Voice2Text is transcript media file to txt file to use Google Speach API &
Voice2Text need GOOGLE_APPLICATION_CREDENTIALS files. if you don't have this, please build google cloud projects and get from it.
- Google Cloud SDK Install
brew cask install google-cloud-sdk
- Setting Gcloud Projects
gcloud auth login
gcloud alpha projects create voicetotext-123456 --name voice2text
- Go to Projects URL and enable Google Speech API.
- Please Enable (Billing)[https://support.google.com/cloud/answer/6293499?hl=en].
- Create Service Key and Downlaod (Ref:Service Acount.)
- set GOOGLE_APPLICATION_CREDENTIALS
export GOOGLE_APPLICATION_CREDENTIALS='/your/service/acount/key/xxx.json'
pip install voicetotext
This application has two commands. splitvoice is convert the voice diving. voicetotext is voice existing in the folder into a text through google api. (See help command)
splitvoice --help
voicetotext --help
Sample Japanese voices from here
$ splitvoice voices/hana_1.mp3 --relative
spliting /57
spliting Done!
File was separete 57 filesOutput Separeted files? [Y/n]:y
separeted done! Have a nice Day!⏎
$ voicetotext results/ -s 22050 -l "ja_JP"
芥川龍之介
花
line
朗読池田秀雄
禅智内供の鼻といえば池で知らないものはない
長澤語録すがって上唇の上から顎の下まで下がっている
You need to examine the sample rate. I recommend ffprove to examine.
$ ffmprove results/000.flac
Input #0, flac, from 'results/000.flac':
Metadata:
ENCODER : Lavf57.56.101
Duration: 00:00:01.87, start: 0.000000, bitrate: 184 kb/s
Stream #0:0: Audio: flac, 22050 Hz, mono, s16
You can get framerate. In this case, frame rate is 22050. So, your commands is this.
$ voicetotext results -s 22050
- Fork it!
- Create your feature branch:
git checkout -b my-new-feature - Commit your changes:
git commit -am 'Add some feature' - Push to the branch:
git push origin my-new-feature - Submit a pull request :D
# virtualenv
python3 -m venv env
source ./env/bin/activate
# python packages install
pip install -r requirements.txt
This software is released under the MIT License, see LICENSE.txt.