Datasets:

Jzuluaga
/

atcosim_corpus

id stringlengths 32 32	text stringlengths 2 302	segment_end_time float32 0.14 38.9	duration float32 0.14 38.9
atcosim_sm1_01_001_000000_000329	psa eight one zero turn right to trasadingen	3.3	3.3
atcosim_sm1_01_002_000000_000466	lufthansa five three one eight contact zurich one three four decimal six	4.66	4.66
atcosim_sm1_01_003_000000_000422	psa eight one zero contact zurich one three three decimal four	4.23	4.23
atcosim_sm1_01_004_000000_000264	sabena four eight one rhein identified	2.64	2.64
atcosim_sm1_01_005_000000_000391	transwede one zero one rhein identified set course trasadingen	3.91	3.91
atcosim_sm1_01_006_000000_000368	india oscar kilo contact rhein one two seven three seven	3.68	3.68
atcosim_sm1_01_007_000000_000430	trans avia three eight one zurich radar one three four decimal six	4.3	4.3
atcosim_sm1_01_008_000000_000254	speed bird one five six rhein identified	2.54	2.54
atcosim_sm1_01_009_000000_000322	swiss air nine three five two rhein identified	3.23	3.23
atcosim_sm1_01_010_000000_000273	sabena four eight one turn left to dinkelsbuhl	2.73	2.73
atcosim_sm1_01_011_000000_000577	swiss air nine three five two climb flight level three five zero set course to gotil	5.78	5.78
atcosim_sm1_01_012_000000_000721	lufthansa eight two six eight rhein identified set course trasadingen climb flight level two seven zero	7.21	7.21
atcosim_sm1_01_013_000000_000378	sabena eight three eight rhein identified direct to gotil	3.78	3.78
atcosim_sm1_01_014_000000_000434	speed bird one five six contact rhein one two seven three seven	4.35	4.35
atcosim_sm1_01_015_000000_000486	foxtrot sierra india rhein identified climb flight level two six zero	4.86	4.86
atcosim_sm1_01_016_000000_000539	transwede one zero one proceed direct to hochwald thereafter st prex	5.39	5.39
atcosim_sm1_01_017_000000_000254	foxtrot sierra india report heading	2.55	2.55
atcosim_sm1_01_018_000000_000237	roger turn left heading one eight five	2.38	2.38
atcosim_sm1_01_019_000000_000406	india tango alfa sierra alfa rhein identified	4.07	4.07
atcosim_sm1_01_020_000000_000421	sabena four eight one contact rhein one three two decimal four	4.21	4.21
atcosim_sm1_01_021_000000_000409	india sierra alfa turn one five degrees to the left	4.1	4.1
atcosim_sm1_01_022_000000_000910	hapag lloyd six five three rhein identified climb flight level two seven zero	9.1	9.1
atcosim_sm1_01_023_000000_000414	swiss air nine three five two rhein one two seven decimal three seven	4.14	4.14
atcosim_sm1_01_024_000000_000490	lufthansa eight two six eight climb flight level two nine zero	4.9	4.9
atcosim_sm1_01_025_000000_000348	foxtrot sierra india climb flight level two seven zero	3.48	3.48
atcosim_sm1_01_026_000000_000479	hapag lloyd six five three climb flight level two nine zero set course trasadingen	4.8	4.8
atcosim_sm1_01_027_000000_000199	malaysian two rhein identified	2	2
atcosim_sm1_01_028_000000_000603	foxtrot sierra india turn left heading one seven five climb flight level three seven zero	6.03	6.03
atcosim_sm1_01_029_000000_000335	india sierra alfa turn right to frankfurt	3.36	3.36
atcosim_sm1_01_030_000000_000406	sabena eight three eight contact rhein one two seven three seven	4.06	4.06
atcosim_sm1_01_031_000000_000334	swiss air six five two zero rhein do you read	3.35	3.35
atcosim_sm1_01_032_000000_000441	lufthansa eight two six eight contact zurich one three four decimal six	4.42	4.42
atcosim_sm1_01_033_000000_000349	constellation two two five one rhein identified	3.49	3.49
atcosim_sm1_01_034_000000_000402	transwede one zero one contact zurich one three three decimal four	4.03	4.03
atcosim_sm1_01_035_000000_000274	foxtrot sierra india set course to trasadingen	2.75	2.75
atcosim_sm1_01_036_000000_000236	foxtrot sierra india report rate of climb	2.37	2.37
atcosim_sm1_01_037_000000_000199	roger keep this rate until reaching	2	2
atcosim_sm1_01_038_000000_000406	swiss air six five two zero rhein radar do you read	4.07	4.07
atcosim_sm1_01_039_000000_000375	foxtrot sierra india contact zurich one three three decimal four	3.75	3.75
atcosim_sm1_01_040_000000_000328	olympic one four four rhein identified	3.29	3.29
atcosim_sm1_01_041_000000_000380	malaysian two contact rhein one two seven three seven	3.8	3.8
atcosim_sm1_01_042_000000_000364	georgia air rhein radar identified	3.65	3.65
atcosim_sm1_01_043_000000_000288	sobelair two five five seven rhein identified	2.88	2.88
atcosim_sm1_01_044_000000_002060	klm three hundred kilo rhein identified	20.6	20.6
atcosim_sm1_01_045_000000_000142	station calling say again	1.43	1.43
atcosim_sm1_01_046_000000_000285	transwede one zero seven rhein identified	2.85	2.85
atcosim_sm1_01_047_000000_000393	india sierra alfa contact rhein one two seven three seven	3.93	3.93
atcosim_sm1_01_048_000000_001924	alitalia one one seven rhein identified olympic one four four request your heading	19.24	19.24
atcosim_sm1_01_049_000000_000499	olympic one four four turn left heading one one five for separation	5	5
atcosim_sm1_01_050_000000_000296	jetset eight one seven rhein identified	2.97	2.97
atcosim_sm1_01_051_000000_000453	constellation two two five one contact rhein one three two decimal four	4.54	4.54
atcosim_sm1_01_052_000000_000317	air malta zero zero four rhein radar identified	3.18	3.18
atcosim_sm1_01_053_000000_000314	olympic one four four set course direct to tango	3.15	3.15
atcosim_sm1_01_054_000000_000329	sobelair two five five seven request heading	3.3	3.3
atcosim_sm1_01_055_000000_000393	sobelair two five five seven turn left heading one one zero separation	3.94	3.94
atcosim_sm1_01_056_000000_000436	georgia zero three seven contact rhein one two seven three seven	4.37	4.37
atcosim_sm1_01_057_000000_000317	viva five eight five rhein radar identified	3.18	3.18
atcosim_sm1_01_058_000000_000445	air malta zero zero four for separation descend flight level three one zero	4.46	4.46
atcosim_sm1_01_059_000000_000438	jetset eight one seven contact rhein one two seven decimal three seven	4.38	4.38
atcosim_sm1_01_060_000000_000282	klm two six four rhein identified	2.83	2.83
atcosim_sm1_01_061_000000_000518	sobelair two five five seven maintain heading contact rhein one three two decimal four	5.19	5.19
atcosim_sm1_01_062_000000_000408	olympic one four four contact rhein one three two decimal four	4.09	4.09
atcosim_sm1_01_063_000000_000443	sabena seven eight one six rhein radar identified	4.43	4.43
atcosim_sm1_01_064_000000_000361	jetset one four two nine rhein identified	3.62	3.62
atcosim_sm1_01_065_000000_000578	aero lloyd five nine zero rhein radar identified climb flight level two nine zero	5.79	5.79
atcosim_sm1_01_066_000000_000276	aero lloyd five nine zero direct trasadingen	2.76	2.76
atcosim_sm1_01_067_000000_000405	sabena eight three two rhein confirm your level	4.06	4.06
atcosim_sm1_01_068_000000_000223	roger identified	2.24	2.24
atcosim_sm1_01_069_000000_000279	alitalia one one nine rhein identified	2.79	2.79
atcosim_sm1_01_070_000000_000434	klm three hundred kilo contact rhein one two seven three seven	4.35	4.35
atcosim_sm1_01_071_000000_000422	transwede one zero seven contact zurich one three four decimal six	4.22	4.22
atcosim_sm1_01_072_000000_000423	alitalia one one seven zurich one three three decimal four	4.24	4.24
atcosim_sm1_01_073_000000_000342	alitalia four eight five rhein identified	3.42	3.42
atcosim_sm1_01_074_000000_000270	viva five eight five request heading	2.7	2.7
atcosim_sm1_01_075_000000_000248	roger right turn heading zero three zero	2.48	2.48
atcosim_sm1_01_076_000000_000634	lufthansa four six five two rhein radar identified climb flight level two nine zero set course trasadingen	6.35	6.35
atcosim_sm1_01_077_000000_000337	delta india charlie papa alfa rhein radar identified	3.38	3.38
atcosim_sm1_01_078_000000_000323	psa five two six hotel rhein radar identified	3.23	3.23
atcosim_sm1_01_079_000000_000297	viva five eight five turn left to frankfurt	2.98	2.98
atcosim_sm1_01_080_000000_000468	jetset one four two nine contact rhein one two seven decimal three seven	4.68	4.68
atcosim_sm1_01_081_000000_000453	air malta zero zero four rhein radar one two seven three seven	4.54	4.54
atcosim_sm1_01_082_000000_000717	alitalia four zero one rhein identified climb flight level two seven zero	7.17	7.17
atcosim_sm1_01_083_000000_000473	sabena eight three two contact rhein one two seven three seven	4.73	4.73
atcosim_sm1_01_084_000000_000307	sabena seven eight one six turn left to gotil	3.07	3.07
atcosim_sm1_01_085_000000_000458	viva five eight five contact rhein one two seven decimal three seven	4.59	4.59
atcosim_sm1_01_086_000000_000370	hapag lloyd three five five one rhein identified	3.71	3.71
atcosim_sm1_01_088_000000_000396	aero lloyd five nine zero contact zurich one three four decimal six	3.96	3.96
atcosim_sm1_01_089_000000_000345	britannia triple two alfa proceed direct to kempten	3.45	3.45
atcosim_sm1_01_090_000000_000452	klm two six four contact rhein one two seven three seven	4.52	4.52
atcosim_sm1_01_091_000000_000485	sabena seven eight one six rhein one two seven three seven	4.85	4.85
atcosim_sm1_01_092_000000_000261	belstar five zero two hotel rhein identified	2.61	2.61
atcosim_sm1_01_093_000000_000282	gulf air zero zero seven rhein identified	2.82	2.82
atcosim_sm1_01_094_000000_000431	lufthansa four six five two zurich radar one three four decimal six	4.31	4.31
atcosim_sm1_01_095_000000_000778	lufthansa four four one six rhein identified standby for higher turn left by one five degrees	7.79	7.79
atcosim_sm1_01_096_000000_000349	alitalia four zero one climb flight level two nine zero	3.49	3.49
atcosim_sm1_01_097_000000_000325	lufthansa four four one six climb flight level two nine zero	3.25	3.25
atcosim_sm1_01_098_000000_000457	alitalia station co alitalia four eight seven i got it you are identified	4.58	4.58
atcosim_sm1_01_099_000000_000321	speed bird one two four rhein identified	3.21	3.21
atcosim_sm1_01_100_000000_000329	delta india mike lima lima rhein radar identified	3.3	3.3
atcosim_sm1_01_101_000000_000581	psa five two six hotel contact rhein one three two decimal four	5.82	5.82

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Dataset Card for ATCOSIM corpus

Dataset Summary

The ATCOSIM Air Traffic Control Simulation Speech corpus is a speech database of air traffic control (ATC) operator speech, provided by Graz University of Technology (TUG) and Eurocontrol Experimental Centre (EEC). It consists of ten hours of speech data, which were recorded during ATC real-time simulations using a close-talk headset microphone. The utterances are in English language and pronounced by ten non-native speakers. The database includes orthographic transcriptions and additional information on speakers and recording sessions. It was recorded and annotated by Konrad Hofbauer (description here).

Supported Tasks and Leaderboards

automatic-speech-recognition. Already adapted/fine-tuned models are available here --> XLS-R-300m.

Languages and other details

The text and the recordings are in English. The participating controllers were all actively employed air traffic controllers and possessed professional experience in the simulated sectors. The six male and four female controllers were of either German or Swiss nationality and had German, Swiss German or Swiss French native tongue. The controllers had agreed to the recording of their voice for the purpose of language analysis as well as for research and development in speech technologies, and were asked to show their normal working behaviour.

Dataset Structure

Data Fields

id (string): a string of recording identifier for each example, corresponding to its.
audio (audio): audio data for the given ID
text (string): transcript of the file already normalized. Follow these repositories for more details w2v2-air-traffic and bert-text-diarization-atc
segment_start_time (float32): segment start time (normally 0)
`segment_end_time (float32): segment end time
duration (float32): duration of the recording, compute as segment_end_time - segment_start_time

Additional Information

Licensing Information

The licensing status of the dataset hinges on the legal status of the ATCOSIM corpus creators.

Citation Information

Contributors who prepared, processed, normalized and uploaded the dataset in HuggingFace:

@article{zuluaga2022how,
    title={How Does Pre-trained Wav2Vec2. 0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications},
    author={Zuluaga-Gomez, Juan and Prasad, Amrutha and Nigmatulina, Iuliia and Sarfjoo, Saeed and others},
    journal={IEEE Spoken Language Technology Workshop (SLT), Doha, Qatar},
    year={2022}
  }

@article{zuluaga2022bertraffic,
  title={BERTraffic: BERT-based Joint Speaker Role and Speaker Change Detection for Air Traffic Control Communications},
  author={Zuluaga-Gomez, Juan and Sarfjoo, Seyyed Saeed and Prasad, Amrutha and others},
  journal={IEEE Spoken Language Technology Workshop (SLT), Doha, Qatar},
  year={2022}
  }

@article{zuluaga2022atco2,
  title={ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications},
  author={Zuluaga-Gomez, Juan and Vesel{\`y}, Karel and Sz{\"o}ke, Igor and Motlicek, Petr and others},
  journal={arXiv preprint arXiv:2211.04054},
  year={2022}
}

Authors of the dataset:

@inproceedings{hofbauer-etal-2008-atcosim,
    title = "The {ATCOSIM} Corpus of Non-Prompted Clean Air Traffic Control Speech",
    author = "Hofbauer, Konrad  and
      Petrik, Stefan  and
      Hering, Horst",
    booktitle = "Proceedings of the Sixth International Conference on Language Resources and Evaluation ({LREC}'08)",
    month = may,
    year = "2008",
    address = "Marrakech, Morocco",
    publisher = "European Language Resources Association (ELRA)",
    url = "http://www.lrec-conf.org/proceedings/lrec2008/pdf/545_paper.pdf",
}

Downloads last month: 287

Homepage:

ATCOSIM homepage

Repository:

GitHub repository (used in research)

Paper:

The ATCOSIM Corpus of Non-Prompted Clean Air Traffic Control Speech

Paper of this research:

How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications

Size of downloaded dataset files:

2.4 GB

Size of the auto-converted Parquet files:

2.4 GB

Number of rows:

9,539

Models trained or fine-tuned on Jzuluaga/atcosim_corpus