Audio2text
creates text from audio of A/V input file, using docker, sphinx. extracts keywords and NLP entities. leverages OpenNews, Stanford, Oxford, CMU and more
Install / Use
/learn @traceypooh/Audio2textREADME
audio2text
docker-based pocketsphinx that takes A/V input file to create text from the audio and extract keywords and entities from the results.
Allows one to, once SETUP is done, run locally on a Mac, network disabled / no cloud, and run speech to text and text analysis on an A/V file.
PREREQUISTES
Docker (eg: https://docs.docker.com/docker-for-mac/install/ )
git (brew or XCode setups have you covered ;-)
SETUP
git clone https://github.com/traceypooh/audio2text.git
cd audio2text
docker build -t audio2text .
RUN
( docker run --rm -i audio2text |tar xf - ) < test.mp3
will make (click each to see the results):
