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nambn0321
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ASR_french_3

Automatic Speech Recognition
Safetensors
French
whisper
Model card Files
xet
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@@ -24,16 +24,16 @@ Click [here](https://huggingface.co/spaces/nambn0321/ASR_french) (press restart
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  - **WER (Word Error Rate):** Measures the percentage of words incorrectly predicted.
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  - **CER (Character Error Rate):** Measures the percentage of characters incorrectly predicted.
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- **Results**
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-
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- Test_set is CV17
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-
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  | Model | WER (lower is better) | CER (lower is better) |
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  |---------------------------|-----------|-----------|
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  | [**Whisper Small** (baseline)](https://huggingface.co/openai/whisper-small) | 0.3405 | 0.1680 |
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  | [**Whisper Medium** (baseline)](https://huggingface.co/openai/whisper-medium)| 0.2597 | 0.1264 |
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  | **My Model** | 0.1648 | 0.0676 |
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  # Usage
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  ```python
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  import torch
 
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  - **WER (Word Error Rate):** Measures the percentage of words incorrectly predicted.
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  - **CER (Character Error Rate):** Measures the percentage of characters incorrectly predicted.
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+ **Test_set** is CV17
 
 
 
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  | Model | WER (lower is better) | CER (lower is better) |
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  |---------------------------|-----------|-----------|
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  | [**Whisper Small** (baseline)](https://huggingface.co/openai/whisper-small) | 0.3405 | 0.1680 |
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  | [**Whisper Medium** (baseline)](https://huggingface.co/openai/whisper-medium)| 0.2597 | 0.1264 |
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  | **My Model** | 0.1648 | 0.0676 |
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+ **Test_set** is MLS
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+
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+
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  # Usage
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  ```python
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  import torch