Metadata-Version: 2.1
Name: AutomatiseCA
Version: 0.1.3
Summary: An automatic trascription system for Conversational Analysis
Home-page: https://github.com/pypa/sampleproject
Author: Domenico De Cristofaro
Author-email: ddecristofar@unibz.it
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/pypa/sampleproject/issues
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: requests
Requires-Dist: ibm-watson
Requires-Dist: noisereduce
Requires-Dist: scipy
Requires-Dist: pydub
Requires-Dist: praat-parselmouth

# AutomatiseCA Documentation

Domenico De Cristofaro

## About

AutomatizeCA is an automated transcription program for linguists and conversation analyst experts.

It is designed to be used for generating Conversation Analysis transcripts that can be improved manually.

## Overview

AutomatizeCA takes in a recorded speech and uses a Speech to Text API to generate a time-aligned transcript. It uses a system of functions to detect the pauses between the turns, to assign the speaker lables to the transcripts and to report and replace the backchannels.

AutomatizeCA renders the final transcript in a txt file including the formats of the Jefferson Transcription System.

**VERSION: 0.0.1**

This is a beta version, further implementation will be done in the future.

## Installation

**Pre-requisites**

In order to use AutomatizeCA, you should have some familiarity with using the terminal to install and run programs.

You should also be aware that AutomatiseCA uses [IBM Watson&#39;s STT API]
(https://cloud.ibm.com/apidocs/speech-to-text)






