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Paper Citation Record · LEDGER

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection

As of 9 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2607.10596.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.10596 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

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measured 63 of 63 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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63 of 63 outbound references displayed

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Outbound references

Observation 148950ec-832b-43dc-89d2-fb454fabfe42 · outbound

This paper cites Description and discussion on dcase2020 challenge task2: Unsupervised anomalous sound detection for machine condition monitoring,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Description and discussion on dcase2020 challenge task2: Unsupervised anomalous sound detection for machine condition monitoring,

Reference 1

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Observation 879c9e29-fe9e-4ce3-8f3d-0e350d6f3700 · outbound

This paper cites Description and discussion on dcase 2021 challenge task 2: Unsupervised anomalous detection for machine condition monitoring under domain shifted conditions,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Description and discussion on dcase 2021 challenge task 2: Unsupervised anomalous detection for machine condition monitoring under domain shifted conditions,

Reference 2

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Observation b59f7da5-1441-46b4-817b-fdee44d20150 · outbound

This paper cites Description and discussion on dcase 2022 challenge task 2: Un- supervised anomalous sound detection for machine condition monitoring applying domain generalization techniques,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Description and discussion on dcase 2022 challenge task 2: Un- supervised anomalous sound detection for machine condition monitoring applying domain generalization techniques,

Reference 3

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Observation f89c414a-a67f-4d84-bbf5-5d1665357581 · outbound

This paper cites Description and discussion on DCASE 2023 challenge task 2: First-shot unsupervised anomalous sound detection for machine condition monitoring,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Description and discussion on DCASE 2023 challenge task 2: First-shot unsupervised anomalous sound detection for machine condition monitoring,

Reference 4

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Observation 54461f04-223c-4199-b7c5-ac43e4ab809a · outbound

This paper cites Description and discussion on dcase 2024 challenge task 2: First- shot unsupervised anomalous sound detection for machine condition monitoring,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Description and discussion on dcase 2024 challenge task 2: First- shot unsupervised anomalous sound detection for machine condition monitoring,

Reference 5

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Observation 9cb79825-efd9-4a14-98e7-ee84f4e2fdd2 · outbound

This paper cites Description and discussion on dcase 2025 challenge task 2: First- shot unsupervised anomalous sound detection for machine condition monitoring,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Description and discussion on dcase 2025 challenge task 2: First- shot unsupervised anomalous sound detection for machine condition monitoring,

Reference 6

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Observation f73862c4-c127-4258-88cb-e0542bfd432b · outbound

This paper cites Anomalous sound detection based on interpolation deep neural network,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Anomalous sound detection based on interpolation deep neural network,

Reference 7

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Observation 5239a0d9-a8c7-4696-a645-3fb349423219 · outbound

This paper cites Anomaly detection in raw audio using deep autoregressive networks,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Anomaly detection in raw audio using deep autoregressive networks,

Reference 8

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Observation 3ba71aa3-23a6-4ff0-bd25-e0d1b5a47a55 · outbound

This paper cites Unsupervised anomaly detection and localization of machine audio: A gan-based approach,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Unsupervised anomaly detection and localization of machine audio: A gan-based approach,

Reference 9

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Observation 4c1a8739-b7ea-40a2-b2d2-18864e0b8736 · outbound

This paper cites Unsupervised anomalous sound detection using self- supervised classification and group masked autoencoder for density estimation,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Unsupervised anomalous sound detection using self- supervised classification and group masked autoencoder for density estimation,

Reference 10

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Observation 4b86ef33-81b1-4d39-998c-68c495f0599e · outbound

This paper cites Self- supervised representation learning for unsupervised anomalous sound detection under domain shift,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Self- supervised representation learning for unsupervised anomalous sound detection under domain shift,

Reference 11

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Observation c9972b0f-5c8c-4ef2-a41e-f743a7fe2ef8 · outbound

This paper cites Outlier-aware Inlier Modeling and Multi-scale Scoring for Anomalous Sound Detection via Multitask Learning,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Outlier-aware Inlier Modeling and Multi-scale Scoring for Anomalous Sound Detection via Multitask Learning,

Reference 12

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Observation 35641f7f-2b2d-4144-8ab3-11b75ffb102e · outbound

This paper cites Self-supervised learning for anomalous sound detec- tion,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Self-supervised learning for anomalous sound detec- tion,

Reference 13

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Observation bc83c9ca-2188-4978-8ab0-93ab4ca5cee4 · outbound

This paper cites Adaptive prototype learning for anomalous sound detection with partially known attributes,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Adaptive prototype learning for anomalous sound detection with partially known attributes,

Reference 14

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Observation d2d3b4e8-b47c-42b1-8cec-d592aaf4f110 · outbound

This paper cites Self-supervised acoustic anomaly detec- tion via contrastive learning,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Self-supervised acoustic anomaly detec- tion via contrastive learning,

Reference 15

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Observation bc27dbb6-c995-440b-b495-f0ecf5bf65ed · outbound

This paper cites Anomalous sound detection using audio representation with machine id based contrastive learning pretraining,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Anomalous sound detection using audio representation with machine id based contrastive learning pretraining,

Reference 16

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Observation 8acde8c9-f7ad-44bb-9a35-6d4a0f14990d · outbound

This paper cites Joint generative-contrastive representation learning for anomalous sound detection,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Joint generative-contrastive representation learning for anomalous sound detection,

Reference 17

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Observation 07441219-e97a-4497-b026-4aa989827172 · outbound

This paper cites Robust Prototype Learning for Anomalous Sound Detection,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Robust Prototype Learning for Anomalous Sound Detection,

Reference 18

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Observation 300b589b-1e08-44c1-a375-4a0c91ea3bf7 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 19

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Observation 464ac482-807e-4b4c-942e-4e07d7e2cf0e · outbound

This paper cites AST: Audio Spectrogram Trans- former,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection AST: Audio Spectrogram Trans- former,

Reference 20

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Observation 4da550b8-74bb-4a7f-b4a7-80f48891de0c · outbound

This paper cites Masked autoencoders that listen,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Masked autoencoders that listen,

Reference 21

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Observation 89ad3995-8466-437b-abb1-21946a80ac29 · outbound

This paper cites BEATs: Audio pre-training with acoustic tokenizers,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection BEATs: Audio pre-training with acoustic tokenizers,

Reference 22

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Observation 3aa42524-8fa1-4f71-a1e2-eb9dca8d0257 · outbound

This paper cites EAT: Self- supervised pre-training with efficient audio transformer,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection EAT: Self- supervised pre-training with efficient audio transformer,

Reference 23

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Observation e5c00ac4-b1c6-4787-acc8-d52d4c275416 · outbound

This paper cites CED: Consistent ensemble distillation for audio tagging,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection CED: Consistent ensemble distillation for audio tagging,

Reference 24

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Observation 4bd206f3-d962-43ab-9806-a9a12549b46a · outbound

This paper cites Scaling up masked audio encoder learning for general audio classification,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Scaling up masked audio encoder learning for general audio classification,

Reference 25

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Observation 55d70409-5fd7-416b-910f-b74a57a13078 · outbound

This paper cites Exploring large scale pre-trained models for robust machine anomalous sound detection,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Exploring large scale pre-trained models for robust machine anomalous sound detection,

Reference 26

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Observation c8227c05-2cb9-4b5f-91eb-992ed29c450a · outbound

This paper cites Exploring self-supervised audio models for generalized anomalous sound detection,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Exploring self-supervised audio models for generalized anomalous sound detection,

Reference 27

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Observation 84e6bc1f-b0f0-42c1-833d-cd6ef5738e94 · outbound

This paper cites Anopatch: Towards better consistency in machine anomalous sound detection,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Anopatch: Towards better consistency in machine anomalous sound detection,

Reference 28

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Observation fa138a67-7f30-4c75-9578-4e0800ed050f · outbound

This paper cites Lora: Low-rank adaptation of large language models.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Lora: Low-rank adaptation of large language models

Reference 29

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Observation 7b773b46-9d43-454c-9dca-25f9da16ff31 · outbound

This paper cites Improving anomalous sound detection via low-rank adaptation fine- tuning of pre-trained audio models,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Improving anomalous sound detection via low-rank adaptation fine- tuning of pre-trained audio models,

Reference 30

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Observation 5a7864e6-7c69-498e-b985-585f46bb9876 · outbound

This paper cites Anomalous Sound Detection Using Self-Attention-Based Frequency Pattern Analysis of Machine Sounds,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Anomalous Sound Detection Using Self-Attention-Based Frequency Pattern Analysis of Machine Sounds,

Reference 31

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Observation be4d7d39-a75c-4ef6-8485-61fd84f7245e · outbound

This paper cites Robust anomaly sound detection framework for machine condition monitoring,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Robust anomaly sound detection framework for machine condition monitoring,

Reference 32

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Observation 627ee407-4a98-470e-ba80-24413cc34cc1 · outbound

This paper cites Explaining the decisions of anomalous sound detectors,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Explaining the decisions of anomalous sound detectors,

Reference 33

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Observation 16afe455-62bb-4c8a-9c6f-8a54e0cabbba · outbound

This paper cites A dual-path framework with frequency-and-time excited network for anomalous sound detec- tion,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection A dual-path framework with frequency-and-time excited network for anomalous sound detec- tion,

Reference 34

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Observation b77cbaea-439f-45cc-9877-44f039d30388 · outbound

This paper cites A lightweight framework for unsupervised anomalous sound detection based on selective learning of time-frequency domain features,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection A lightweight framework for unsupervised anomalous sound detection based on selective learning of time-frequency domain features,

Reference 35

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Observation a08983ce-a0d6-41c8-9f32-bd3d263a7163 · outbound

This paper cites Enhancing reliability through interpretability: A comprehensive survey of interpretable intelligent fault diagnosis in rotating machinery,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Enhancing reliability through interpretability: A comprehensive survey of interpretable intelligent fault diagnosis in rotating machinery,

Reference 36

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Observation 30782bab-6ffc-45a6-b30a-165f5bff225e · outbound

This paper cites Explainable artificial intelligence based intelligent fault diagnosis: A systematic review from applications to insights,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Explainable artificial intelligence based intelligent fault diagnosis: A systematic review from applications to insights,

Reference 37

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Observation b9fdd813-b719-4ade-88b2-fc991ec0c8b7 · outbound

This paper cites Attention is all you need,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Attention is all you need,

Reference 38

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Observation 33220571-18a4-4666-8e32-6e57763ff6de · outbound

This paper cites Anomalous sound detection using spectral-temporal information fusion,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Anomalous sound detection using spectral-temporal information fusion,

Reference 39

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Observation b3a4f423-dcd1-4682-9ad2-2c11774aff1f · outbound

This paper cites Multi-scale scanning network for machine anomalous sound detection,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Multi-scale scanning network for machine anomalous sound detection,

Reference 40

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Observation 8a20f76b-d0b7-4764-ab03-a7be2d18528c · outbound

This paper cites Multi-spectral and multi-temporal features fusion with se network for anomalous sound detection,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Multi-spectral and multi-temporal features fusion with se network for anomalous sound detection,

Reference 41

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source=pdf_text observed=2026-07-14T10:35:50.643862Z digest=sha256:c6e9de3adaae782fd0edb233a7e806cb4fe48ffec5690d901a62ffd66e346401

Observation c9341c66-a41b-41e9-8c98-cac730432118 · outbound

This paper cites Estm: An enhanced dual-branch spectral-temporal mamba for anomalous sound detection,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Estm: An enhanced dual-branch spectral-temporal mamba for anomalous sound detection,

Reference 42

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source=pdf_text observed=2026-07-14T10:35:50.643862Z digest=sha256:c8754c7ddf9646b421d5162ac2edc444996923e3af19bd215fc47dd201ae6fb4

Observation c1f45462-fbcc-4781-b499-f75e6728f522 · outbound

This paper cites Echo: Frequency-aware hierarchical encoding for variable-length signals,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Echo: Frequency-aware hierarchical encoding for variable-length signals,

Reference 43

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source=pdf_text observed=2026-07-14T10:35:50.643862Z digest=sha256:165ae29197966e2fa34493d61cf426f2be972aa664f72d961d5fd77304178524

Observation 49065796-d797-43be-a5fd-368bff46985d · outbound

This paper cites FISHER: A Foundation Model for Multi-Modal Industrial Signal Comprehensive Representation.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection FISHER: A Foundation Model for Multi-Modal Industrial Signal Comprehensive Representation

Reference 44

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source=pdf_text observed=2026-07-14T10:35:50.643862Z digest=sha256:d9268c23e17de84f22aba3b5bfaebc26863058c14c5b0b4a14a8092dd40d48be

Observation 24c39b7c-c772-4e85-9d17-3198fd1400a0 · outbound

This paper cites Hear: Holistic evaluation of audio representations,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Hear: Holistic evaluation of audio representations,

Reference 45

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source=pdf_text observed=2026-07-14T10:35:50.643862Z digest=sha256:dd8349f37e4a37949166769b5a94174f1464e1688ef8fa56f3dd060a494495e5

Observation 653a708a-d5a6-4bd7-bfaa-2063fb1e110d · outbound

This paper cites SUPERB: Speech Processing Universal PERformance Benchmark,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection SUPERB: Speech Processing Universal PERformance Benchmark,

Reference 46

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Observation dfe9f9f6-dd15-4da4-8908-d2cb99dcc26c · outbound

This paper cites X-ares: A comprehensive framework for assessing audio encoder performance,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection X-ares: A comprehensive framework for assessing audio encoder performance,

Reference 47

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source=pdf_text observed=2026-07-14T10:35:50.643862Z digest=sha256:257f64c04b8b6cdcfea88186a434d1929ba94b94ddefce3583ea79f9bc0098e1

Observation e19beba0-db4a-46e1-a5c6-566c9ba43036 · outbound

This paper cites Mimii dataset: Sound dataset for malfunctioning industrial machine investigation and inspection,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Mimii dataset: Sound dataset for malfunctioning industrial machine investigation and inspection,

Reference 48

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source=pdf_text observed=2026-07-14T10:35:50.643862Z digest=sha256:22c14c15277ae2bbc9c7d37c46046c93d7b1b8a6a9b399e18782565c6865d9df

Observation 855686c3-8d28-493a-b874-6dd908569142 · outbound

This paper cites Toyadmos: A dataset of miniature-machine operating sounds for anomalous sound detection,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Toyadmos: A dataset of miniature-machine operating sounds for anomalous sound detection,

Reference 49

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source=pdf_text observed=2026-07-14T10:35:50.643862Z digest=sha256:88979c9c80c3edfeef0c0fb17650b9ab609476b86d9d9d722d19ffbc34937e95

Observation b020e35e-a07c-4ed4-860f-ea2cb76bd14b · outbound

This paper cites Mimii due: Sound dataset for malfunctioning industrial machine investigation and inspection with domain shifts due to changes in operational and environmental conditions,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Mimii due: Sound dataset for malfunctioning industrial machine investigation and inspection with domain shifts due to changes in operational and environmental conditions,

Reference 50

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Observation 3949e414-539a-4d09-8952-01ef4203f394 · outbound

This paper cites Toyadmos2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Toyadmos2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions,

Reference 51

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Observation 9db994fa-18da-4cf5-b4b9-4b9514ea5f71 · outbound

This paper cites Mimii dg: Sound dataset for mal- functioning industrial machine investigation and inspection for domain generalization task,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Mimii dg: Sound dataset for mal- functioning industrial machine investigation and inspection for domain generalization task,

Reference 52

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Observation bc826d23-57d3-4ada-a024-37975171d8d1 · outbound

This paper cites Toyadmos2+: New toyadmos data and benchmark results of the first- shot anomalous sound event detection baseline,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Toyadmos2+: New toyadmos data and benchmark results of the first- shot anomalous sound event detection baseline,

Reference 53

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Observation 054b31cf-8eb6-45df-8742-c0a36d8ba5fd · outbound

This paper cites Toyadmos2#: Yet another dataset for the dcase2024 challenge task 2 first-shot anomalous sound detection,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Toyadmos2#: Yet another dataset for the dcase2024 challenge task 2 first-shot anomalous sound detection,

Reference 54

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Observation c61bb8c4-0041-40cf-a282-c7086740ff1d · outbound

This paper cites Toyadmos2025: The evaluation dataset for the dcase2025t2 first-shot unsupervised anomalous sound detection for machine condition moni- toring,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Toyadmos2025: The evaluation dataset for the dcase2025t2 first-shot unsupervised anomalous sound detection for machine condition moni- toring,

Reference 55

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source=pdf_text observed=2026-07-14T10:35:50.643862Z digest=sha256:1a6968b8a5b7b36c42934563554629f93a19f9fbe192bb9400168ca1a0b789b4

Observation 2dd4bf78-18c1-47ab-ae94-4eb1958c120d · outbound

This paper cites Imad-ds: A dataset for industrial multi-sensor anomaly detection under domain shift conditions,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Imad-ds: A dataset for industrial multi-sensor anomaly detection under domain shift conditions,

Reference 56

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source=pdf_text observed=2026-07-14T10:35:50.643862Z digest=sha256:ef3cd58149de542566ccd64e5b1cda95d17db647e02476c19d4d373bba3da9d3

Observation ba2bc318-386c-48d7-bc72-90386d7d7b79 · outbound

This paper cites Audio set: An ontology and human-labeled dataset for audio events,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Audio set: An ontology and human-labeled dataset for audio events,

Reference 57

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source=pdf_text observed=2026-07-14T10:35:50.643862Z digest=sha256:634cc874c1d397079c6165a0c6d3a6847fc8034b3b50629b3b6128e2d71cee84

Observation 6985406d-332a-4623-9063-70e1530d8225 · outbound

This paper cites Vggsound: A large- scale audio-visual dataset,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Vggsound: A large- scale audio-visual dataset,

Reference 58

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source=pdf_text observed=2026-07-14T10:35:50.643862Z digest=sha256:2054844985deb59f7f7ac61d2e4a504c721be588a1bb61f8249465b012129b5f

Observation d388aafc-9bb9-47c2-8d37-542830e4aca8 · outbound

This paper cites Acav100m: Automatic curation of large-scale datasets for audio-visual video representation learning,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Acav100m: Automatic curation of large-scale datasets for audio-visual video representation learning,

Reference 59

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source=pdf_text observed=2026-07-14T10:35:50.643862Z digest=sha256:9d3a30659e7071498276f41d0f4ea6effa69d97f6eb6c80470632d619e843ab9

Observation 12bc11f2-78eb-4c43-8a3c-5b46df41c8b2 · outbound

This paper cites The mtg- jamendo dataset for automatic music tagging,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection The mtg- jamendo dataset for automatic music tagging,

Reference 60

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source=pdf_text observed=2026-07-14T10:35:50.643862Z digest=sha256:ffa9e769e19c02b1ba1f9843cca611792040f4816ff086e9f78ca69b1dffe3a5

Observation 362ffbcd-6b64-45dd-99f1-d04423b22f1c · outbound

This paper cites Music4all: A new music database and its applications,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Music4all: A new music database and its applications,

Reference 61

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source=pdf_text observed=2026-07-14T10:35:50.643862Z digest=sha256:02ff7e5ad26934529c6c2fccaafb118976798b76abfd09cd500ab4707a70c12a

Observation de1f6cf5-20d3-42cc-96ff-fd1b2897dca9 · outbound

This paper cites Decoupled weight decay regularization,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Decoupled weight decay regularization,

Reference 62

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Observation 771740d9-cfb9-4e8e-91cc-a9f9e9dd0b55 · outbound

This paper cites Wavcaps: A chatgpt-assisted weakly-labelled audio captioning dataset for audio- language multimodal research,.

ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection Wavcaps: A chatgpt-assisted weakly-labelled audio captioning dataset for audio- language multimodal research,

Reference 63

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