| | --- |
| | license: apache-2.0 |
| | library_name: unity-sentis |
| | pipeline_tag: automatic-speech-recognition |
| | tags: |
| | - unity-inference-engine |
| | --- |
| | |
| | # Whisper-Tiny model in Unity 6 with Inference Engine |
| |
|
| | This is the [Whisper Tiny](https://huggingface.co/openai/whisper-tiny) model running in Unity 6 with Inference Engine. It is a speech-to-text model that transcribes 16kHz wav audio to text. |
| |
|
| | ## How to Use |
| |
|
| | * Create a new scene in Unity 6; |
| | * Install `com.unity.ai.inference` from the package manager; |
| | * Install `com.unity.nuget.newtonsoft-json` from the package manager; |
| | * Add the `RunWhisper.cs` script to the Main Camera; |
| | * Drag the `decoder_model.onnx` asset from the `models` folder into the `Audio Decoder 1` field; |
| | * Drag the `decoder_with_past_model.onnx` asset from the `models` folder into the `Audio Decoder 2` field; |
| | * Drag the `encoder_model.onnx` asset from the `models` folder into the `Audio Encoder` field; |
| | * Drag the `logmel_spectrogram.onnx` asset from the `models` folder into the `Log Mel Spectro` field; |
| | * Drag the `vocab.json` asset from the `data` folder into the `Vocab Asset` field; |
| | * Drag an audio asset, e.g. `data/answering-machine16kHz.wav` to the `Audio Clip` field. Ensure the `Normalize` flag is set on asset import for best results. |
| |
|
| | ## Preview |
| | Enter play mode. If working correctly the transcribed audio will be logged to the console. |
| |
|
| | ## Inference Engine |
| | Inference Engine is a neural network inference library for Unity. Find out more [here](https://docs.unity3d.com/Packages/com.unity.ai.inference@latest). |
