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

by   Xianlong Tan, et al.

Automatic Speech Recognition (ASR) is greatly developed in recent years, which expedites many applications on other fields. 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, it is difficult to collect raw speeches from real systems due to safety issues. More importantly, for a supervised learning task like ASR, annotating the transcription is a more laborious work, which hugely restricts the prospect of ASR application. In this paper, a multilingual speech corpus (ATCSpeech) from real ATC systems, including accented Mandarin Chinese and English, is built and released to encourage the non-commercial ASR research in ATC domain. The corpus is detailly introduced from the perspective of data amount, speaker gender and role, speech quality and other attributions. In addition, the performance of our baseline ASR models is also reported. A community edition for our speech database can be applied and used under a special contrast. 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.


page 1

page 2

page 3

page 4


Automatic Speech Recognition Benchmark for Air-Traffic Communications

Advances in Automatic Speech Recognition (ASR) over the last decade open...

Hindi-English Code-Switching Speech Corpus

Code-switching refers to the usage of two languages within a sentence or...

Grammar Based Identification Of Speaker Role For Improving ATCO And Pilot ASR

Assistant Based Speech Recognition (ABSR) for air traffic control is gen...

BERTraffic: A Robust BERT-Based Approach for Speaker Change Detection and Role Identification of Air-Traffic Communications

Automatic Speech Recognition (ASR) is gaining special interest in Air Tr...

AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale

AISHELL-1 is by far the largest open-source speech corpus available for ...

EasyCall corpus: a dysarthric speech dataset

This paper introduces a new dysarthric speech command dataset in Italian...

The Airbus Air Traffic Control speech recognition 2018 challenge: towards ATC automatic transcription and call sign detection

In this paper, we describe the outcomes of the challenge organized and r...