Papers

Self-supervised Complex Network for Machine Sound Anomaly Detection

International Conference
2021~
작성자
한혜원
작성일
2021-08-30 11:06
조회
4434
Authors : Miseul Kim, Minh-Tri Ho, Hong-Goo Kang

Year : 2021

Publisher / Conference : EUSIPCO

Research area : Audio Signal Processing, Anomaly Detection

In this paper, we propose an anomaly detection algorithm for machine sounds with a deep complex network trained by self-supervision. Using the fact that phase continuity information is crucial for detecting abnormalities in time-series signals, our proposed algorithm utilizes the complex spectrum as an input and performs complex number arithmetic throughout the entire process. Since the usefulness of phase information can vary depending on the type of machine sound, we also apply an attention mechanism to control the weights of the complex and magnitude spectrum bottleneck features depending on the machine type. We train our network to perform a self-supervised task that classifies the machine identifier (id) of normal input sounds among multiple classes. At test time, an input signal is detected as anomalous if the trained model is unable to correctly classify the id. In other words, we determine the presence of an anomality when the output cross-entropy score of the multiclass identification task is lower than a pre-defined threshold. Experiments with the MIMII dataset show that the proposed algorithm has a much higher area under the curve (AUC) score than conventional magnitude spectrum-based algorithms.
전체 372
164 International Conference Byeong Hyeon Kim,Hyungseob Lim,Inseon Jang,Hong-Goo Kang "Towards an Ultra-Low-Delay Neural Audio Coding with Computational Efficiency" in INTERSPEECH, 2025
163 International Conference Stijn Kindt,Jihyun Kim,Hong-Goo Kang,Nilesh Madhu "Efficient, Cluster-Informed, Deep Speech Separation with Cross-Cluster Information in AD-HOC Wireless Acoustic Sensor Networks" in International Workshop on Acoustic Signal Enhancement (IWAENC), 2024
162 International Conference Yeona Hong, Hyewon Han, Woo-jin Chung, Hong-Goo Kang "StableQuant: Layer Adaptive Post-Training Quantization for Speech Foundation Models" in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
161 International Conference Sangmin Lee, Woojin Chung, Hong-Goo Kang "LAMA-UT: Language Agnostic Multilingual ASR through Orthography Unification and Language-Specific Transliteration" in Association for the Advancement of Artificial Intelligence (AAAI), 2025
160 International Conference Juhwan Yoon, Hyungseob Lim, Hyeonjin Cha, Hong-Goo Kang "StylebookTTS: Zero-Shot Text-to-Speech Leveraging Unsupervised Style Representation" in APSIPA ASC, 2024
159 International Conference Doyeon Kim, Yanjue Song, Nilesh Madhu, Hong-Goo Kang "Enhancing Neural Speech Embeddings for Generative Speech Models" in APSIPA ASC, 2024
158 International Conference Miseul Kim, Soo-Whan Chung, Youna Ji, Hong-Goo Kang, Min-Seok Choi "Speak in the Scene: Diffusion-based Acoustic Scene Transfer toward Immersive Speech Generation" in INTERSPEECH, 2024
157 International Conference Seyun Um, Doyeon Kim, Hong-Goo Kang "PARAN: Variational Autoencoder-based End-to-End Articulation-to-Speech System for Speech Intelligibility" in INTERSPEECH, 2024
156 International Conference Jihyun Kim, Stijn Kindt, Nilesh Madhu, Hong-Goo Kang "Enhanced Deep Speech Separation in Clustered Ad Hoc Distributed Microphone Environments" in INTERSPEECH, 2024
155 International Conference Woo-Jin Chung, Hong-Goo Kang "Speaker-Independent Acoustic-to-Articulatory Inversion through Multi-Channel Attention Discriminator" in INTERSPEECH, 2024