Datasets:
Tasks:
Audio Classification
Sub-tasks:
keyword-spotting
Languages:
English
Size:
10K - 100K
ArXiv:
License:
soeren
commited on
Commit
·
c276b7f
1
Parent(s):
fb12e65
build functons
Browse files- speech_commands_enriched.py +18 -19
speech_commands_enriched.py
CHANGED
@@ -52,7 +52,6 @@ Version 0.01 of the data set (configuration `"v0.01"`) was released on August 3r
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In version 0.01 thirty different words were recoded: "Yes", "No", "Up", "Down", "Left",
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"Right", "On", "Off", "Stop", "Go", "Zero", "One", "Two", "Three", "Four", "Five", "Six", "Seven", "Eight", "Nine",
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"Bed", "Bird", "Cat", "Dog", "Happy", "House", "Marvin", "Sheila", "Tree", "Wow".
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This version is not yet supported.
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In version 0.02 more words were added: "Backward", "Forward", "Follow", "Learn", "Visual".
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@@ -61,6 +60,7 @@ In both versions, ten of them are used as commands by convention: "Yes", "No", "
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"Right", "On", "Off", "Stop", "Go". Other words are considered to be auxiliary (in current implementation
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it is marked by `True` value of `"is_unknown"` feature). Their function is to teach a model to distinguish core words
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from unrecognized ones.
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The `_silence_` class contains a set of longer audio clips that are either recordings or
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a mathematical simulation of noise.
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@@ -132,28 +132,28 @@ class SpeechCommandsConfig(datasets.BuilderConfig):
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class SpeechCommands(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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#SpeechCommandsConfig(
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# name="v0.01",
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# description=textwrap.dedent(
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# """\
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# Version 0.01 of the SpeechCommands dataset. Contains 30 words
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# (20 of them are auxiliary) and background noise.
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# """
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# ),
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# labels=LABELS_V1,
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# version=datasets.Version("0.1.0"),
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#),
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SpeechCommandsConfig(
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name="v0.
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description=textwrap.dedent(
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"""\
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Version 0.
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"""
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),
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labels=
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version=datasets.Version("0.
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),
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]
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def _info(self):
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@@ -267,6 +267,5 @@ class SpeechCommands(datasets.GeneratorBasedBuilder):
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#for debugging, comment out after
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if __name__ == "__main__":
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datasets.
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ds = datasets.load_dataset("speech_commands_enriched.py", 'v0.02', split="train",
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streaming=False)
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In version 0.01 thirty different words were recoded: "Yes", "No", "Up", "Down", "Left",
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"Right", "On", "Off", "Stop", "Go", "Zero", "One", "Two", "Three", "Four", "Five", "Six", "Seven", "Eight", "Nine",
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"Bed", "Bird", "Cat", "Dog", "Happy", "House", "Marvin", "Sheila", "Tree", "Wow".
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In version 0.02 more words were added: "Backward", "Forward", "Follow", "Learn", "Visual".
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"Right", "On", "Off", "Stop", "Go". Other words are considered to be auxiliary (in current implementation
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it is marked by `True` value of `"is_unknown"` feature). Their function is to teach a model to distinguish core words
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from unrecognized ones.
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+
This version is not yet supported.
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The `_silence_` class contains a set of longer audio clips that are either recordings or
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a mathematical simulation of noise.
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class SpeechCommands(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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SpeechCommandsConfig(
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name="v0.01",
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description=textwrap.dedent(
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"""\
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Version 0.01 of the SpeechCommands dataset. Contains 30 words
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(20 of them are auxiliary) and background noise.
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"""
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),
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labels=LABELS_V1,
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version=datasets.Version("0.1.0"),
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),
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#SpeechCommandsConfig(
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# name="v0.02",
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# description=textwrap.dedent(
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# """\
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# Version 0.02 of the SpeechCommands dataset.
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# Contains 35 words (25 of them are auxiliary) and background noise.
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# """
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# ),
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# labels=LABELS_V2,
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# version=datasets.Version("0.2.0"),
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#),
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]
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def _info(self):
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#for debugging, comment out after
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if __name__ == "__main__":
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ds = datasets.load_dataset("speech_commands_enriched.py", 'v0.01', split="test",
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streaming=False)
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