jacktol commited on
Commit
4dd192e
·
verified ·
1 Parent(s): 6aa62c3

updated readme

Browse files
Files changed (1) hide show
  1. README.md +75 -0
README.md CHANGED
@@ -29,3 +29,78 @@ configs:
29
  - split: test
30
  path: data/test-*
31
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
29
  - split: test
30
  path: data/test-*
31
  ---
32
+
33
+ # ATC_ASR_Dataset
34
+
35
+ **ATC_ASR_Dataset** is a high-quality, fine-tuning-ready speech recognition dataset constructed from two real-world Air Traffic Control (ATC) corpora: the [UWB ATC Corpus](https://lindat.mff.cuni.cz/repository/xmlui/handle/11858/00-097C-0000-0001-CCA1-0) and the [ATCO2 1-Hour Test Subset](https://www.replaywell.com/atco2/download/ATCO2-ASRdataset-v1_beta.tgz).
36
+
37
+ The dataset consists of cleanly segmented `audio + transcript` pairs at the utterance level, specifically curated for Automatic Speech Recognition (ASR) training and fine-tuning in the ATC domain.
38
+
39
+ ## Contents
40
+
41
+ This dataset includes:
42
+
43
+ - Audio files (`.wav`, 16kHz mono) of individual ATC utterances
44
+ - Transcripts (`.txt`) aligned with each audio file
45
+ - Training, validation, and test splits
46
+ - Augmented training set (50% of utterances expanded with synthetic noise, pitch shift, or bandpass filtering)
47
+
48
+ ## Use Cases
49
+
50
+ This dataset is ideal for:
51
+
52
+ - Training ASR models specialized in aviation communication
53
+ - Benchmarking domain-adapted speech recognition systems
54
+ - Studying accented and noisy English in operational ATC environments
55
+
56
+ ## Source Datasets
57
+
58
+ This dataset combines data from:
59
+
60
+ - **[UWB ATC Corpus](https://lindat.mff.cuni.cz/repository/xmlui/handle/11858/00-097C-0000-0001-CCA1-0)**
61
+ ~20 hours of ATC speech recorded over Czech airspace, featuring heavily accented English, transcription inconsistencies, and realistic code-switching artifacts.
62
+
63
+ - **[ATCO2 1-Hour Test Subset](https://www.replaywell.com/atco2/download/ATCO2-ASRdataset-v1_beta.tgz)**
64
+ A publicly released evaluation slice from the larger ATCO2 corpus, featuring diverse ATC environments, speaker accents, and acoustic conditions.
65
+
66
+ ## Cleaning & Preprocessing
67
+
68
+ The raw corpora were normalized and cleaned using custom Python scripts. Key steps included:
69
+
70
+ - Segmenting long audio files into utterance-level clips using timestamps
71
+ - Uppercasing all transcripts for uniformity
72
+ - Converting digits to words (e.g., `350` → `THREE FIVE ZERO`)
73
+ - Expanding letters to phonetic alphabet equivalents (e.g., `N` → `NOVEMBER`)
74
+ - Removing non-English, unintelligible, or corrupted segments
75
+ - Normalizing diacritics and fixing broken Unicode characters
76
+ - Manual filtering of misaligned or low-quality samples
77
+ - Augmenting 50% of training data with offline audio transformations
78
+
79
+ ## Reproducibility
80
+
81
+ All preprocessing scripts and data creation pipelines are publicly available in the companion GitHub repository:
82
+
83
+ [ATC ASR Dataset Preparation Toolkit (GitHub)](https://github.com/jack-tol/atc-asr-dataset-preparation-toolkit)
84
+
85
+ This includes:
86
+
87
+ - Scripts to process raw UWB, ATCO2, and ATCC datasets
88
+ - Tools for combining, splitting, and augmenting data
89
+ - Upload scripts for Hugging Face dataset integration
90
+
91
+ ## References
92
+
93
+ - [ATC_ASR_Dataset (Combined and Cleaned Dataset on Hugging Face)](https://huggingface.co/datasets/jacktol/ATC_ASR_Dataset)
94
+ - [ATC ASR Dataset Preparation Toolkit (GitHub Repository)](https://github.com/jack-tol/atc-asr-dataset-preparation-toolkit)
95
+ - [ATCC Corpus (LDC94S14A, Raw)](https://catalog.ldc.upenn.edu/LDC94S14A)
96
+ - [ATCO2 1-Hour Test Subset (Raw)](https://www.replaywell.com/atco2/download/ATCO2-ASRdataset-v1_beta.tgz)
97
+ - [Juan Pablo Zuluaga – UWB ATC Dataset on GitHub](https://github.com/idiap/atco2-corpus/tree/main/data/databases/uwb_atcc)
98
+ - [Juan Pablo Zuluaga – UWB ATC Dataset on Hugging Face](https://huggingface.co/datasets/Jzuluaga/uwb_atcc)
99
+ - [UWB ATC Corpus (Raw)](https://lindat.mff.cuni.cz/repository/xmlui/handle/11858/00-097C-0000-0001-CCA1-0)
100
+
101
+ ## Citation
102
+
103
+ If you use this dataset, please cite the original UWB and ATCO2 corpora where appropriate.
104
+ For data processing methodology and code, reference the [ATC ASR Dataset Preparation Toolkit](https://github.com/jack-tol/atc-asr-dataset-preparation-toolkit).
105
+
106
+ Mentioning or linking to this Hugging Face dataset page helps support transparency and future development of open ATC ASR resources.