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@@ -72,18 +72,6 @@ The raw corpora were normalized and cleaned using custom Python scripts. Key ste
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  - Normalizing diacritics and fixing broken Unicode characters
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  - Manual filtering of misaligned or low-quality samples
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- ## Reproducibility
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- All preprocessing scripts and data creation pipelines are publicly available in the companion GitHub repository:
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- [ATC ASR Dataset Preparation Toolkit (GitHub)](https://github.com/jack-tol/atc-asr-dataset-preparation-toolkit)
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- This includes:
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-
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- - Scripts to process raw UWB, ATCO2, and ATCC datasets
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- - Tools for combining, splitting, and augmenting data
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- - Upload scripts for Hugging Face dataset integration
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-
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  ## Usage
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  1. **Install Dependencies**:
@@ -96,6 +84,18 @@ This includes:
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  2. **Training**:
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  The dataset is ready for speech recognition tasks such as fine-tuning Whisper models. It includes training and test splits to evaluate models based on Word Error Rate (WER).
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  ## References
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  - [ATC ASR_Dataset (Combined and Cleaned Dataset on Hugging Face)](https://huggingface.co/datasets/jacktol/ATC_ASR_Dataset)
 
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  - Normalizing diacritics and fixing broken Unicode characters
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  - Manual filtering of misaligned or low-quality samples
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  ## Usage
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  1. **Install Dependencies**:
 
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  2. **Training**:
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  The dataset is ready for speech recognition tasks such as fine-tuning Whisper models. It includes training and test splits to evaluate models based on Word Error Rate (WER).
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+ ## Reproducibility
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+
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+ All preprocessing scripts and data creation pipelines are publicly available in the companion GitHub repository:
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+
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+ [ATC ASR Dataset Preparation Toolkit (GitHub)](https://github.com/jack-tol/atc-asr-dataset-preparation-toolkit)
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+
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+ This includes:
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+
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+ - Scripts to process raw UWB, ATCO2, and ATCC datasets
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+ - Tools for combining, splitting, and augmenting data
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+ - Upload scripts for Hugging Face dataset integration
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+
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  ## References
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  - [ATC ASR_Dataset (Combined and Cleaned Dataset on Hugging Face)](https://huggingface.co/datasets/jacktol/ATC_ASR_Dataset)