Metadata-Version: 1.1
Name: Signal-Analysis
Version: 0.1.19
Summary: Determines different characteristics of signals.
Home-page: https://github.com/brookemosby/Speech_Analysis
Author: Brooke V Mosby
Author-email: brooke.mosby.byu@gmail.com
License: MIT
Description: 
        [![Build Status](https://travis-ci.org/brookemosby/Speech_Analysis.svg?branch=master)](https://travis-ci.org/brookemosby/Speech_Analysis) 
        [![Coverage Status](https://coveralls.io/repos/github/brookemosby/Speech_Analysis/badge.svg?branch=master)](https://coveralls.io/github/brookemosby/Speech_Analysis?branch=master)
        [![PyPI version](https://badge.fury.io/py/Signal_Analysis.svg)](https://badge.fury.io/py/Signal_Analysis)
        
        
        # Speech_Analysis
        
        `Speech_Analysis` is a package that analyzes audio signals, and calculates the 
        fundamental frequency (F_0), the harmonics-to-noise ratio (HNR), glottal 
        pulses, and jitter of a speaker's voice. This package is comparable to Praat. 
        All modules are held in features, to use you must import signal from 
        Signal_Analysis.features .
        
        ## Quickstart
        
        ```
        pip install Signal_Analysis
        ```
        
        ## API Documentation
        
        Full API documentation is hosted at [github
        pages](https://brookemosby.github.io/Signal_Analysis/).
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Other Audience
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
