Somewhat fancy voice command recognition software
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Recognizer.py 1.5KB

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  1. #This is part of Blather
  2. # -- this code is licensed GPLv3
  3. # Copyright 2013 Jezra
  4. import pygst
  5. pygst.require('0.10')
  6. import gst
  7. import os.path
  8. import gobject
  9. #define some global variables
  10. this_dir = os.path.dirname( os.path.abspath(__file__) )
  11. class Recognizer(gobject.GObject):
  12. __gsignals__ = {
  13. 'finished' : (gobject.SIGNAL_RUN_LAST, gobject.TYPE_NONE, (gobject.TYPE_STRING,))
  14. }
  15. def __init__(self, language_file, dictionary_file, src = None):
  16. gobject.GObject.__init__(self)
  17. self.commands = {}
  18. if src:
  19. audio_src = 'alsasrc device="hw:%d,0"' % (src)
  20. else:
  21. audio_src = 'autoaudiosrc'
  22. #build the pipeline
  23. cmd = audio_src+' ! audioconvert ! audioresample ! vader name=vad ! pocketsphinx name=asr ! appsink sync=false'
  24. try:
  25. self.pipeline=gst.parse_launch( cmd )
  26. except Exception, e:
  27. print e.message
  28. print "You may need to install gstreamer0.10-pocketsphinx"
  29. #get the Auto Speech Recognition piece
  30. asr=self.pipeline.get_by_name('asr')
  31. asr.connect('result', self.result)
  32. asr.set_property('lm', language_file)
  33. asr.set_property('dict', dictionary_file)
  34. asr.set_property('configured', True)
  35. #get the Voice Activity DEtectoR
  36. self.vad = self.pipeline.get_by_name('vad')
  37. self.vad.set_property('auto-threshold',True)
  38. def listen(self):
  39. self.pipeline.set_state(gst.STATE_PLAYING)
  40. def pause(self):
  41. self.vad.set_property('silent', True)
  42. self.pipeline.set_state(gst.STATE_PAUSED)
  43. def result(self, asr, text, uttid):
  44. #emit finished
  45. self.emit("finished", text)