gives True if audio sounds to be an instance of the object obj, and gives False otherwise.


assumes that audio is the sound of something in the category cat.

Details and Options

  • AudioInstanceQ tries to identify whether an audio signal is an instance of a given category.
  • Possible forms for both object obj and category cat are:
  • "class"named sound class, as used in "Sound" entities
    Entity[]any appropriate entity
    instance1|instance2|any of the instancei
  • The following options can be given:
  • AcceptanceThreshold Automaticminimum probability to consider acceptable
    Masking Allinterval of interest
    PerformanceGoalAutomaticwhat to optimize in the identification
    RecognitionPrior 0.5prior probability for a True result
    TargetDevice"CPU"the target device on which to compute
  • AudioInstanceQ uses machine learning. Its methods, training sets and biases included therein may change and yield varied results in different versions of the Wolfram Language.
  • AudioInstanceQ may download resources that will be stored in your local object store at $LocalBase, and can be listed using LocalObjects[] and removed using ResourceRemove.


open allclose all

Basic Examples  (2)

Test whether an audio signal is an instance of a particular object:

Test whether an audio signal is an instance of either of the given categories:

Scope  (1)

By default, no assumptions are made about the sound category of the audio signal:

Assume that the audio signal belongs to a specific sound category:

Assume that the audio signal belongs to a specific set of sound categories:

Options  (3)

AcceptanceThreshold  (1)

By default, an automatic acceptance threshold is used:

Specify the acceptance threshold:

Masking  (1)

By default, the entire audio signal is checked for the specified object:

Restrict the test to a specific interval:

RecognitionPrior  (1)

The default RecognitionPrior is 0.5:

Assign a very low prior probability to the object to be tested for:

Applications  (2)

Find all recordings in the ExampleData collection that are recognized as a musical instrument:

Find other sounds that are similar to a recording:

Compute an object identification using AudioIdentify:

Find sounds with the same identification in the ExampleData collection:

Compute a list of more general objects using the broader sound property of Entity objects:

Find sounds within broader categories:

Compute a larger list of related sounds using AudioIdentify:

Find similar sounds among the ExampleData collection:

Properties & Relations  (2)

AudioInstanceQ and AudioIdentify offer complementary functionality:

Compute the most probable object identification:

Pass the identification to AudioInstanceQ:

Get the probability associated with the identification:

The minimum acceptable probability corresponds to the confidence in the original identification:

Specifying a minimum acceptable probability for the tested-for object will have no effect if the tested-for object does not belong to one of the assumed categories, if specified.

Test whether a recording of an acoustic guitar is an animal:

Specify a very low acceptable threshold:

Test whether the recording is a guitar, assuming that it belongs to the category of animal sounds:

Specifying a very low acceptance threshold will not yield a match since a "guitar" sound is not in the "animal" category:

Wolfram Research (2020), AudioInstanceQ, Wolfram Language function,


Wolfram Research (2020), AudioInstanceQ, Wolfram Language function,


Wolfram Language. 2020. "AudioInstanceQ." Wolfram Language & System Documentation Center. Wolfram Research.


Wolfram Language. (2020). AudioInstanceQ. Wolfram Language & System Documentation Center. Retrieved from


@misc{reference.wolfram_2024_audioinstanceq, author="Wolfram Research", title="{AudioInstanceQ}", year="2020", howpublished="\url{}", note=[Accessed: 30-May-2024 ]}


@online{reference.wolfram_2024_audioinstanceq, organization={Wolfram Research}, title={AudioInstanceQ}, year={2020}, url={}, note=[Accessed: 30-May-2024 ]}