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5610573 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 | #!/usr/bin/env python3
"""Test the various use cases for the old abandoned
python-pocketsphinx module and its simple classes. We don't support
the truly useless parts of the API like defaulting to "goforward.raw"
as the input, and some results have changed, other than that it should
be compatible.
"""
import os
from pocketsphinx import Pocketsphinx, AudioFile, NGramModel, Jsgf
from unittest import TestCase, main
MODELDIR = os.path.join(os.path.dirname(__file__), "../../model")
DATADIR = os.path.join(os.path.dirname(__file__), "../../test/data")
class TestAudioFile(TestCase):
def test_audiofile_raw(self):
hypothesis = ""
for phrase in AudioFile(audio_file=os.path.join(DATADIR, "goforward.raw")):
hypothesis = str(phrase)
self.assertEqual(hypothesis, "go forward ten meters")
class TestRawDecoder(TestCase):
def setUp(self):
self.ps = Pocketsphinx(
hmm=os.path.join(MODELDIR, "en-us/en-us"),
lm=os.path.join(MODELDIR, "en-us/en-us.lm.bin"),
dict=os.path.join(MODELDIR, "en-us/cmudict-en-us.dict"),
)
self.ps.decode(os.path.join(DATADIR, "goforward.raw"))
def test_raw_decoder_lookup_word(self):
self.assertEqual(self.ps.lookup_word("hello"), "HH AH L OW")
self.assertEqual(self.ps.lookup_word("abcdf"), None)
def test_raw_decoder_hypothesis(self):
self.assertEqual(self.ps.hypothesis(), "go forward ten years")
self.assertEqual(self.ps.score(), -8237)
self.assertAlmostEqual(self.ps.confidence(), 0.01, 3)
def test_raw_decoder_segments(self):
self.assertEqual(
self.ps.segments(),
["<s>", "go", "forward", "ten", "years", "</s>"],
)
def test_raw_decoder_best_hypothesis(self):
self.assertEqual(
self.ps.best(),
[
("go forward ten years", -28492),
("go forward ten meters", -28547),
("go for word ten meters", -29079),
("go forward ten liters", -29084),
("go forward ten leaders", -29098),
("go forward can meters", -29174),
("go for word ten years", -29216),
("go forward ten readers", -29254),
("go for work ten meters", -29259),
("go forward can leaders", -29261),
],
)
class TestCepDecoder(TestCase):
def test_cep_decoder_hypothesis(self):
ps = Pocketsphinx(
hmm=os.path.join(MODELDIR, "en-us/en-us"),
lm=os.path.join(MODELDIR, "en-us/en-us.lm.bin"),
dict=os.path.join(MODELDIR, "en-us/cmudict-en-us.dict"),
verbose=True,
)
with open(os.path.join(DATADIR, "goforward.mfc"), "rb") as f:
with ps.start_utterance():
f.read(4)
buf = f.read(13780)
ps.process_cep(buf, False, True)
self.assertEqual(ps.hypothesis(), "go forward ten meters")
self.assertEqual(ps.score(), -7103)
self.assertEqual(ps.probability(), -33134)
class TestJsgf(TestCase):
def test_jsgf(self):
ps = Pocketsphinx(
hmm=os.path.join(MODELDIR, "en-us/en-us"),
lm=os.path.join(DATADIR, "turtle.lm.bin"),
dic=os.path.join(DATADIR, "turtle.dic"),
)
# Decoding with 'turtle' language model
ps.decode(os.path.join(DATADIR, "goforward.raw"))
self.assertEqual(ps.hypothesis(), "go forward ten meters")
# Switch to JSGF grammar
jsgf = Jsgf(os.path.join(DATADIR, "goforward.gram"))
rule = jsgf.get_rule("goforward.move2")
fsg = jsgf.build_fsg(rule, ps.get_logmath(), 7.5)
ps.add_fsg("goforward", fsg)
ps.activate_search("goforward")
# Decoding with 'goforward' grammar
ps.decode(os.path.join(DATADIR, "goforward.raw"))
self.assertEqual(ps.hypothesis(), "go forward ten meters")
class TestKws(TestCase):
def test_kws(self):
segments = []
for phrase in AudioFile(
os.path.join(DATADIR, "goforward.raw"),
lm=None,
keyphrase="forward",
kws_threshold=1e20,
):
segments = phrase.segments(detailed=True)
self.assertEqual(segments, [("forward", -706, 63, 121)])
def test_kws_badapi(self):
segments = []
for phrase in AudioFile(
audio_file=os.path.join(DATADIR, "goforward.raw"),
lm=False, # Make sure this still works
keyphrase="forward",
kws_threshold=1e20,
):
segments = phrase.segments(detailed=True)
self.assertEqual(segments, [("forward", -706, 63, 121)])
class TestLm(TestCase):
def test_lm(self):
ps = Pocketsphinx(
hmm=os.path.join(MODELDIR, "en-us/en-us"),
lm=os.path.join(MODELDIR, "en-us/en-us.lm.bin"),
dic=os.path.join(DATADIR, "defective.dic"),
)
# Decoding with 'defective' dictionary
ps.decode(os.path.join(DATADIR, "goforward.raw"))
self.assertEqual(ps.hypothesis(), "")
# Switch to 'turtle' language model
turtle_lm = os.path.join(DATADIR, "turtle.lm.bin")
lm = NGramModel(ps.get_config(), ps.get_logmath(), turtle_lm)
ps.add_lm("turtle", lm)
ps.activate_search("turtle")
# Decoding with 'turtle' language model
ps.decode(os.path.join(DATADIR, "goforward.raw"))
self.assertEqual(ps.hypothesis(), "")
# The word 'meters' isn't in the loaded dictionary
# Let's add it manually
ps.add_word("foobie", "F UW B IY", False)
ps.add_word("meters", "M IY T ER Z", True)
# Decoding with 'turtle' language model
ps.decode(os.path.join(DATADIR, "goforward.raw"))
self.assertEqual(ps.hypothesis(), "foobie meters meters")
class TestPhoneme(TestCase):
def setUp(self):
self.ps = Pocketsphinx(
allphone=os.path.join(MODELDIR, "en-us/en-us-phone.lm.bin"),
lw=2.0,
pip=0.3,
beam=1e-200,
pbeam=1e-20,
)
self.ps.decode(os.path.join(DATADIR, "goforward.raw"))
def test_phoneme_hypothesis(self):
self.assertEqual(
self.ps.hypothesis(), "SIL G OW F AO R D T AE N NG IY ZH ER S SIL"
)
def test_phoneme_best_phonemes(self):
self.assertEqual(
self.ps.segments(),
[
"SIL",
"G",
"OW",
"F",
"AO",
"R",
"D",
"T",
"AE",
"N",
"NG",
"IY",
"ZH",
"ER",
"S",
"SIL",
],
)
if __name__ == "__main__":
main(verbosity=2)
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