysis), \n3.\tpronunciation posterior score \n4.\tarticulation-rate, \n5.\tspeech rate,\n6.\tfiller words, \n7.\tf0 statistics.\n\nThe library was developed based upon the idea introduced by Nivja DeJong and Ton Wempe [1], \nPaul Boersma and David Weenink [2], Carlo Gussenhoven [3], S.M Witt and S.J. Young [4] and \nYannick Jadoul [5].\n\nPeaks in intensity (dB) that are preceded and followed by dips in intensity are considered \nas potential syllable cores. \n\nMy-Voice Analysis is unique in its aim to provide a complete quantitative and analytical way \nto study acoustic features of a speech. Moreover, those features could be analysed further \nby employing Python\u2019s functionality to provide more fascinating insights into speech patterns. \n\nThis library is for Linguists, scientists, developers, speech and language therapy clinics and\nresearchers. Please note that My-Voice Analysis is currently in initial state though in active \ndevelopment. While the amount of functionality that is currently present is not huge, more will \nbe added over the next few months.\n\n=============\nInstallation\n=============\nmy-voice-analysis can be installed like any other Python library, using (a recent version of) \nthe Python package manager pip, on Linux, macOS, and Windows:\n\n------------- pip install my-voice-analysis\n------------------------------\nor, to update your installed version to the latest release:\n-------------    pip install -u my-voice-analysis\n---------------------------------\nNOTE: \nAfter installing My-Voice-Analysis, copy the file \n-----------------myspsolution.praat from--------------\n---------- https://github.com/Shahabks/my-voice-analysis ---- \nand save in the directory where you will save audio files for analysis.\n\nAudio files must be in *.wav format, recorded at 44 kHz sample frame and 16 bits of resolution.\n\nTo check how the my-voice-analysis functions behave, please check \n---------------- EXAMPLES.docx on --------\n------------- https://github.com/Shahabks/my-voice-analysis.-----\n\nMy-Voice-Analysis was developed by MYOLUTION Lab in Japan. It is part of New Generation of Voice\nRecognition and Analysis Project in MYSOLUTION Lab. That is planned to rich the functionality of \nMy-Voice Analysis by adding more advanced functions.\n\n---------https://shahabks.github.io/Mysolution-Lab-AI/ \n\n",
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