Inference Providers

Audio Classification

Audio classification is the task of assigning a label or class to a given audio.

Example applications:

• Recognizing which command a user is giving
• Identifying a speaker
• Detecting the genre of a song

For more details about the audio-classification task, check out its dedicated page! You will find examples and related materials.

Recommended models

Explore all available models and find the one that suits you best here.

Using the API

There are currently no snippet examples for the audio-classification task, as no providers support it yet.

API specification

Request

Headers
authorization	string	Authentication header in the form 'Bearer: hf_****' when hf_**** is a personal user access token with “Inference Providers” permission. You can generate one from your settings page.

Payload
inputs*	string	The input audio data as a base64-encoded string. If no parameters are provided, you can also provide the audio data as a raw bytes payload.
parameters	object
function_to_apply	enum	Possible values: sigmoid, softmax, none.
top_k	integer	When specified, limits the output to the top K most probable classes.

Response

Body
(array)	object[]	Output is an array of objects.
label	string	The predicted class label.
score	number	The corresponding probability.

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