Metadata-Version: 1.1
Name: my-voice-analysis
Version: 0.3
Summary: the analysis of voice (simultaneous speech) without the need of a transcription
Home-page: https://github.com/Shahabks/my-voice-analysis
Author: Shahab Sabahi
Author-email: sabahi.s@mysol-gc.jp
License: MIT
Description: My-Voice Analysis is a Python library for the analysis of voice (simultaneous speech, high entropy) 
        without the need of a transcription. It breaks utterances and detects syllable boundaries, fundamental frequency contours, 
        and formants. Its built-in functions recognise and measures 
        1.	gender recognition, 
        2.	speech mood (semantic analysis), 
        3.	pronunciation posterior score 
        4.	articulation-rate, 
        5.	speech rate,
        6.	filler words, 
        7.	f0 statistics, 
        The library was developed based upon the idea introduced by Nivja DeJong and Ton Wempe [1], 
        Paul Boersma and David Weenink [2], Carlo Gussenhoven [3], S.M Witt and S.J. Young [4] and Yannick Jadoul [5]. 
        Peaks in intensity (dB) that are preceded and followed by dips in intensity are considered as potential syllable cores. 
        My-Voice Analysis is unique in its aim to provide a complete quantitative and analytical way to study acoustic features 
        of a speech. Moreover, those features could be analysed further by employing Python’s functionality to provide more 
        fascinating insights into speech patterns. 
        This library is for Linguists, scientists, developers, speech and language therapy clinics and researchers.   
        Please note that My-Voice Analysis is currently in initial state though in active development. While the amount of 
        functionality that is currently present is not huge, more will be added over the next few months.
        Installation
        my-voice-analysis can be installed like any other Python library, using (a recent version of) the Python package 
        manager pip, on Linux, macOS, and Windows:
        
        pip install my-voice-analysis
        
        or, to update your installed version to the latest release:
        pip install -u my-voice-analysis
        
        NOTE: 
        After installing My-Voice-Analysis, copy the file myspsolution.praat from
         https://github.com/Shahabks/my-voice-analysis  and save in the directory where you will save audio files for analysis.
        Audio files must be in *.wav format, recorded at 44 kHz sample frame and 16 bits of resolution.
        
        To check how the my-voice-analysis functions behave, please check EXAMPLES.docx on https://github.com/Shahabks/my-voice-analysis.
        
        My-Voice-Analysis was developed by MYOLUTIONS Lab in Japan. It is part of New Generation of Voice Recognition and Analysis 
        Project in MYSOLUTIONS Lab. That is planned to rich the functionality of My-Voice Analysis by adding more advanced 
        functions.
Keywords: praat speech signal processing phonetics
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.7
