The iNaturalist Sounds Dataset | Paper Citation Record

Observation d7c5d05a-3407-40bf-930f-aeda84baadd3 · outbound

This paper cites Acoustic scene classification using parallel combination of lstm and cnn.

The iNaturalist Sounds Dataset Acoustic scene classification using parallel combination of lstm and cnn

Reference 1

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Observation c50c0e50-2e70-4379-94dc-c8b71144464f · outbound

This paper cites Whombat: An open-source annotation tool for machine learning development in bioacoustics.

The iNaturalist Sounds Dataset Whombat: An open-source annotation tool for machine learning development in bioacoustics

Reference 2

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Observation 5ca88563-a817-4123-805b-37cc05bf1411 · outbound

This paper cites Improving geographically extensive acoustic survey designs for modeling species occurrence with imperfect detection and misidentification.

The iNaturalist Sounds Dataset Improving geographically extensive acoustic survey designs for modeling species occurrence with imperfect detection and misidentification

Reference 3

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Observation 216ebe33-6b8e-401d-b26d-a335908cfacb · outbound

This paper cites Birdsnap: Large-scale fine-grained visual categorization of birds.

The iNaturalist Sounds Dataset Birdsnap: Large-scale fine-grained visual categorization of birds

Reference 4

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Observation 94b34622-85c4-4c72-abe9-8f2283888fd2 · outbound

This paper cites Visual recognition with humans in the loop.

The iNaturalist Sounds Dataset Visual recognition with humans in the loop

Reference 5

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Observation 8903b52b-38be-458b-995f-6a476cae1928 · outbound

This paper cites Bird species categorization using pose normalized deep convolutional nets.

The iNaturalist Sounds Dataset Bird species categorization using pose normalized deep convolutional nets

Reference 6

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Observation 7a12ac80-a314-4fbc-8270-c6428833e0bf · outbound

This paper cites Multi-label learning with incomplete class assignments.

The iNaturalist Sounds Dataset Multi-label learning with incomplete class assignments

Reference 7

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Observation cb68f0ea-de4c-42a6-b427-261b5bfe4b34 · outbound

This paper cites A dataset for benchmarking neotropical anuran calls identification in passive acoustic monitoring.

The iNaturalist Sounds Dataset A dataset for benchmarking neotropical anuran calls identification in passive acoustic monitoring

Reference 8

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Observation ff1a4727-dce1-4854-a57a-9ee50d07856d · outbound

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

The iNaturalist Sounds Dataset VGGSound: A large-scale audio- visual dataset

Reference 9

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Observation 9c79e4af-b853-4a00-85f9-50cbffa21cd0 · outbound

This paper cites Convolutional recurrent neural networks for music classification.

The iNaturalist Sounds Dataset Convolutional recurrent neural networks for music classification

Reference 10

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Observation 61c1f781-e72e-463b-abec-0ef45f6c42b3 · outbound

This paper cites An annotated set of audio recordings of eastern north american birds containing frequency, time, and species information, 2021.

The iNaturalist Sounds Dataset An annotated set of audio recordings of eastern north american birds containing frequency, time, and species information, 2021

Reference 11

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Observation e808a306-0cc9-4f53-bba5-513def35beb1 · outbound

This paper cites A collection of fully-annotated soundscape recordings from the southern sierra nevada mountain range.

The iNaturalist Sounds Dataset A collection of fully-annotated soundscape recordings from the southern sierra nevada mountain range

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:04.812416Z

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Observation 8ee67c2d-1575-4355-97b4-c25db4306e3d · outbound

This paper cites Multi-label learning from single positive labels.

The iNaturalist Sounds Dataset Multi-label learning from single positive labels

Reference 13

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Observation 2111f9ba-e057-4fbe-a13d-690c4a21a94c · outbound

This paper cites Spatial implicit neural representations for global-scale species mapping.

The iNaturalist Sounds Dataset Spatial implicit neural representations for global-scale species mapping

Reference 14

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Observation dfc7012c-42b6-4224-a5bb-9ade37867fe1 · outbound

This paper cites Chirping up the right tree: Incorporating biological taxonomies into deep bioacoustic classifiers.

The iNaturalist Sounds Dataset Chirping up the right tree: Incorporating biological taxonomies into deep bioacoustic classifiers

Reference 15

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Observation b0133864-889f-43dd-871e-f6bb2d1b887c · outbound

This paper cites https://dcase.community/, 2024.

The iNaturalist Sounds Dataset https://dcase.community/, 2024

Reference 16

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Observation 49ad595e-1a96-485a-8c8a-0b34744200d1 · outbound

This paper cites FMA: A Dataset For Music Analysis.

The iNaturalist Sounds Dataset FMA: A Dataset For Music Analysis

Reference 17

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Observation 66a07c1f-b53b-43ce-9ba2-8e043bed0387 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

The iNaturalist Sounds Dataset Imagenet: A large-scale hierarchical image database

Reference 18

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Observation e74bb99d-337a-43f1-bfb1-a49d7f75e8c3 · outbound

This paper cites Audio Retrieval with WavText5K and CLAP Training.

The iNaturalist Sounds Dataset Audio Retrieval with WavText5K and CLAP Training

Reference 19

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Observation 32b862ee-8a63-4db9-8ae5-a4aaac7d23e0 · outbound

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

The iNaturalist Sounds Dataset An image is worth 16x16 words: Transformers for image recognition at scale

Reference 20

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Observation 6660c136-9008-4dbf-98c9-867b1b321125 · outbound

This paper cites Clotho: An audio captioning dataset.

The iNaturalist Sounds Dataset Clotho: An audio captioning dataset

Reference 21

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Observation 6dc26e09-8a55-43a1-a56f-419322d33567 · outbound

This paper cites Clap learning audio concepts from natural language supervision.

The iNaturalist Sounds Dataset Clap learning audio concepts from natural language supervision

Reference 22

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Observation 87098ca1-5ea3-40d5-babd-fa8864a28b7a · outbound

This paper cites Neural audio synthesis of musical notes with wavenet autoencoders.

The iNaturalist Sounds Dataset Neural audio synthesis of musical notes with wavenet autoencoders

Reference 23

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Observation 0d417204-beec-4433-a752-6cbee6064fec · outbound

This paper cites Fsd50k: an open dataset of human-labeled sound events.

The iNaturalist Sounds Dataset Fsd50k: an open dataset of human-labeled sound events

Reference 24

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Observation 74d9ef5b-0ad2-4b7b-9341-508d1af67621 · outbound

This paper cites https://freesound.org/, 2024.

The iNaturalist Sounds Dataset https://freesound.org/, 2024

Reference 25

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Observation a3eb7bd1-3da2-4248-9e95-179bcd15cf86 · outbound

This paper cites https://labs.freesound.org/datasets/, 2024.

The iNaturalist Sounds Dataset https://labs.freesound.org/datasets/, 2024

Reference 26

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Observation f671c60e-ef10-46a4-ab24-423ca799db21 · outbound

This paper cites Gemmeke, Daniel P.

The iNaturalist Sounds Dataset Gemmeke, Daniel P

Reference 27

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Observation 99579a8d-d606-41bc-a2d9-6d65b565d993 · outbound

This paper cites Global birdsong embeddings enable superior transfer learning for bioacoustic classification.

The iNaturalist Sounds Dataset Global birdsong embeddings enable superior transfer learning for bioacoustic classification

Reference 28

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Observation 4765da20-ac99-4da3-ae6f-b8765454236d · outbound

This paper cites Aves: Animal vocalization encoder based on self-supervision.

The iNaturalist Sounds Dataset Aves: Animal vocalization encoder based on self-supervision

Reference 29

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Observation 4f1f74a0-61f0-49ab-b2d3-b02814fb844a · outbound

This paper cites Beans: The benchmark of animal sounds.

The iNaturalist Sounds Dataset Beans: The benchmark of animal sounds

Reference 30

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Observation 8d2b7d40-4ac4-425e-85f8-7186443bd2bd · outbound

This paper cites Deep residual learning for image recognition.

The iNaturalist Sounds Dataset Deep residual learning for image recognition

Reference 31

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Observation 8323e412-9360-4975-85db-8562539f726d · outbound

This paper cites A new benchmark and approach for fine-grained cross-media retrieval.

The iNaturalist Sounds Dataset A new benchmark and approach for fine-grained cross-media retrieval

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:06.678137Z

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Observation 2480e46f-0116-4735-aa28-5878fa3a443d · outbound

This paper cites Alexander Hopping, Stefan Kahl, and Holger Klinck.

The iNaturalist Sounds Dataset Alexander Hopping, Stefan Kahl, and Holger Klinck

Reference 33

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Observation 49983841-9ac8-4bd8-93e3-748260d8f7db · outbound

This paper cites Meta-learning in neural networks: A survey.

The iNaturalist Sounds Dataset Meta-learning in neural networks: A survey

Reference 34

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Observation 61be1afa-2af7-475e-854e-e8906af8ec46 · outbound

This paper cites Searching for mobilenetv3.

The iNaturalist Sounds Dataset Searching for mobilenetv3

Reference 35

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Observation 9fb73331-0f51-4626-8f57-5d03cee6a4ed · outbound

This paper cites https://www.inaturalist.org, 2024.

The iNaturalist Sounds Dataset https://www.inaturalist.org, 2024

Reference 36

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Observation ff93cb38-5239-4def-a3e2-f4b4345a309f · outbound

This paper cites Spatial transformer networks.

The iNaturalist Sounds Dataset Spatial transformer networks

Reference 37

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Observation 8edfc603-41b9-4596-ab17-22df2cb5f82f · outbound

This paper cites Cochlscene: Acquisition of acoustic scene data using crowdsourcing.

The iNaturalist Sounds Dataset Cochlscene: Acquisition of acoustic scene data using crowdsourcing

Reference 38

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Observation d291d6a1-5549-4c1b-aba7-4f89dd1be42c · outbound

This paper cites Learning visual features from large weakly supervised data.

The iNaturalist Sounds Dataset Learning visual features from large weakly supervised data

Reference 39

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Observation bc978da1-7358-4977-abe0-bbb92046649c · outbound

This paper cites Birdnet: A deep learning solution for avian diversity monitoring.

The iNaturalist Sounds Dataset Birdnet: A deep learning solution for avian diversity monitoring

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:26.824664Z

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Observation 01e74db1-7eb3-4876-9425-888db6d58a56 · outbound

This paper cites A collection of fully-annotated soundscape recordings from the northeastern united states, august 2022a.

The iNaturalist Sounds Dataset A collection of fully-annotated soundscape recordings from the northeastern united states, august 2022a

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:26.668923Z

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Observation 129e2be3-04e9-4a5f-beb9-f244bfcb75d2 · outbound

This paper cites Wood, Philip Chaon, M.

The iNaturalist Sounds Dataset Wood, Philip Chaon, M

Reference 42

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Observation 4a1d05fe-7738-487d-84bf-9d7a0a00d77e · outbound

This paper cites Slow-fast auditory streams for audio recognition.

The iNaturalist Sounds Dataset Slow-fast auditory streams for audio recognition

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:26.415208Z

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Observation 8fbc6f5c-5d8c-4322-83f8-7c02d4ecd02a · outbound

This paper cites Audiocaps: Generating captions for audios in the wild.

The iNaturalist Sounds Dataset Audiocaps: Generating captions for audios in the wild

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:26.250667Z

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Observation 21780237-dbee-4797-97e0-382c23bd921b · outbound

This paper cites Expanding neon biodiversity surveys with new instrumentation and machine learning approaches.

The iNaturalist Sounds Dataset Expanding neon biodiversity surveys with new instrumentation and machine learning approaches

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:26.077371Z

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Observation b49d63f0-d225-41ac-90c9-268d86b7b672 · outbound

This paper cites Birdclef 2024, 2024.

The iNaturalist Sounds Dataset Birdclef 2024, 2024

Reference 46

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Observation 78ca00ed-4d95-4eeb-8914-d9ac8b970d62 · outbound

This paper cites Audio retrieval with natural language queries: A benchmark study.

The iNaturalist Sounds Dataset Audio retrieval with natural language queries: A benchmark study

Reference 47

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Observation 7892523e-cf78-4b64-8f52-edb73a88d3ca · outbound

This paper cites Whittlesearch: Image search with relative attribute feedback.

The iNaturalist Sounds Dataset Whittlesearch: Image search with relative attribute feedback

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:25.568091Z

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Observation 38115d19-b5f1-47e3-aff2-72e4baa52e4a · outbound

This paper cites The unreasonable effectiveness of noisy data for fine-grained recognition.

The iNaturalist Sounds Dataset The unreasonable effectiveness of noisy data for fine-grained recognition

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:25.419717Z

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Observation 2bb2981c-5a69-474b-91dd-300ebcb5ec7d · outbound

This paper cites Exploiting weakly supervised visual patterns to learn from partial annotations.

The iNaturalist Sounds Dataset Exploiting weakly supervised visual patterns to learn from partial annotations

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:25.277301Z

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Observation 44955eda-30d1-4567-aef3-eb46ccb0fdb8 · outbound

This paper cites Active learning-based species range estimation.

The iNaturalist Sounds Dataset Active learning-based species range estimation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:25.142109Z

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Observation d81f9a79-cd2c-4146-b839-13b3c2243cae · outbound

This paper cites Meta-learning with differen- tiable convex optimization.

The iNaturalist Sounds Dataset Meta-learning with differen- tiable convex optimization

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:25.020239Z

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Observation c800f20e-ab13-490f-ad7b-94148d15df23 · outbound

This paper cites Integrating new technologies to broaden the scope of northern spotted owl monitoring and linkage with usda forest inventory data.

The iNaturalist Sounds Dataset Integrating new technologies to broaden the scope of northern spotted owl monitoring and linkage with usda forest inventory data

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:24.881618Z

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Observation f5a41d4a-c2f7-447a-b1fe-177add36e004 · outbound

This paper cites https://www.imageclef.org/LifeCLEF, 2024.

The iNaturalist Sounds Dataset https://www.imageclef.org/LifeCLEF, 2024

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:24.739617Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 419f7345-4345-4007-9f22-7603d307db8a · outbound

This paper cites Bilinear cnn models for fine-grained visual recognition.

The iNaturalist Sounds Dataset Bilinear cnn models for fine-grained visual recognition

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:24.623253Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6644df68-1c33-4db2-b737-814382df00d9 · outbound

This paper cites Clotho-aqa: A crowdsourced dataset for audio question answering.

The iNaturalist Sounds Dataset Clotho-aqa: A crowdsourced dataset for audio question answering

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:24.507564Z

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Observation 1d6d1fde-ad1d-4581-b63c-218aac638acf · outbound

This paper cites iNaturalist Observation Accuracy Experiment (0.3), 2024.

The iNaturalist Sounds Dataset iNaturalist Observation Accuracy Experiment (0.3), 2024

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:24.395660Z

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Observation b071642e-3712-46e9-a883-7610f6c76e01 · outbound

This paper cites Birdvox- full-night: A dataset and benchmark for avian flight call detection.

The iNaturalist Sounds Dataset Birdvox- full-night: A dataset and benchmark for avian flight call detection

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:24.256043Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 40195d35-bf45-483a-b085-75f84f7a9052 · outbound

This paper cites Building naturalistic emotionally balanced speech corpus by retrieving emotional speech from existing podcast recordings.

The iNaturalist Sounds Dataset Building naturalistic emotionally balanced speech corpus by retrieving emotional speech from existing podcast recordings

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:10.542820Z

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Observation 267ebfdf-b239-4951-8185-fd248ce5585f · outbound

This paper cites Teaching categories to human learners with visual explanations.

The iNaturalist Sounds Dataset Teaching categories to human learners with visual explanations

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:24.111115Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 62215056-669d-4a5c-be06-808bb315bbd4 · outbound

This paper cites Presence-only geographical priors for fine-grained image classification.

The iNaturalist Sounds Dataset Presence-only geographical priors for fine-grained image classification

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:23.934772Z

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Observation 27c7d193-fca2-4f89-a309-9dd1762f13f4 · outbound

This paper cites https://www.macaulaylibrary.org, 2024.

The iNaturalist Sounds Dataset https://www.macaulaylibrary.org, 2024

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:23.739594Z

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Observation 83e887b1-d82c-4e50-91f4-b90c834cd6a5 · outbound

This paper cites Exploring the limits of weakly supervised pretraining.

The iNaturalist Sounds Dataset Exploring the limits of weakly supervised pretraining

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:23.579708Z

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Observation 7f7defe8-e4d9-4e1a-8876-7b69d8652b81 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

The iNaturalist Sounds Dataset Fine-Grained Visual Classification of Aircraft

Reference 64

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Observation be3e451b-09e7-464f-a5fa-11340c8ffd79 · outbound

This paper cites What is the ground truth? reliability of multi-annotator data for audio tagging.

The iNaturalist Sounds Dataset What is the ground truth? reliability of multi-annotator data for audio tagging

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:23.427807Z

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Observation 2d906e0d-a265-47eb-ac71-106c5ba237b5 · outbound

This paper cites WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research.

The iNaturalist Sounds Dataset WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research

Reference 66

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Observation ec7119d6-41a1-4bbe-b8d7-1adb007af339 · outbound

This paper cites https://merlin.allaboutbirds.org/sound-id/, 2024.

The iNaturalist Sounds Dataset https://merlin.allaboutbirds.org/sound-id/, 2024

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:23.235720Z

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Observation 8f68410c-ede9-4226-9d4b-32dbfbfd3c6e · outbound

This paper cites Mesaros, T.

The iNaturalist Sounds Dataset Mesaros, T

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:23.063074Z

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Observation 4f37a2af-8cd0-49dd-a863-c5e0495e6327 · outbound

This paper cites Nips4bplus: a richly annotated birdsong audio dataset.

The iNaturalist Sounds Dataset Nips4bplus: a richly annotated birdsong audio dataset

Reference 69

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Observation b11e4fc0-ac9e-4f44-9cb9-09263aca120c · outbound

This paper cites A collection of fully-annotated soundscape recordings from the island of hawaii.

The iNaturalist Sounds Dataset A collection of fully-annotated soundscape recordings from the island of hawaii

Reference 70

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Observation eec9fb7b-751b-4b90-83c1-c22c096089bd · outbound

This paper cites A visual vocabulary for flower classification.

The iNaturalist Sounds Dataset A visual vocabulary for flower classification

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:22.759399Z

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Observation 7e97b976-e419-4b53-8743-ecc94a841081 · outbound

This paper cites Recurrent neural networks for polyphonic sound event detection in real life recordings.

The iNaturalist Sounds Dataset Recurrent neural networks for polyphonic sound event detection in real life recordings

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:22.605261Z

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Observation 0edeb5a5-3fb0-41be-b637-e287ca546988 · outbound

This paper cites Specaugment: A simple data augmentation method for automatic speech recognition.

The iNaturalist Sounds Dataset Specaugment: A simple data augmentation method for automatic speech recognition

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:22.433057Z

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Observation 93dadf24-372d-418a-a42c-3a9bfd8ff93f · outbound

This paper cites Study of positional encoding approaches for audio spectrogram transformers.

The iNaturalist Sounds Dataset Study of positional encoding approaches for audio spectrogram transformers

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:22.275926Z

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Observation e00cad95-108f-406f-be15-6fe081afac7f · outbound

This paper cites Esc: Dataset for environmental sound classification.

The iNaturalist Sounds Dataset Esc: Dataset for environmental sound classification

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:22.095843Z

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Observation a697153e-9716-4d59-805b-fa1de5b2fffa · outbound

This paper cites Soundscape ecology: the science of sound in the landscape.

The iNaturalist Sounds Dataset Soundscape ecology: the science of sound in the landscape

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:21.939573Z

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Observation 08cbe19a-afec-47a9-93eb-ee42b94ebd1b · outbound

This paper cites MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations.

The iNaturalist Sounds Dataset MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

Reference 77

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Observation f79468c9-d1e5-4f7d-a344-74d16ae2488b · outbound

This paper cites BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics.

The iNaturalist Sounds Dataset BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics

Reference 78

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This paper cites An automatic classifier of bat sonotypes around the world.

The iNaturalist Sounds Dataset An automatic classifier of bat sonotypes around the world

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:21.797009Z

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Observation c3bd91fa-1949-44a7-98ff-e53aba499e03 · outbound

This paper cites A dataset and taxonomy for urban sound research.

The iNaturalist Sounds Dataset A dataset and taxonomy for urban sound research

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:21.572445Z

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Observation 424243c3-b14d-47ce-b0c1-9596f281ab3f · outbound

This paper cites Towards the automatic classification of avian flight calls for bioacoustic monitoring.

The iNaturalist Sounds Dataset Towards the automatic classification of avian flight calls for bioacoustic monitoring

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:21.407763Z

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Observation 1c6025e9-6525-4d59-a27b-f73f1ddbdacd · outbound

This paper cites Prototypical networks for few-shot learning.

The iNaturalist Sounds Dataset Prototypical networks for few-shot learning

Reference 82

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This paper cites Multi-label learning with weak label.

The iNaturalist Sounds Dataset Multi-label learning with weak label

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:21.174272Z

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Observation 10ed8aec-17d6-412e-93fc-8314496c5b62 · outbound

This paper cites Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results.Advances in neural information processing systems, 30, 2017.

The iNaturalist Sounds Dataset Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results.Advances in neural information processing systems, 30, 2017

Reference 84

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Observation b21ea80e-6cba-43a2-9f6d-cccb6a2ef7ed · outbound

This paper cites Classification of acoustic events using svm-based clustering schemes.

The iNaturalist Sounds Dataset Classification of acoustic events using svm-based clustering schemes

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:21.049747Z

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Observation 643aef9b-21be-47a7-b499-affccbe66ff1 · outbound

This paper cites Perspectives in machine learning for wildlife conservation.

The iNaturalist Sounds Dataset Perspectives in machine learning for wildlife conservation

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:20.908328Z

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Observation 5536522e-0ab6-4d5d-9ae4-17c6dd38e7a9 · outbound

This paper cites Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection.

The iNaturalist Sounds Dataset Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:20.742076Z

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Observation 111ee493-d4d5-4778-ba22-91fa3f6d7473 · outbound

This paper cites Benchmarking representation learning for natural world image collections.

The iNaturalist Sounds Dataset Benchmarking representation learning for natural world image collections

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:20.555734Z

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Observation e294962c-91a8-46b0-9478-76e0df475789 · outbound

This paper cites Exploring fine-grained audiovisual categorization with the SSW60 dataset.

The iNaturalist Sounds Dataset Exploring fine-grained audiovisual categorization with the SSW60 dataset

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:20.365029Z

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Observation d11ba300-8c9c-4fc3-a7f7-13ea559b685d · outbound

This paper cites Understanding objects in detail with fine-grained attributes.

The iNaturalist Sounds Dataset Understanding objects in detail with fine-grained attributes

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:20.156967Z

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Observation 1f529dbc-4b8c-41a3-943a-eabadaa4e1a1 · outbound

This paper cites A collection of fully-annotated soundscape recordings from neotropical coffee farms in colombia and costa rica.

The iNaturalist Sounds Dataset A collection of fully-annotated soundscape recordings from neotropical coffee farms in colombia and costa rica

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:19.960453Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b9768811-1303-4817-bef2-42bee0aac3f7 · outbound

This paper cites Audio Transformers.

The iNaturalist Sounds Dataset Audio Transformers

Reference 92

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:12:16.963449Z

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Observation 480ccd47-86ce-475a-bab2-dd921245f6a5 · outbound

This paper cites Towards automatic bird detection: An annotated and segmented acoustic dataset of seven picidae species.

The iNaturalist Sounds Dataset Towards automatic bird detection: An annotated and segmented acoustic dataset of seven picidae species

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:19.793100Z

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Observation 0c041cc8-3e22-445c-b421-dbd87565e7da · outbound

This paper cites an unresolved cited work.

The iNaturalist Sounds Dataset Unresolved cited work

Reference 94

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Observation 6322413d-bc1b-4c1f-8b0f-0af3870b9f3b · outbound

This paper cites Early detection of rapid barred owl population growth within the range of the california spotted owl advises the precautionary principle.

The iNaturalist Sounds Dataset Early detection of rapid barred owl population growth within the range of the california spotted owl advises the precautionary principle

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:19.597305Z

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Observation f8f708d7-1c81-4c4a-97af-9b5f1f2bd6f0 · outbound

This paper cites https://xeno-canto.org, 2024.

The iNaturalist Sounds Dataset https://xeno-canto.org, 2024

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:19.428406Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 02c7c0df-bb2b-43fb-bd43-6fe2a1dc43dd · outbound

This paper cites Zero-shot learning—a compre- hensive evaluation of the good, the bad and the ugly.

The iNaturalist Sounds Dataset Zero-shot learning—a compre- hensive evaluation of the good, the bad and the ugly

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:19.209835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4932e04e-7304-4d1d-9cf1-7dac0c7c270d · outbound

This paper cites Large-scale weakly supervised audio classification using gated convolutional neural network.

The iNaturalist Sounds Dataset Large-scale weakly supervised audio classification using gated convolutional neural network

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:19.036543Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8e7067be-5ebc-4187-8565-d3152bfddf84 · outbound

This paper cites Automated classification of avian vocal activity using acoustic indices in regional and heterogeneous datasets.

The iNaturalist Sounds Dataset Automated classification of avian vocal activity using acoustic indices in regional and heterogeneous datasets

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:18.888233Z

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Observation 5de79592-b2c5-47ef-9932-ac46c0feba49 · outbound

This paper cites MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos.

The iNaturalist Sounds Dataset MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos

Reference 100

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