| 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). |