Offline audio to text (Speech Recognition)

[jehoshua]

Have installed the following packages after reading docs on here and elsewhere.

python3-venv
python3-pip

Then as these test servers will be accessed from another computer on the LAN, I assumed the $HOME/Public path was going to be the place to setup the 2 virtual environments. So ran this

python3 -m venv /home/********/Public/Servers/django-deepspeech-server

looked in that path and it all looks okay. But really, I would have no idea...lol

pip list

shows all of the packages loaded for a (your) specific version of python.
To find out which one, type:

pip -V

pip3 list

DEPRECATION: The default format will switch to columns in the future. You can use --format=(legacy|columns) (or define a format=(legacy|columns) in your pip.conf under the

• section) to disable this warning.
  apt-xapian-index (0.47)
  asn1crypto (0.22.0)
  certifi (2017.4.17)
  chardet (3.0.4)
  command-not-found (0.3)
  cryptography (1.9)
  cupshelpers (1.0)
  distro-info (0.17)
  httplib2 (0.9.2)
  idna (2.5)
  keyring (10.4.0)
  keyrings.alt (2.2)
  language-selector (0.1)
  olefile (0.44)
  pexpect (4.2.1)
  Pillow (4.1.1)
  pip (9.0.1)
  pycrypto (2.6.1)
  pycups (1.9.73)
  pygobject (3.24.1)
  python-apt (1.4.0b3)
  python-debian (0.1.30)
  pyxdg (0.25)
  PyYAML (3.12)
  reportlab (3.4.0)
  requests (2.18.1)
  SecretStorage (2.3.1)
  setuptools (36.2.7)
  six (1.10.0)
  systemd-python (234)
  ubuntu-drivers-common (0.0.0)
  ufw (0.35)
  unattended-upgrades (0.1)
  urllib3 (1.21.1)
  wheel (0.29.0)
  xkit (0.0.0)
  
  

  pip3 -V

  pip 9.0.1 from /usr/lib/python3/dist-packages (python 3.6)
  
  

  Reading the part of the file is easy but what happens if the chunk ends in the middle of a word? You have to determine somehow where to cut.
  
  Fast googling gave me this:
  https://stackoverflow.com/questions/3645...-in-python
  https://github.com/antiboredom/audiogrep
  
  I hope it will give you some guidance.

  
  It sure will, thanks. I needed to somehow work out how to split some audios into single words, to make the 'learning' a lot easier. The packages that I'm going to test are meant to be rated at error less than 10% as it is based on Mozilla DeepSpeech, but it would be nice to add some extra learning based on single words.
  
  

  I found this in pypi: https://pypi.python.org/pypi/SpeechRecognition/
  It has can do it offline too. Give it a try

  
  Thanks, yes that was the one I initially tried, and there was a sample python script to test audio to text. It was setup to use the default, which is Sphinx/Pocketsphinx, or you can use Google, IMB/Watson or the http://wt.ai site. The transcription error rate was higher from the non Google/Youtube ones, and Google only allowed a file of very small size. So the online ones like IMB, Google, etc, you have to pay and the file has to sit on their servers. The offline ones I tested had much higher transcription errors, so not really suitable for me.
  

  ---

  Following the tutorial at https://python-forum.io/Thread-Basic-Par...1#pid18261 , I'm not sure how to equate the following
  
  

  # Make virtualenv that use Python 3.5
  mint@mint ~/Desktop/my_env $ virtualenv -p /usr/bin/python3.5 my_env
  mint@mint ~ $ cd my_env

  
  for Python 3.6 ?