## 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

> [!TIP]
> For more details about the `audio-classification` task, check out its [dedicated page](https://huggingface.co/tasks/audio-classification)! You will find examples and related materials.

### Recommended models

Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=audio-classification&sort=trending).

### 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](https://huggingface.co/settings/tokens/new?ownUserPermissions=inference.serverless.write&tokenType=fineGrained). |

| 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. |