Speech-Hacker 0.4

Makes famous people speak whatever you wish by linking their words

# Speech-Hacker

[](https://www.youtube.com/watch?v=pV8FQpc1NlQ “Youtube_Video” )

## Description

Would you like to make any famous figure speak whatever you want? Use Speech-Hacker to train your own speaker and receive speeches spoken by them.

Speech-Hacker takes a large data base of audio speeches spoken by your chosen figure and employes Simple Audio Indexer (Using Watson Speech API) to split them on words and to create smaller chunks of audio files containing those words. Finally, your desired speech’s words and phrases get associated with audio chunks that were created and converted, so that you can receive a brand new speech spoken by your figure.

## Significant Imporvement in New Version

In earlier versions, Speech-Hacker was using pydub to split words based on amount of silence between them. That worked, but it wasn’t as smart as we wanted to be. Therefore, we thought of using IBM Watson Speech API to detect words. Of course, we got much better results! SimpleAudioIndexer was built as a separate project to help us implement this functionality for Speech-hacker.

I’ll show you how to get started:

1. [Dependencies](https://github.com/ParhamP/Speech-Hacker#dependencies “Dependencies”)

2. [Install](https://github.com/ParhamP/Speech-Hacker#install “Install”)

3. [Setup](https://github.com/ParhamP/Speech-Hacker#setup “Setup”)

4. [Usage](https://github.com/ParhamP/Speech-Hacker#usage “Usage”)

## Dependencies

1. Python 2.7

2. [Simple Audio Indexer](https://github.com/aalireza/SimpleAudioIndexer> “Simple Audio Indexer”)

3. IBM Watson Speech API Username and Password

3. ffmpeg: brew install ffmpeg –with-libvorbis –with-ffplay –with-theora (Mac), apt-get install ffmpeg libavcodec-extra-53 (Linux)

## Install

pip install Speech-Hacker

## Setup

1. Choose your figure(s).

2. Browse the internet to find reasonable amount of relatively good quality audio files spoken by your figure. (Convert them to WAV)

3. Place all the audio files you found in a folder

4. Acquire IBM Watson Speech to Text username and password at https://www.ibm.com/watson/developercloud/speech-to-text.html (For help visit: [Here](https://www.ibm.com/watson/developercloud/doc/getting_started/gs-credentials.shtml> “IBM_GetStarted”))

## Usage

### Command for training a model

Speech-hacker -train -u IBM_USERNAME -p IBM_PASSWORD -d ABS_PATH_TO_YOUR_AUDIO_FILES_FOLDER

### Command for generating your custom speech

Speech-Hacker -generate -d ABS_PATH_TO_TRAINED_MODEL -t “WHAT_YOU WANT_TO_SAY” -g DESTINATION_FOR_REQUESTED_AUDIO

If you would like to generate from a text file, you can alternatively enter:

Speech-Hacker -generate -d ABS_PATH_TO_TRAINED_MODEL -f “ABS_PATH_OF_TEXT_FILE” -g DESTINATION_FOR_REQUESTED_AUDIO

Arguments Description:

-train : Training mode

IBM_USERNAME : IBM Watson Speech to Text username

IBM_PASWORD : IBM Watson Speech to Text password

ABS_PATH_TO_YOUR_AUDIO_FILES_FOLDER : Absolute path to the folder you placed the audio of your figure

-generate : Generating mode

ABS_PATH_TO_TRAINED_MODEL : Absolute path of the folder of audios you entered when training.

DESTINATION_FOR_REQUESTED_AUDIO : The destination you would like to export your generated audio to.

## Thanks

Many thanks to the following GitHub users for contributing code and/or ideas:

[aalireza](https://github.com/aalireza> “aalireza”)

[Stickerpants](https://github.com/Stickerpants> “Stickerpants”)

[girishramnani](https://github.com/girishramnani> “girishramnani”)

[ochawkeye](https://github.com/ochawkeye> “ochawkeye”)