Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/gtreshchev/RuntimeAudioImporter

Runtime Audio Importer plugin for Unreal Engine. Importing audio of various formats at runtime.
https://github.com/gtreshchev/RuntimeAudioImporter

audio audio-converter audio-files audio-formats audio-player bink blueprints mp3 mp3-player plugin ue4 ue4-plugin ue5 ue5-plugin unreal-engine unreal-engine-4 unreal-engine-5 unrealengine vad voice-activity-detection

Last synced: about 1 month ago
JSON representation

Runtime Audio Importer plugin for Unreal Engine. Importing audio of various formats at runtime.

Awesome Lists containing this project

README

        

![License](https://img.shields.io/badge/license-MIT-brightgreen.svg)
![Discord](https://img.shields.io/discord/1055168498919284786.svg?label=Discord&logo=discord&color=7289DA&labelColor=2C2F33)
![Unreal Engine](https://img.shields.io/badge/Unreal-4.24%2B-dea309)





Logo

Runtime Audio Importer


Importing audio of various formats at runtime




Explore the docs »




Marketplace
.
Releases


Discord support chat

## Features

- Fast transcoding speed
- Supported for major audio formats: MP3, WAV, FLAC, OGG Vorbis and BINK
- Supported for RAW formats: int8, uint8, int16, uint16, int32, uint32, float32
- Same behavior as regular sound wave, including SoundCue, MetaSounds (starting from 5.3), etc
- Automatic detection of audio format
- Audio streaming functionality
- Audio capturing from input devices (eg microphone), including within Pixel Streaming context
- Voice Activity Detection (VAD)
- Exporting a sound wave to a separate file
- Pre-imported sound assets
- No static libraries or external dependencies
- Cross-platform compatibility (Windows, Mac, Linux, Android, iOS, etc)

## Additional information

MP3, WAV, and FLAC audio transcoding operations are powered by [dr_libs](https://github.com/mackron/dr_libs) and [minimp3](https://github.com/lieff/minimp3).

VAD (Voice Activity Detection) is powered by [libfvad](https://github.com/dpirch/libfvad).

## Like my work?

Consider [supporting me](https://ko-fi.com/georgydev). Hire me at [[email protected]](mailto:[email protected]).