ClipByRatio

class auglib.transform.ClipByRatio(ratio, *, soft=False, normalize=False, preserve_level=False, bypass_prob=None)[source]

Hard/soft-clip a certain fraction of the signal.

Rather than receiving a specific amplitude threshold, this function is designed to get instructed about the number of samples that are meant to be clipped, in relation to the total length of the signal. This ratio is internally translated into the amplitude threshold needed for achieving the specified intensity of the degradation. The optional argument soft triggers a soft-clipping behaviour, for which the whole waveform is warped through a cubic non-linearity, resulting in a smooth transition between the flat (clipped) regions and the rest of the waveform.

Parameters:

Examples

Clip 5% of the samples of a speech signal.

>>> import audb
>>> import audiofile
>>> import audplot
>>> import auglib
>>> transform = auglib.transform.ClipByRatio(0.05)
>>> files = audb.load_media("emodb", "wav/03a01Fa.wav", version="1.4.1")
>>> signal, sampling_rate = audiofile.read(files[0])
>>> augmented_signal = transform(signal, sampling_rate)
>>> audplot.waveform(augmented_signal)
../_images/auglib-transform-ClipByRatio-1.png

__call__()

ClipByRatio.__call__(signal, sampling_rate=None)

Apply transform to signal.

Parameters:

  • signal (numpy.ndarray) – signal to be transformed

  • sampling_rate (int) – sampling rate in Hz

Return type:

numpy.ndarray

Returns:

augmented signal

Raises:

  • ValueError – if the signal shape is not support by chosen transform parameters

  • ValueError – if sampling_rate is None, but the transform requires a sampling rate

  • RuntimeError – if the given sampling rate is incompatible with the transform

arguments

ClipByRatio.arguments

Returns arguments that are serialized.

Returns:

Dictionary of arguments and their values.

Raises:

RuntimeError – if arguments are found that are not assigned to attributes of the same name

Examples

>>> import audobject.testing
>>> o = audobject.testing.TestObject("test", point=(1, 1))
>>> o.arguments
{'name': 'test', 'point': (1, 1)}

borrowed_arguments

ClipByRatio.borrowed_arguments

Returns borrowed arguments.

Returns:

Dictionary with borrowed arguments.

from_dict()

static ClipByRatio.from_dict(d, root=None, **kwargs)
Return type:

audobject.core.object.Object

from_yaml()

static ClipByRatio.from_yaml(path_or_stream, **kwargs)
Return type:

audobject.core.object.Object

from_yaml_s()

static ClipByRatio.from_yaml_s(yaml_string, **kwargs)
Return type:

audobject.core.object.Object

hidden_arguments

ClipByRatio.hidden_arguments

Returns hidden arguments.

Returns:

List with names of hidden arguments.

id

ClipByRatio.id

Object identifier.

The ID of an object ID is created from its non-hidden arguments.

Returns:

object identifier

Examples

>>> class Foo(Object):
...     def __init__(self, bar: str):
...         self.bar = bar
>>> foo1 = Foo("I am unique!")
>>> foo1.id
'893df240-babe-d796-cdf1-c436171b7a96'
>>> foo2 = Foo("I am different!")
>>> foo2.id
'9303f2a5-bfc9-e5ff-0ffa-a9846e2d2190'
>>> foo3 = Foo("I am unique!")
>>> foo1.id == foo3.id
True

is_loaded_from_dict

ClipByRatio.is_loaded_from_dict

Check if object was loaded from a dictionary.

Returns True if object was initialized from a dictionary, e.g. after loading it from a YAML file.

Returns:

True if object was loaded from a dictionary,

otherwise False

resolvers

ClipByRatio.resolvers

Return resolvers.

Returns:

Dictionary with resolvers.

short_id

ClipByRatio.short_id

Short object identifier.

The short ID consists of eight characters and is created from its non-hidden arguments.

Returns:

short object identifier

Examples

>>> class Foo(Object):
...     def __init__(self, bar: str):
...         self.bar = bar
>>> foo1 = Foo("I am unique!")
>>> foo1.id
'893df240-babe-d796-cdf1-c436171b7a96'
>>> foo1.short_id
'171b7a96'
>>> foo2 = Foo("I am different!")
>>> foo2.short_id
'6e2d2190'
>>> foo3 = Foo("I am unique!")
>>> foo1.short_id == foo3.short_id
True

to_dict()

ClipByRatio.to_dict(*, include_version=True, flatten=False, root=None)

Converts object to a dictionary.

Includes items from audobject.Object.arguments. If an argument has a resolver, its value is encoded. Usually, the object can be re-instantiated using audobject.Object.from_dict(). However, if flatten=True, this is not possible.

Parameters:

  • include_version (bool) – add version to class name

  • flatten (bool) – flatten the dictionary

  • root (str) – if file is written to disk, set to target directory

Return type:

collections.abc.Mapping[str, typing.Union[bool, datetime.datetime, dict, float, int, list, None, str]]

Returns:

dictionary that represent the object

Examples

>>> import audobject.testing
>>> o = audobject.testing.TestObject("test", point=(1, 1))
>>> o.to_dict(include_version=False)
{'$audobject.core.testing.TestObject': {'name': 'test', 'point': [1, 1]}}
>>> o.to_dict(flatten=True)
{'name': 'test', 'point.0': 1, 'point.1': 1}

to_samples()

ClipByRatio.to_samples(value, sampling_rate=None, *, length=None, allow_negative=True)

Convert duration value to samples.

Return type:

int

to_yaml()

ClipByRatio.to_yaml(path_or_stream, *, include_version=True)

Save object to YAML file.

Parameters:

  • path_or_stream (str | io.IOBase) – file path or stream

  • include_version (bool) – add version to class name

to_yaml_s()

ClipByRatio.to_yaml_s(*, include_version=True)

Convert object to YAML string.

Parameters:

include_version (bool) – add version to class name

Return type:

str

Returns:

YAML string

Examples

>>> import audobject.testing
>>> o = audobject.testing.TestObject("test", point=(1, 1))
>>> print(o.to_yaml_s(include_version=False))
$audobject.core.testing.TestObject:
  name: test
  point:
  - 1
  - 1