Semi-blind source separation for unmanned aerial vehicle audition

IF 3.4 2区物理与天体物理 Q1 ACOUSTICS

Applied Acoustics Pub Date : 2025-08-29 DOI:10.1016/j.apacoust.2025.111019

Jin Xuan Teh , Norihiro Takamune , Hiroshi Saruwatari , Benjamin Yen , Michael Kingan , Yusuke Hioka

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引用次数: 0

Abstract

This paper presents a semi-blind source separation (BSS) method tailored for sound source enhancement for audio recording systems mounted on unmanned aerial vehicles (UAVs). This method capitalises on recordings of UAV ego-noise to supervise the independent low-rank matrix analysis (ILRMA) algorithm. Through the integration of spatial and noise source supervisors, ILRMA is transformed from a blind to a semi-blind method, substantially enhancing sound source separation performance in UAV settings. The spatial supervisor effectively addresses the global permutation problem in BSS within input signal-to-noise ratios (SNRs) ranges of 0 to -30 dB. Concurrently, the noise source supervisor leverages the UAV's dominant ego-noise to predetermine the BSS solution for noise components, leading to improved performance. Comprehensive tests using generated and recorded target signals demonstrate significant performance improvements, including an 18 dB increase in source-to-distortion ratio, a 20 dB increase in signal-to-noise ratio, a 0.22 score improvement in short-time objective intelligibility, and a 0.5 dB improvement in cepstral distance.

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无人机音频半盲源分离

针对无人机录音系统声源增强问题，提出了一种半盲声源分离（BSS）方法。该方法利用无人机自我噪声的记录来监督独立低秩矩阵分析（ILRMA）算法。通过整合空间和噪声源监测器，将ILRMA从盲方法转变为半盲方法，大大提高了无人机环境下的声源分离性能。在输入信噪比（SNRs）为0到- 30db的范围内，空间监控器有效地解决了BSS的全局置换问题。同时，噪声源主管利用无人机的主要自我噪声来预先确定噪声组件的BSS解决方案，从而提高性能。使用生成和记录的目标信号进行的综合测试显示了显著的性能改进，包括源失真比提高了18 dB，信噪比提高了20 dB，短期客观清晰度提高了0.22分，背谱距离提高了0.5 dB。

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来源期刊

Applied Acoustics 物理-声学

CiteScore

7.40

自引率

11.80%

发文量

618

审稿时长

7.5 months

期刊介绍： Since its launch in 1968, Applied Acoustics has been publishing high quality research papers providing state-of-the-art coverage of research findings for engineers and scientists involved in applications of acoustics in the widest sense. Applied Acoustics looks not only at recent developments in the understanding of acoustics but also at ways of exploiting that understanding. The Journal aims to encourage the exchange of practical experience through publication and in so doing creates a fund of technological information that can be used for solving related problems. The presentation of information in graphical or tabular form is especially encouraged. If a report of a mathematical development is a necessary part of a paper it is important to ensure that it is there only as an integral part of a practical solution to a problem and is supported by data. Applied Acoustics encourages the exchange of practical experience in the following ways: • Complete Papers • Short Technical Notes • Review Articles; and thereby provides a wealth of technological information that can be used to solve related problems. Manuscripts that address all fields of applications of acoustics ranging from medicine and NDT to the environment and buildings are welcome.