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Journal Article

Introducing the "Cockpit Party Problem": Blind Source Separation Enhances Aircraft Cockpit Speech Transcription

Authors: Puigt, Matthieu; Bigot, Benjamin; Devulder, Hélène

Journal of the Audio Engineering Society · Volume 73 · Issue 1/2 · pp. 43–53 · January 2025

Abstract

Cockpit voice recorders (CVRs) are one of the two mandatory flight recording devices embarked in commercial aircraft. Its analysis is crucial to understand the context of an air incident or accident. However, in such scenarios, when the audio recordings are usable, CVR may contain strong mixtures of crew member speech signals, radio communications, and cockpit alarms. However, contrary to the “cocktail party problem” that blind source separation (BSS) aims to tackle, modeling CVR mixtures—that are here named the “cockpit party problem”—was never done before. In this paper, the authors thus propose a CVR mixture model and highlight its limitations. While not trivial—even in a two-source scenario—BSS methods can be applied to real CVR recordings. It is found that taking into account several BSS outputs provided by various methods may help audio analysts to transcribe the CVR data. That is, near 90% of unintelligible words can be transcribed from CVR recordings processed by BSS methods.

Details

Publication
Journal of the Audio Engineering Society
Volume
73
Issue
1/2
Pages
43–53
Publication date
January 7, 2025
Affiliation
Bureau d’Enquêtes et d’Analyses pour la sécurité de l’aviation civile (BEA), F-93350 Le Bourget, France; Bureau d’Enquêtes et d’Analyses pour la sécurité de l’aviation civile (BEA), F-93350 Le Bourget, France; Université du Littoral Côte d’Opale, LISIC – UR 4491, F-62228 Calais, France; Université du Littoral Côte d’Opale, LISIC – UR 4491, F-62228 Calais, France (See document for exact affiliation information.)
Type
Journal Article