def __init__( self, user_profile=None, test_mode=False ):
self.speech_to_action_map = \
tbh_action_map.get_speech_to_action_map()
if test_mode:
self.user_profile = tbh_user_profile.tbh_user_profile_t( 0 )
else:
self.user_profile = user_profile
self.intent_matrix = self.initialize_intent_matrix()
self.answer_text_manager = \
tbh_answer_text_manager.tbh_answer_text_manager_t()
def get_intents( self ):
speech_dict = tbh_action_map.get_speech_to_action_map()
# print intent_vector
information_codes = []
system_codes = []
phone_call_codes = []
for code in speech_dict.keys():
category = speech_dict[code]['category']
if category in ( 'time', 'activities', 'weather', 'menus' ):
information_codes.append( code )
elif category in ( 'system', 'voice_synthesizer' ):
system_codes.append( code )
elif category in ( 'phone_call', 'digits' ):
phone_call_codes.append( code )
possible_intents = information_codes + \
system_codes + phone_call_codes
return possible_intents
def initialize_intent_matrix( self ):
speech_dict = tbh_action_map.get_speech_to_action_map()
intent_keys = speech_dict.keys()
intent_matrix = {}
for item in intent_keys:
intent_matrix[item] = {}
# Create intent matrix that maps codes to actions. This is a
# conditional probability table with a high value along its
# diagonals and low probabilities off diagonal
possible_intents = self.get_intents()
MATCH_VALUE = 0.95
for i in possible_intents:
for j in possible_intents:
if j == i:
intent_matrix[i][j] = log( MATCH_VALUE )
else:
intent_matrix[i][j] = \
log ( 1 - MATCH_VALUE ) - \
log( len( possible_intents ) - 1 )
return intent_matrix
