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README.md
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@@ -31,8 +31,8 @@ Welcome to Team 3's Tone Evaluation project! This repository contains the necess
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- Use this script to evaluate the performance of our trained model on test data.
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- Currenty, we set the model to only accepct wav format audio, and after loading the audio, model will predict the tone sequence for the sentence.
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- **UI Demo**: [
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- You can upload wav format audio to our UI and see the evaluation result. We also provided some audio files for you to directly use.
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## Dataset
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## Getting Started
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1. Clone this repository to your local machine.
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2. Run the data processing script: `python data_processing.py`
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- Use this script to evaluate the performance of our trained model on test data.
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- Currenty, we set the model to only accepct wav format audio, and after loading the audio, model will predict the tone sequence for the sentence.
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- **UI Demo**: [app.py](https://huggingface.co/spaces/CS5647Team3/Mandarin_Tone_Evaluation/blob/main/app.py)
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- Run this file to explore the user interface demo to interact with the tone evaluation model.
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- You can upload wav format audio to our UI and see the evaluation result. We also provided some audio files for you to directly use.
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## Dataset
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## Getting Started
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To directly view the UI demo, just go to our space and click "App" tab on the top right.
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Otherwise, follow these steps to get started with our project:
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1. Clone this repository to your local machine.
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2. Run the data processing script: `python data_processing.py`
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