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Challenges in using a Standard Speech Recognition Engine in Small Vocabulary Domain

2019 International journal of recent technology and engineering  
This paper discusses the challenges and proposes recommendations on using a standard speech recognition engine for a small vocabulary Air Traffic Controller Pilot communication domain.  ...  With the given challenges in transcribing the Air Traffic Communication due to the inherent radio issues in cockpit and the con-troller room, gathering the corpus for training the speech recognition model  ...  CHALLENGES IN AIR TRAFFIC SPEECH RECOGNITION A.  ... 
doi:10.35940/ijrte.b1182.0782s619 fatcat:kuq23ct5ojfwhp66wytv3ykfb4

Possibilities, Challenges And The State Of The Art Of Automatic Speech Recognition In Air Traffic Control

Van Nhan Nguyen, Harald Holone
2015 Zenodo  
, monitoring live operators for with the aim of safety improvements, air traffic controller workload measurement and conducting analysis on large quantities controller-pilot speech.  ...  automatic speech recognition in air traffic control.  ...  Simensen and Christian Raspotnig), Edda Systems AS, and WP3 of "User driven innovation in smart homes for health and energy" at Østfold University College for support in the work with this paper.  ... 
doi:10.5281/zenodo.1108427 fatcat:uo6ncwfaqjelrcnfgo5lhnfsdm

Spoken Instruction Understanding in Air Traffic Control: Challenge, Technique, and Application

Yi Lin
2021 Aerospace (Basel)  
In air traffic control (ATC), speech communication with radio transmission is the primary way to exchange information between the controller and aircrew.  ...  Firstly, a full pipeline is represented to achieve the SIU task, including automatic speech recognition, language understanding, and voiceprint recognition.  ...  Introduction Air Traffic Control Safety As well known, air traffic control (ATC) is a complicated and time-varying system, in which operational safety is always a hot research topic.  ... 
doi:10.3390/aerospace8030065 fatcat:luy3527ygnc33pnz4nqllca2na

ATCSpeech: a multilingual pilot-controller speech corpus from real Air Traffic Control environment [article]

Bo Yang, Xianlong Tan, Zhengmao Chen, Bing Wang, Dan Li, Zhongping Yang, Xiping Wu, Yi Lin
2019 arXiv   pre-print
For the ASR research, speech corpus is always an essential foundation, especially for the vertical industry, such as Air Traffic Control (ATC).  ...  To our best knowledge, this is the first work that aims at building a real and multilingual ASR corpus for the air traffic related research.  ...  Finally, the authors sincerely thank all the members of the sample producing team. It is their hard work that benefits the ASR research in the ATC domain.  ... 
arXiv:1911.11365v1 fatcat:vmodvedmevd7zk6tzajybuwn5q

Automatic Speech Recognition Benchmark for Air-Traffic Communications [article]

Juan Zuluaga-Gomez and Petr Motlicek and Qingran Zhan and Karel Vesely and Rudolf Braun
2020 arXiv   pre-print
Advances in Automatic Speech Recognition (ASR) over the last decade opened new areas of speech-based automation such as in Air-Traffic Control (ATC) environment.  ...  An additional 35% relative improvement in WER is achieved on one test set when training a TDNNF system with byte-pair encoding.  ...  The best model for Vienna dataset was TDNNF trained on Tr1+Tr2 and scored with a 4-gram LM, whereas for MAchine Learning Of speech Recognition models for Controller Assistance, http://www.malorca-project.de  ... 
arXiv:2006.10304v2 fatcat:dvlldl7ekfd3ja43gkecearcc4

An application of Artificial Intelligence in emotion detection by speech only

Arvind Sharma, RJIT Tekanpur, R K Gupta, MITS Gwalior
2021 Ymer  
air traffic management systems, and identification of leader's emotions or intentions behind their speech.  ...  The proposed approach can be applied in different practical applications such as understanding peoples' emotions in their daily life and stress from the voice of the pilots or air traffic controllers in  ...  the pilots and air traffic controllers in the air traffic management systems.  ... 
doi:10.37896/ymer20.10/4 fatcat:tyctksfpbvebfo3nf7yejgcfpy

ATCSpeech: A Multilingual Pilot-Controller Speech Corpus from Real Air Traffic Control Environment

Bo Yang, Xianlong Tan, Zhengmao Chen, Bing Wang, Min Ruan, Dan Li, Zhongping Yang, Xiping Wu, Yi Lin
2020 Interspeech 2020  
For the ASR research, speech corpus is always an essential foundation, especially for the vertical industry, such as Air Traffic Control (ATC).  ...  There are some speech corpora for common applications, public or paid. However, for the ATC domain, it is difficult to collect raw speeches from real systems due to safety issues.  ...  The authors sincerely thank all the members of the sample producing team. It is their hard work that benefits the ASR research in ATC domain.  ... 
doi:10.21437/interspeech.2020-1020 dblp:conf/interspeech/YangTCWRLYW020 fatcat:6gfq6z77hzadxgpuglgciocyn4

Automatic Speech Recognition Benchmark for Air-Traffic Communications

Juan Zuluaga-Gomez, Petr Motlicek, Qingran Zhan, Karel Veselý, Rudolf Braun
2020 Interspeech 2020  
Advances in Automatic Speech Recognition (ASR) over the last decade opened new areas of speech-based automation such as in Air-Traffic Control (ATC) environments.  ...  An additional 35% relative improvement in WER is achieved on one test set when training a TDNNF system with byte-pair encoding.  ...  The work was also partially supported by SESAR EC project HAAWAII (Highly automated air-traffic controller workstations with artificial intelligence integration).  ... 
doi:10.21437/interspeech.2020-2173 dblp:conf/interspeech/Zuluaga-GomezMZ20 fatcat:m5s2fjjtjzdsxahnmrjptpljii

The Airbus Air Traffic Control Speech Recognition 2018 Challenge: Towards ATC Automatic Transcription and Call Sign Detection

Thomas Pellegrini, Jérôme Farinas, Estelle Delpech, François Lancelot
2019 Interspeech 2019  
In this paper, we describe the outcomes of the challenge organized and run by Airbus and partners in 2018 on Air Traffic Control (ATC) speech recognition.  ...  ATC speech processing is challenging for several reasons: high speech rate, foreignaccented speech with a great diversity of accents, noisy communication channels.  ...  The Airbus Air Traffic Control Speech Recognition 2018 challenge was intended to provide the research community with an opportunity to address the specific issues of ATC speech recognition.  ... 
doi:10.21437/interspeech.2019-1962 dblp:conf/interspeech/PellegriniFDL19 fatcat:zxdgmjbxdzghniaj6y5tl36zpm

Speech GAU: A Single Head Attention for Mandarin Speech Recognition for Air Traffic Control

Shiyu Zhang, Jianguo Kong, Chao Chen, Yabin Li, Haijun Liang
2022 Aerospace (Basel)  
In this study, a new E2E framework, ResNet–GAU–CTC, is proposed to implement Mandarin speech recognition for air traffic control (ATC).  ...  The rise of end-to-end (E2E) speech recognition technology in recent years has overturned the design pattern of cascading multiple subtasks in classical speech recognition and achieved direct mapping of  ...  The application of speech recognition techniques can effectively reduce controller workload and improve operational efficiency and safety.  ... 
doi:10.3390/aerospace9080395 fatcat:tzhz3kmvcbavlhawe7vixzhh7q

Semi-supervised Adaptation of Assistant Based Speech Recognition Models for different Approach Areas

Matthias Kleinert, Hartmut Helmke, Gerald Siol, Heiko Ehr, Aneta Cerna, Christian Kern, Dietrich Klakow, Petr Motlicek, Youssef Oualil, Mittul Singh, Ajay Srinivasamurthy
2018 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)  
The instructed commands from an air traffic controller (ATCOs) are then available in computer readable form. However, those systems require manual controller inputs, i.e. ATCOs' workload increases.  ...  MALORCA project developed an initial basic ABSR system and semi-automatically tailored its recognition models for both Prague and Vienna approach by machine learning from automatically transcribed audio  ...  ACKNOWLEDGMENT We would like to thank all the controllers who anonymously provided us with real world command examples and also our MALORCA partners from Austro Control and from Air Navigation Service  ... 
doi:10.1109/dasc.2018.8569879 fatcat:p52kdrjjy5a5pijoqzo2avcfvu

A High-Efficiency Fatigued Speech Feature Selection Method for Air Traffic Controllers Based on Improved Compressed Sensing

Yonggang Yan, Yi Mao, Zhiyuan Shen, Yitao Wei, Guozhuang Pan, Jinfu Zhu, Qiu-Hua Lin
2021 Journal of Healthcare Engineering  
Air traffic controller fatigue has recently received considerable attention from researchers because it is one of the main causes of air traffic incidents.  ...  For adapting a method to the specific field of fatigued speech, we propose an improved compressed sensing construction algorithm to decrease the reconstruction error and achieve superior sparse coding.  ...  ATC Air traffic controller ATCs Air traffic controllers MFCC Mel-frequency cepstrum coefficient CS Compressed sensing ETF Equal-dimensional tight frame FD Fractal dimension ICSCA Improved  ... 
doi:10.1155/2021/2292710 pmid:34616528 pmcid:PMC8487830 fatcat:qd5wojpbajez3ersmbdphjzl4i

Intelligent Avionics System Onboard An Aircraft Enhancing Communication

N Sharma
2018 IOP Conference Series: Materials Science and Engineering  
The system shall also be used for real time flight planning by ATC based upon traffic density.  ...  With high air traffic and busy airspace, the transmissions are often misheard causing communication failure which is undesirable.  ...  systems may make the sky easier for travelling in days to come and even maintain considerable low load factor on the traffic controller and pilots reducing the Human Error.  ... 
doi:10.1088/1757-899x/376/1/012062 fatcat:q3zzbiiy6nf2joiw4ez7wsmakm

Improving callsign recognition with air-surveillance data in air-traffic communication [article]

Iuliia Nigmatulina, Rudolf Braun, Juan Zuluaga-Gomez, Petr Motlicek
2021 arXiv   pre-print
Automatic Speech Recognition (ASR) can be used as the assistance of speech communication between pilots and air-traffic controllers.  ...  Boosting callsign n-grams with the combination of two methods allowed us to gain 28.4% of absolute improvement in callsign recognition accuracy and up to 74.2% of relative improvement in WER of callsign  ...  the world: https://www.liveatc.net/ The Horizon 2020 SESAR project MALORCA (Machine Learning of Speech Recognition Models for Controller Assistance) is partly funded by SESAR Joint Undertaking (Grant  ... 
arXiv:2108.12156v1 fatcat:o3patmv55rhw3ceucxvwadnsre

Opportunities for advanced speech processing in military computer-based systems

C.J. Weinstein
1991 Proceedings of the IEEE  
in computer networks; (3) speech recognition in fighter aircraft, military helicopters, battle management, and air traffic control training systems; and (4) noise and interference removal for human listeners  ...  These generic systems include: (1) integrated multi-rate voice/data communications terminal; (2) interactive speech enhancement system; (3) voice-controlled pilot's associate system; (4) advanced air traffic  ...  Acknowledgment I would like to acknowledge the contributions to this paper of my colleagues on the NATO Research Study Group in Speech Processing (RSG10) in providing technical suggestions, identifying  ... 
doi:10.1109/5.118986 fatcat:prqhhsinpbclpihwbuvw2bzkxq
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