An Incremental Class-Learning Approach with Acoustic Novelty Detection for Acoustic Event Recognition [PDF]
Sensors, 2021 Acoustic scene analysis (ASA) relies on the dynamic sensing and understanding of stationary and non-stationary sounds from various events, background noises and human actions with objects.
Barış Bayram, Gökhan İnce
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Confidence Learning for Semi-Supervised Acoustic Event Detection [PDF]
Applied Sciences, 2021 In recent years, the involvement of synthetic strongly labeled data, weakly labeled data, and unlabeled data has drawn much research attention in semi-supervised acoustic event detection (SAED).
Yuzhuo Liu +4 more
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Acoustic Event Detection in Vehicles: A Multi-Label Classification Approach [PDF]
SensorsAutonomous driving technologies for environmental perception are mostly based on visual cues obtained from sensors like cameras, RADAR, or LiDAR. They capture the environment as if seen through “human eyes”.
Anaswara Antony +3 more
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Enhancing smart home environments: a novel pattern recognition approach to ambient acoustic event detection and localization [PDF]
Frontiers in Big DataIntroductionAmbient acoustic detection and localization play a vital role in identifying events and their origins from acoustic data. This study aimed to establish a comprehensive framework for classifying activities in home environments to detect ...
Ahsan Shabbir +5 more
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Acoustic event detection for multiple overlapping similar sources [PDF]
2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2015 Many current paradigms for acoustic event detection (AED) are not adapted to the organic variability of natural sounds, and/or they assume a limit on the number of simultaneous sources: often only one source, or one source of each type, may be active ...
Clayton, David, Stowell, Dan
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A hybrid method combining rule-based filter and machine learning to detect porpoise and vessel sounds from a pulse event recorder [PDF]
Scientific ReportsPassive acoustic monitoring is essential for assessing the impact of anthropogenic noise on marine ecosystems and detecting vocalizing marine life. While acoustic event recorders are widely used to record odontocete echolocation due to their low power ...
Mayu I. Ogawa +3 more
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Acoustic Event Detection with Classifier Chains [PDF]
Interspeech 2021, 2021 This paper proposes acoustic event detection (AED) with classifier chains, a new classifier based on the probabilistic chain rule. The proposed AED with classifier chains consists of a gated recurrent unit and performs iterative \red{binary detection} of each event one by one.
Chenglong Li +4 more
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Research on Traffic Acoustic Event Detection Algorithm Based on Sparse Autoencoder [PDF]
MATEC Web of Conferences, 2020 Road traffic monitoring is very important for intelligent transportation. The detection of traffic state based on acoustic information is a new research direction. A vehicles acoustic event classification algorithm based on sparse autoencoder is proposed
Zhang Xiaodan +2 more
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Adaptive Multi-Scale Detection of Acoustic Events [PDF]
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2020 IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING (TASLP)
Wenhao Ding, Liang He
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Visually-aware Acoustic Event Detection using Heterogeneous Graphs [PDF]
Interspeech 2022, 2022 Perception of auditory events is inherently multimodal relying on both audio and visual cues. A large number of existing multimodal approaches process each modality using modality-specific models and then fuse the embeddings to encode the joint information.
Shirian, Amir +3 more
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