From 6ea7c3c65bb14fded486acb4b8e9e2bb70efe40e Mon Sep 17 00:00:00 2001
From: Jezra <jezra@jezra.net>
Date: Tue, 9 Apr 2013 22:49:54 -0700
Subject: Init

---
 README       |  8 ++++++
 TTS.py       | 85 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 blather.py   | 73 +++++++++++++++++++++++++++++++++++++++++++++++++++
 commands.tmp |  6 +++++
 4 files changed, 172 insertions(+)
 create mode 100644 README
 create mode 100755 TTS.py
 create mode 100755 blather.py
 create mode 100644 commands.tmp

diff --git a/README b/README
new file mode 100644
index 0000000..ab8248b
--- /dev/null
+++ b/README
@@ -0,0 +1,8 @@
+1. Run blather.py, this will generate a 'sentences.corpus' file based on sentences in the 'commands' file
+2. quit blather (there is a good chance it will just segfault)
+3. go to http://www.speech.cs.cmu.edu/tools/lmtool-new.html and upload the sentences.corpus file
+4. download the resulting XXXX.lm file to the 'language' directory and rename to file to 'lm'
+5. download the resulting XXXX.dic file to the 'language' directory and rename to file to 'dic'
+6. run blather.py
+7. start talking
+
diff --git a/TTS.py b/TTS.py
new file mode 100755
index 0000000..96a6f64
--- /dev/null
+++ b/TTS.py
@@ -0,0 +1,85 @@
+#!/usr/bin/env python2
+import gst
+import subprocess
+import os.path
+import time
+import gobject
+
+#define some global variables
+this_dir = os.path.dirname( os.path.abspath(__file__) )
+lang_dir = os.path.join(this_dir, "language")
+command_file = os.path.join(this_dir, "commands")
+strings_file = os.path.join(this_dir, "sentences.corpus")
+
+class TTS(gobject.GObject):
+	__gsignals__ = {
+		'finished' : (gobject.SIGNAL_RUN_LAST, gobject.TYPE_NONE, (gobject.TYPE_BOOLEAN,))
+	}
+	def __init__(self):
+		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', os.path.join(lang_dir, 'lm'))
+		asr.set_property('dict', os.path.join(lang_dir, 'dic'))
+		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)
+		self.read_commands()
+		#init gobject threads
+		gobject.threads_init()
+		
+	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):
+		self.emit("finished", True)
+		print text
+		#is there a matching command?
+		if self.commands.has_key( text ):
+			cmd = self.commands[text]
+			print cmd
+			subprocess.call(cmd, shell=True)
+		else:
+			print "no matching command"
+		#emit finished
+		
+		
+	def read_commands(self):
+		#read the.commands file
+		file_lines = open(command_file)
+		strings = open(strings_file, "w")
+		for line in file_lines:
+				#trim the white spaces
+				line = line.strip()
+				#if the line has length and the first char isn't a hash
+				if len(line) and line[0]!="#":
+						#this is a parsible line
+						(key,value) = line.split(":",1)
+						print key, value
+						self.commands[key.strip()] = value.strip()
+						strings.write( key.strip()+"\n")
+		#close the strings file
+		strings.close()
+
+if __name__ == "__main__":
+	b = Blather()
+	b.listen()
+	main_loop = gobject.MainLoop()
+	#start the main loop
+	try:
+		main_loop.run()
+	except:
+		main_loop.quit()
+	
+
+
diff --git a/blather.py b/blather.py
new file mode 100755
index 0000000..230f055
--- /dev/null
+++ b/blather.py
@@ -0,0 +1,73 @@
+#!/usr/bin/env python2
+import sys
+import signal
+import gobject
+# Qt stuff
+from PySide.QtCore import Signal, Qt
+from PySide.QtGui import QApplication, QWidget, QMainWindow, QVBoxLayout
+from PySide.QtGui import QLabel, QPushButton, QCheckBox
+from TTS import TTS
+
+class Blather:
+	def __init__(self):
+		self.tts = TTS();
+		self.tts.connect('finished',self.tts_finished)
+		#make a window
+		self.window = QMainWindow()
+		center = QWidget()
+		self.window.setCentralWidget(center)
+		
+		layout = QVBoxLayout()
+		center.setLayout(layout)
+		#make a listen/stop button
+		self.lsbutton = QPushButton("Listen")
+		layout.addWidget(self.lsbutton)
+		#make a continuous button
+		self.ccheckbox = QCheckBox("Continuous Listen")
+		layout.addWidget(self.ccheckbox)
+		
+		#connect the buttonsc
+		self.lsbutton.clicked.connect(self.lsbutton_clicked)
+		self.ccheckbox.clicked.connect(self.ccheckbox_clicked)
+	
+	def tts_finished(self, x, y):
+		if self.ccheckbox.isChecked():
+			pass
+		else:
+			self.lsbutton_stopped()
+			
+			
+	def ccheckbox_clicked(self):
+		checked = self.ccheckbox.isChecked()
+		if checked:
+			#disable lsbutton
+			self.lsbutton.setEnabled(False)
+			self.tts.listen()
+		else:
+			self.lsbutton.setEnabled(True)
+	
+	def lsbutton_stopped(self):
+		self.tts.pause()
+		self.lsbutton.setText("Listen")
+		
+	def lsbutton_clicked(self):
+		val = self.lsbutton.text()
+		print val
+		if val == "Listen":
+			self.tts.listen()
+			self.lsbutton.setText("Stop")
+		else:
+			self.lsbutton_stopped()
+			
+	def run(self):
+		self.window.show()
+		
+if __name__ == "__main__":
+	app = QApplication(sys.argv)
+	b = Blather()
+	b.run()
+	
+	signal.signal(signal.SIGINT, signal.SIG_DFL)
+	#start the app running
+	sys.exit(app.exec_())
+	
diff --git a/commands.tmp b/commands.tmp
new file mode 100644
index 0000000..3835915
--- /dev/null
+++ b/commands.tmp
@@ -0,0 +1,6 @@
+# commands are key:value pairs 
+# key is the sentence to listen for
+# key must be in ALL CAPS 
+# value is the command to run when the key is spoken
+
+HELLO WORLD:echo "hello world"
-- 
cgit 1.4.1