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arXiv · 2503.23827

Aud-Sur: An Audio Analyzer Assistant for Audio Surveillance Applications

Phat Lam·Lam Pham·Dat Tran·Alexander Schindler·Silvia Poletti·Marcel Hasenbalg·David Fischinger·Martin Boyer
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Abstract

In this paper, we present an audio analyzer assistant tool designed for a wide range of audio-based surveillance applications (This work is a part of our DEFAME FAKES and EUCINF projects). The proposed tool, refered to as Aud-Sur, comprises two main phases Audio Analysis and Audio Retrieval, respectively. In the first phase, multiple open-source audio models are leveraged to extract information from input audio recording uploaded by a user. In the second phase, users interact with the Aud-Sur tool via a natural question-and-answer manner, powered by a large language model (LLM), to retrieve the information extracted from the processed audio file. The Aud-Sur tool was deployed using Docker on a microservices-based architecture design. By leveraging open-source audio models for information extraction, LLM for audio information retrieval, and a microservices-based deployment approach, the proposed Aud-Sur tool offers a highly extensible and adaptable framework that can integrate more audio tasks, and be widely shared within the audio community for further development.

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Phat Lam, Lam Pham, Dat Tran, Alexander Schindler, Silvia Poletti, Marcel Hasenbalg, David Fischinger, Martin Boyer. 2025-03-31. Aud-Sur: An Audio Analyzer Assistant for Audio Surveillance Applications. https://arxiv.org/abs/2503.23827

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