Source code for dragonfly.engines.backend_kaldi.dictation

#
# This file is part of Dragonfly.
# (c) Copyright 2007, 2008 by Christo Butcher
# Licensed under the LGPL.
#
#   Dragonfly is free software: you can redistribute it and/or modify it
#   under the terms of the GNU Lesser General Public License as published
#   by the Free Software Foundation, either version 3 of the License, or
#   (at your option) any later version.
#
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#   WITHOUT ANY WARRANTY; without even the implied warranty of
#   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
#   Lesser General Public License for more details.
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#   You should have received a copy of the GNU Lesser General Public
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#

"""
Dictation container for the Kaldi engine.

"""

import itertools

from dragonfly.grammar.elements_basic  import Dictation as BaseDictation
from dragonfly.grammar.elements_basic  import (RuleRef, Alternative,
                                               ListRef, DictListRef,
                                               Repetition)
from dragonfly.grammar.list            import List, DictList
from dragonfly.grammar.rule_compound   import CompoundRule


#---------------------------------------------------------------------------
# User dictation class -- elements capable of also recognizing user words.

[docs] class UserDictation(RuleRef): """ Imitates the standard Dictation element class, using individual chunks of Dictation or the user's added terminology. """ # Partially copied from BaseDictation def __init__(self, name=None, format=True, default=None): RuleRef.__init__(self, rule=_user_dictation_sequence_rule, name=name, default=default) self._format_words = format self._string_methods = [] # Use BaseDictation methods __repr__ = BaseDictation.__repr__ __getattr__ = BaseDictation.__getattr__ # Partially copied from BaseDictation
[docs] def value(self, node): words = node.children[0].value() if self._format_words: return node.engine.DictationContainer(words, self._string_methods) else: return words
user_dictation_list = List('__kaldi_user_dictation_list', []) user_dictation_dictlist = DictList('__kaldi_user_dictation_dictlist', {}) class _UserDictationSequenceRule(CompoundRule): spec = "<__kaldi_user_dictation_sequence>" extras = [ Repetition(Alternative([ BaseDictation(format=False), ListRef('__kaldi_user_dictation_listref', user_dictation_list), DictListRef('__kaldi_user_dictation_dictlistref', user_dictation_dictlist), ]), min=1, max=16, name="__kaldi_user_dictation_sequence"), ] exported = False def value(self, node): # This method returns the value of the root Repetition: a list of values of # Alternatives, each (dictation or listref or dictlistref) being a string. chunks = node.children[0].value() # Make sure each chunk is a list (of strings), then concat them together. return list(itertools.chain.from_iterable([chunk] if not isinstance(chunk, list) else chunk for chunk in chunks)) _user_dictation_sequence_rule = _UserDictationSequenceRule() #--------------------------------------------------------------------------- # Alternative dictation classes -- elements capable of default or alternative dictation.
[docs] class AlternativeDictation(BaseDictation): alternative_default = True def __init__(self, *args, **kwargs): self.alternative = kwargs.pop('alternative', self.alternative_default) BaseDictation.__init__(self, *args, **kwargs)
[docs] class DefaultDictation(BaseDictation): alternative_default = False def __init__(self, *args, **kwargs): self.alternative = kwargs.pop('alternative', self.alternative_default) BaseDictation.__init__(self, *args, **kwargs)