AudioIdentify [audio]
yields the result of attempting to identify what audio is a recording of.
AudioIdentify [audio,category]
restricts the identification to the specified category.
AudioIdentify [audio,category,n]
gives a list of up to n possible identifications.
AudioIdentify [audio,category,n,"prop"]
gives the specified property for each identification.
AudioIdentify
AudioIdentify [audio]
yields the result of attempting to identify what audio is a recording of.
AudioIdentify [audio,category]
restricts the identification to the specified category.
AudioIdentify [audio,category,n]
gives a list of up to n possible identifications.
AudioIdentify [audio,category,n,"prop"]
gives the specified property for each identification.
Details and Options
- Audio identification, also known as audio classification, attempts to identify the sounds in an audio recording.
- AudioIdentify [{audio1,audio2,…},…] can be used to identify objects in multiple audio objects.
- In AudioIdentify [audio,category], possible forms for category include:
-
"class" named sound class, as used in "Sound" entitiescategory1|category2|… any of the categoryi
- By default, AudioIdentify [audio] returns objects of the form Entity ["Sound",…].
- The property "prop" can be one of the following:
-
"Probability" an association of concepts and probabilities"Sound" a sound entity object"prop" a property supported by "Sound" entities{prop1,…} a list of property specifications
- The following options can be given:
-
TargetDevice "CPU" the target device on which to evaluate
- Possible settings for PerformanceGoal include "Speed" and "Quality".
- Possible settings for SpecificityGoal include:
-
"Low" favor general categories of objects"High" favor specific kinds of objectss specificity between 0 (lowest) and 1 (highest)
- When no identification is found at an acceptable level, as specified by AcceptanceThreshold , AudioIdentify returns Missing ["Unidentified"].
- AudioIdentify uses machine learning. Its methods, training sets and biases included therein may change and yield varied results in different versions of the Wolfram Language.
- AudioIdentify may download resources that will be stored in your local object store at $LocalBase and can be listed using LocalObjects [] and removed using ResourceRemove .
Examples
open all close allBasic Examples (2)
Identify the sound in a recording:
Return a list of identifications:
Scope (3)
Identify the sound class in a recording:
Make an identification in a specific category of sounds:
Make an identification in any of several categories of sounds:
Get several identifications:
Returned identifications are the lesser of the number of positive identifications and the requested number:
Get probabilities for each identification:
Class probabilities are independent, since multiple sources may be present in a single recording.
Options (4)
AcceptanceThreshold (2)
Use AcceptanceThreshold to control the confidence of the returned result:
Increase the threshold to get only high-probability identifications:
AcceptanceThreshold is also used when getting multiple identifications:
Lower the threshold to get more results:
Masking (1)
Audio recordings that contain various sounds can result in confusing identifications:
Use the masking option to identify only specific regions in a signal:
SpecificityGoal (1)
Use the SpecificityGoal option to control the generality of the result:
Applications (3)
Identify all the sounds in the ExampleData collection:
Get multiple identifications and probabilities on a signal containing various sounds:
Make identifications over 1-second intervals using AudioBlockMap :
Merge the intervals with the same identifications:
Plot the result:
Using WebAudioSearch , construct a small database of animal sounds:
Use FeatureSpacePlot to visualize the signals embedded in a semantically significant 2D space:
Define a function to identify the signals exclusively as animal sounds:
Generate a WordCloud with the results of the recognitions:
Properties & Relations (1)
The neural net used by AudioIdentify can be accessed using NetModel :
Related Guides
History
Text
Wolfram Research (2019), AudioIdentify, Wolfram Language function, https://reference.wolfram.com/language/ref/AudioIdentify.html.
CMS
Wolfram Language. 2019. "AudioIdentify." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/AudioIdentify.html.
APA
Wolfram Language. (2019). AudioIdentify. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/AudioIdentify.html
BibTeX
@misc{reference.wolfram_2025_audioidentify, author="Wolfram Research", title="{AudioIdentify}", year="2019", howpublished="\url{https://reference.wolfram.com/language/ref/AudioIdentify.html}", note=[Accessed: 16-November-2025]}
BibLaTeX
@online{reference.wolfram_2025_audioidentify, organization={Wolfram Research}, title={AudioIdentify}, year={2019}, url={https://reference.wolfram.com/language/ref/AudioIdentify.html}, note=[Accessed: 16-November-2025]}