ATCO2 Project Data

ATCO2 project aims at developing a unique platform allowing to collect, organize and pre-process air-traffic control (voice communication) data from air space. This project has received funding from the Clean Sky 2 Joint Undertaking (JU) under grant agreement No 864702. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and the Clean Sky 2 JU members other than the Union. The project collected the real-time voice communication between air-traffic controllers and pilots available either directly through publicly accessible radio frequency channels or indirectly from air-navigation service providers (ANSPs). In addition to the voice communication data, contextual information is available in a form of metadata (i.e. surveillance data). The dataset consists of two distinct packages:- A corpus of ca. 4000 hours (untranscribed) of air-traffic control speech collected across different airports (Sion, Bern, Zurich, etc.) in .wav format for speech recognition. Speaker distribution is 90/10% between males and females and the group contains native and non-native speakers of English. The raw data, also provided, consists of:Overall size of the dataset (measured after Voice activity detection)- 5281 hours (English + non-English)- 4465 hours (English only)Overall raw size of audio files (sum of wav file lengths):- 6225 hours (English + non-English)- A corpus of ca. 4 hours (transcribed) of air-traffic control speech collected across different airports (Sion, Bern, Zurich, etc.) in .wav format for speech recognition. Speaker distribution is 90/10% between males and females and the group contains native and non-native speakers of English. This corpus has been manually transcribed and automatically annotated with orthographic information in XML format with speaker noise information, SNR values and others. Ca. 1 hour of annotation has followed a human re-checking.

ATCO2项目致力于构建一个独特的平台，旨在收集、整理和预处理空中交通管制（语音通信）数据。该项目已获得Clean Sky 2联合企业（JU）的资助，资助协议编号为864702。JU从欧盟的Horizon 2020研究和创新计划以及除联盟外的Clean Sky 2 JU成员处获得支持。项目收集了空中交通管制员与飞行员之间的实时语音通信数据，这些数据可通过公开可访问的无线电频率通道直接获取，或间接从空中导航服务提供商（ANSPs）获取。除了语音通信数据外，还提供了以元数据（即监控数据）形式存在的上下文信息。该数据集由两个独立的包组成：一是约4000小时（未转录）的空中交通管制语音语料库，收集于不同机场（锡永、伯尔尼、苏黎世等），以.wav格式提供，用于语音识别。说话人分布为男性与女性各占90/10%，该群体包含英语母语者及非母语者。此外，还提供了原始数据，包括：数据集的总大小（在语音活动检测后测量）- 5281小时（英语及非英语）- 4465小时（仅英语）；音频文件的总原始大小（wav文件长度的总和）- 6225小时（英语及非英语）。二是约4小时（已转录）的空中交通管制语音语料库，收集于不同机场（锡永、伯尔尼、苏黎世等），以.wav格式提供，用于语音识别。说话人分布为男性与女性各占90/10%，该群体包含英语母语者及非母语者。该语料库已进行人工转录，并以XML格式自动标注了正字信息、说话人噪音信息、信噪比（SNR）值等。约1小时的标注经过人工复查。

搜集汇总

背景与挑战

背景概述

ATCO2 Project Data是一个航空交通管制语音数据集，包含约4000小时未转录和4小时已转录的语音数据，用于语音识别研究。数据集涵盖多种语言和说话者背景，具有丰富的元数据信息。