# AI-labelled Audio Events

Source: https://speechmatics-website-git-preview-speechmatics.vercel.app/product/audio-events

Improve efficiency and accessibility by identifying and labelling non-speech sounds in audio and video, using AI. 

Improve accessibility & fully-automate tedious captioning by identifying and labelling non-speech sounds in media, using AI.

- [Speak to sales](https://speechmatics-website-git-preview-speechmatics.vercel.app/speak-to-sales)
- [See our docs](https://docs.speechmatics.com/features/audio-events)

## Effortless inclusivity

Integrate Audio Events into your product with a single API call, and create inclusive content.

### Increase accessibility

Use cutting edge AI to pave the way for more inclusive and accessible media content across the globe.

### Reduce effort

Capture and transcribe both verbal and non-speech sounds such as music, laughter, and applause, with a single API call.

### Automate everything

Create inclusive media at scale with fully automated caption generation, giving your audience the full spectrum of auditory experiences.

## Understanding more than speech

There is [more to understanding speech](https://speechmatics-website-git-preview-speechmatics.vercel.app/company/articles-and-news/audio-events-a-step-into-understanding-more-than-words) than just transcribing the words spoken.

### AI-powered

Ground-breaking technology identifying audio events within media, including timings. Available across batch transcription, and real-time modes for both SaaS and on-prem deployments

### Three classes of audio event

Three primary audio classes are detected: music, laughter, and applause. These were chosen for their significant impact on audience experience.

## Useful across industries

### Use Case — Media

Create inclusive content and stay compliant without the high costs and time-consuming processes associated with generating accurate and comprehensive media captions.

- [Media Distribution & Captioning](https://speechmatics-website-git-preview-speechmatics.vercel.app/use-cases/media-distribution-and-captioning)

### Use Case — Media Intelligence

Automatically detect when music is playing on radio or television channels. Identify laughter and applause to gain additional insights into the reactions to the media content.

- [Media Intelligence](https://www.speechmatics.com/use-cases/media-monitoring)

### Blog — Understanding more than just words

Discover how Audio Events can transform your content analysis, media analytics and accessibility efforts.

- [Audio events blog](https://www.speechmatics.com/company/articles-and-news/audio-events-a-step-into-understanding-more-than-words)
- Rohan Sarin — Product Manager (ML)

## **Feel ready to give some [Applause]?**

Get in touch with our team to find out more about integrating Audio Events into your product.

- [Speak to sales](https://speechmatics-website-git-preview-speechmatics.vercel.app/speak-to-sales)
- [See our docs](https://docs.speechmatics.com/features/audio-events)

## FAQs

### How much does it cost?

This feature is available for all customers at no extra cost.

### What deployments are Audio Events available on?

It is available for batch and real-time modes for both SaaS and on-prem deployments.

### What audio events are supported?

Music, laughter, and applause.

### Do you have any further information on audio events?

Of course!

Check out [our blog](https://www.speechmatics.com/company/articles-and-news/audio-events-a-step-into-understanding-more-than-words) revealing how the Audio Events feature can transform your content analysis, media analytics and accessibility efforts.