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# Copyright (c) 1999-2016 Carnegie Mellon University. All rights
# reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
#
# 2. Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in
# the documentation and/or other materials provided with the
# distribution.
#
# This work was supported in part by funding from the Defense Advanced
# Research Projects Agency and the National Science Foundation of the
# United States of America, and the CMU Sphinx Speech Consortium.
#
# THIS SOFTWARE IS PROVIDED BY CARNEGIE MELLON UNIVERSITY ``AS IS'' AND
# ANY EXPRESSED OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
# THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL CARNEGIE MELLON UNIVERSITY
# NOR ITS EMPLOYEES BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import os
import sys
import signal
from contextlib import contextmanager
from sphinxbase.sphinxbase import *
from .pocketsphinx import *
DefaultConfig = Decoder.default_config
def get_model_path():
""" Return path to the model. """
return os.path.join(os.path.dirname(__file__), 'model')
def get_data_path():
""" Return path to the data. """
return os.path.join(os.path.dirname(__file__), 'data')
class Pocketsphinx(Decoder):
def __init__(self, **kwargs):
model_path = get_model_path()
data_path = get_data_path()
self.goforward = os.path.join(data_path, 'goforward.raw')
if kwargs.get('dic') is not None and kwargs.get('dict') is None:
kwargs['dict'] = kwargs.pop('dic')
if kwargs.get('hmm') is None:
kwargs['hmm'] = os.path.join(model_path, 'en-us')
if kwargs.get('lm') is None:
kwargs['lm'] = os.path.join(model_path, 'en-us.lm.bin')
if kwargs.get('dict') is None:
kwargs['dict'] = os.path.join(model_path, 'cmudict-en-us.dict')
if kwargs.pop('verbose', False) is False:
if sys.platform.startswith('win'):
kwargs['logfn'] = 'nul'
else:
kwargs['logfn'] = '/dev/null'
config = DefaultConfig()
for key, value in kwargs.items():
if isinstance(value, bool):
config.set_boolean('-{}'.format(key), value)
elif isinstance(value, int):
config.set_int('-{}'.format(key), value)
elif isinstance(value, float):
config.set_float('-{}'.format(key), value)
elif isinstance(value, str):
config.set_string('-{}'.format(key), value)
super(Pocketsphinx, self).__init__(config)
def __str__(self):
return self.hypothesis()
@contextmanager
def start_utterance(self):
self.start_utt()
yield
self.end_utt()
@contextmanager
def end_utterance(self):
self.end_utt()
yield
self.start_utt()
def decode(self, audio_file=None, buffer_size=2048,
no_search=False, full_utt=False):
buf = bytearray(buffer_size)
with open(audio_file or self.goforward, 'rb') as f:
with self.start_utterance():
while f.readinto(buf):
self.process_raw(buf, no_search, full_utt)
return self
def segments(self, detailed=False):
if detailed:
return [
(s.word, s.prob, s.start_frame, s.end_frame)
for s in self.seg()
]
else:
return [s.word for s in self.seg()]
def hypothesis(self):
hyp = self.hyp()
if hyp:
return hyp.hypstr
else:
return ''
def probability(self):
hyp = self.hyp()
if hyp:
return hyp.prob
def score(self):
hyp = self.hyp()
if hyp:
return hyp.best_score
def best(self, count=10):
return [
(h.hypstr, h.score)
for h, i in zip(self.nbest(), range(count))
]
def confidence(self):
hyp = self.hyp()
if hyp:
return self.get_logmath().exp(hyp.prob)
class AudioFile(Pocketsphinx):
def __init__(self, **kwargs):
signal.signal(signal.SIGINT, self.stop)
self.audio_file = kwargs.pop('audio_file', None)
self.buffer_size = kwargs.pop('buffer_size', 2048)
self.no_search = kwargs.pop('no_search', False)
self.full_utt = kwargs.pop('full_utt', False)
self.keyphrase = kwargs.get('keyphrase')
self.in_speech = False
self.buf = bytearray(self.buffer_size)
super(AudioFile, self).__init__(**kwargs)
self.f = open(self.audio_file or self.goforward, 'rb')
def __iter__(self):
with self.f:
with self.start_utterance():
while self.f.readinto(self.buf):
self.process_raw(self.buf, self.no_search, self.full_utt)
if self.keyphrase and self.hyp():
with self.end_utterance():
yield self
elif self.in_speech != self.get_in_speech():
self.in_speech = self.get_in_speech()
if not self.in_speech and self.hyp():
with self.end_utterance():
yield self
def stop(self, *args, **kwargs):
raise StopIteration
class LiveSpeech(Pocketsphinx):
def __init__(self, **kwargs):
signal.signal(signal.SIGINT, self.stop)
self.audio_device = kwargs.pop('audio_device', None)
self.sampling_rate = kwargs.pop('sampling_rate', 16000)
self.buffer_size = kwargs.pop('buffer_size', 2048)
self.no_search = kwargs.pop('no_search', False)
self.full_utt = kwargs.pop('full_utt', False)
self.keyphrase = kwargs.get('keyphrase')
self.in_speech = False
self.buf = bytearray(self.buffer_size)
self.ad = Ad(self.audio_device, self.sampling_rate)
super(LiveSpeech, self).__init__(**kwargs)
def __iter__(self):
with self.ad:
with self.start_utterance():
while self.ad.readinto(self.buf) >= 0:
self.process_raw(self.buf, self.no_search, self.full_utt)
if self.keyphrase and self.hyp():
with self.end_utterance():
yield self
elif self.in_speech != self.get_in_speech():
self.in_speech = self.get_in_speech()
if not self.in_speech and self.hyp():
with self.end_utterance():
yield self
def stop(self, *args, **kwargs):
raise StopIteration
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