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#This is part of Blather
# -- this code is licensed GPLv3
# Copyright 2013 Jezra
import pygst
pygst.require('0.10')
import gst
import os.path
import gobject
#define some global variables
this_dir = os.path.dirname( os.path.abspath(__file__) )
class Recognizer(gobject.GObject):
__gsignals__ = {
'finished' : (gobject.SIGNAL_RUN_LAST, gobject.TYPE_NONE, (gobject.TYPE_STRING,))
}
def __init__(self, language_file, dictionary_file):
gobject.GObject.__init__(self)
self.commands = {}
#build the pipeline
cmd = 'autoaudiosrc ! audioconvert ! audioresample ! vader name=vad ! pocketsphinx name=asr ! appsink sync=false'
self.pipeline=gst.parse_launch( cmd )
#get the Auto Speech Recognition piece
asr=self.pipeline.get_by_name('asr')
asr.connect('result', self.result)
asr.set_property('lm', language_file)
asr.set_property('dict', dictionary_file)
asr.set_property('configured', True)
#get the Voice Activity DEtectoR
self.vad = self.pipeline.get_by_name('vad')
self.vad.set_property('auto-threshold',True)
def listen(self):
self.pipeline.set_state(gst.STATE_PLAYING)
def pause(self):
self.vad.set_property('silent', True)
self.pipeline.set_state(gst.STATE_PAUSED)
def result(self, asr, text, uttid):
#emit finished
self.emit("finished", text)
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