Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T10:55:47.751760Z
Paper Citation Record · LEDGER
A hybrid parametric-deep learning approach for sound event localization and detection
As of 16 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:1908.10133.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T10:55:47.600463Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-14T10:55:47.846245Z
Reference resolution
35 of 35 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6d2817a0-423d-4608-818b-b3c0156191e8 · outbound
This paper cites an unresolved cited work.
A hybrid parametric-deep learning approach for sound event localization and detection Unresolved cited work
Reference 1
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 89b2e9ab-348d-412f-8e36-079fcd55380d · outbound
This paper cites A hybrid parametric-deep learning approach for sound event localization and detection.
A hybrid parametric-deep learning approach for sound event localization and detection A hybrid parametric-deep learning approach for sound event localization and detection
Reference 2
- Resolution
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Source-reported events for the cited work
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Observation d8804aeb-fad0-46d8-bc29-6cc44705158f · outbound
This paper cites Dataset, evaluation metrics and baseline system We use the TAU Spatial Sound Events 2019 - Ambisonic, which provides first-order ambisonic recordings.
A hybrid parametric-deep learning approach for sound event localization and detection Dataset, evaluation metrics and baseline system We use the TAU Spatial Sound Events 2019 - Ambisonic, which provides first-order ambisonic recordings
Reference 3
- Resolution
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Source-reported events for the cited work
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Observation 0e6d692a-5243-45be-b93a-398555d2e20d · outbound
This paper cites an unresolved cited work.
A hybrid parametric-deep learning approach for sound event localization and detection Unresolved cited work
Reference 4
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Source-reported events for the cited work
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Observation 301241c4-5883-42a7-88d3-adc97a0fc656 · outbound
This paper cites Our method relies on spatial parametric analysis for the computation of event DOAs, onsets and offsets.
A hybrid parametric-deep learning approach for sound event localization and detection Our method relies on spatial parametric analysis for the computation of event DOAs, onsets and offsets
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b6696ef9-d497-455b-b19c-8890a34b31ee · outbound
This paper cites Sound based localization and identification in industrial en- vironments,.
A hybrid parametric-deep learning approach for sound event localization and detection Sound based localization and identification in industrial en- vironments,
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c0b876bb-293f-48c1-9490-281103a7efd1 · outbound
This paper cites Two-source acoustic event detection and localization: On- line implementation in a smart-room,.
A hybrid parametric-deep learning approach for sound event localization and detection Two-source acoustic event detection and localization: On- line implementation in a smart-room,
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 347ea029-c3e2-48c0-95eb-e36b8c057d3b · outbound
This paper cites Sound-model-based acous- tic source localization using distributed microphone arrays,.
A hybrid parametric-deep learning approach for sound event localization and detection Sound-model-based acous- tic source localization using distributed microphone arrays,
Reference 8
- Resolution
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Source-reported events for the cited work
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Observation 1a5b2041-494a-49df-bc74-752ca440e459 · outbound
This paper cites Classification of spatial audio location and con- tent using convolutional neural networks,.
A hybrid parametric-deep learning approach for sound event localization and detection Classification of spatial audio location and con- tent using convolutional neural networks,
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation c3e7c250-fa33-4ef6-8a59-4cccff0666a6 · outbound
This paper cites Detection, classi- fication and localization of acoustic events in the presence of background noise for acoustic surveillance of hazardous sit- uations,.
A hybrid parametric-deep learning approach for sound event localization and detection Detection, classi- fication and localization of acoustic events in the presence of background noise for acoustic surveillance of hazardous sit- uations,
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7e322063-c582-49e5-87f8-eb4aea44c042 · outbound
This paper cites Sound event localization and detection of overlapping sources using convolutional recurrent neural networks,.
A hybrid parametric-deep learning approach for sound event localization and detection Sound event localization and detection of overlapping sources using convolutional recurrent neural networks,
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4ac1c582-4ca3-462c-abe4-f24bf1b554fb · outbound
This paper cites Periphony: With-height sound reproduction,.
A hybrid parametric-deep learning approach for sound event localization and detection Periphony: With-height sound reproduction,
Reference 12
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation eaf49036-845f-4019-80c8-ab0b1ef56375 · outbound
This paper cites Repr ´esentation de champs acoustiques, application `a la transmission et `a la reproduction de sc `enes sonores com- plexes dans un contexte multim´edia,.
A hybrid parametric-deep learning approach for sound event localization and detection Repr ´esentation de champs acoustiques, application `a la transmission et `a la reproduction de sc `enes sonores com- plexes dans un contexte multim´edia,
Reference 13
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 669094eb-3363-474a-87d2-ef8994c6dc55 · outbound
This paper cites Directional audio coding in spatial sound repro- duction and stereo upmixing,.
A hybrid parametric-deep learning approach for sound event localization and detection Directional audio coding in spatial sound repro- duction and stereo upmixing,
Reference 14
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 797a8dc2-467a-4710-b4f4-1f04188e6e24 · outbound
This paper cites High angular resolution planewave expansion,.
A hybrid parametric-deep learning approach for sound event localization and detection High angular resolution planewave expansion,
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8916a53c-e986-4d6c-85e1-0ffcec75b6b9 · outbound
This paper cites COMPASS: Cod- ing and Multidirectional Parameterization of Ambisonic Sound Scenes,.
A hybrid parametric-deep learning approach for sound event localization and detection COMPASS: Cod- ing and Multidirectional Parameterization of Ambisonic Sound Scenes,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:55:48.083231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a08278af-27e1-4089-b436-e0670c63dc2d · outbound
This paper cites Pulkki, S.
A hybrid parametric-deep learning approach for sound event localization and detection Pulkki, S
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f84e1edf-8768-439b-a1e8-ba4c4da1ba19 · outbound
This paper cites an unresolved cited work.
A hybrid parametric-deep learning approach for sound event localization and detection Unresolved cited work
Reference 18
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 648db88b-0140-4fc3-b7e0-4b0f1099e08e · outbound
This paper cites Normalization schemes in ambisonic: does it matter?.
A hybrid parametric-deep learning approach for sound event localization and detection Normalization schemes in ambisonic: does it matter?
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1aff59f0-9670-4a7e-aca1-ec3ec7201541 · outbound
This paper cites Reactive acoustic in- tensity for general fields and energy polarization,.
A hybrid parametric-deep learning approach for sound event localization and detection Reactive acoustic in- tensity for general fields and energy polarization,
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0c2105fe-16c2-420d-8bd9-8af8d7a028d9 · outbound
This paper cites Spatial impulse response rendering i: Analysis and synthesis,.
A hybrid parametric-deep learning approach for sound event localization and detection Spatial impulse response rendering i: Analysis and synthesis,
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 945c5cbf-4e2b-40e5-bd15-29a8d4c47819 · outbound
This paper cites Rectified linear units improve re- stricted boltzmann machines,.
A hybrid parametric-deep learning approach for sound event localization and detection Rectified linear units improve re- stricted boltzmann machines,
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c819b670-b684-4659-b36d-811a80140142 · outbound
This paper cites A multi- room reverberant dataset for sound event localization and uetection,.
A hybrid parametric-deep learning approach for sound event localization and detection A multi- room reverberant dataset for sound event localization and uetection,
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f1613a2b-fb3f-485d-90e1-278a20035f80 · outbound
This paper cites A simple fusion of deep and shallow learning for acoustic scene classification,.
A hybrid parametric-deep learning approach for sound event localization and detection A simple fusion of deep and shallow learning for acoustic scene classification,
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 08821fd1-4938-4efa-a5b8-3fe887f36e9b · outbound
This paper cites Learning sound event classifiers from web audio with noisy labels,.
A hybrid parametric-deep learning approach for sound event localization and detection Learning sound event classifiers from web audio with noisy labels,
Reference 25
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2e647179-94d9-4755-a776-9eef827dc3d0 · outbound
This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.
A hybrid parametric-deep learning approach for sound event localization and detection MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Reference 26
- Resolution
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Source-reported events for the cited work
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Observation 0b8bf1ae-3855-49fb-bfcc-a3ed8978b046 · outbound
This paper cites Convolutional recurrent neural networks for polyphonic sound event detection,.
A hybrid parametric-deep learning approach for sound event localization and detection Convolutional recurrent neural networks for polyphonic sound event detection,
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6f4119c4-b075-44cd-a319-6f09e64090f1 · outbound
This paper cites Dropout: a simple way to prevent neural networks from overfitting,.
A hybrid parametric-deep learning approach for sound event localization and detection Dropout: a simple way to prevent neural networks from overfitting,
Reference 28
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2970b81d-3085-4f73-b0ee-2177153d3699 · outbound
This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift,.
A hybrid parametric-deep learning approach for sound event localization and detection Batch normalization: Accelerating deep network training by reducing internal covariate shift,
Reference 29
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 639ac18e-f724-4ac5-abb5-8c1dd256c748 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
A hybrid parametric-deep learning approach for sound event localization and detection Adam: A Method for Stochastic Optimization
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f75792ef-aae9-4e58-8d45-c90ac4880dca · outbound
This paper cites mixup: Beyond Empirical Risk Minimization.
A hybrid parametric-deep learning approach for sound event localization and detection mixup: Beyond Empirical Risk Minimization
Reference 32
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0dd01fe-2dfa-4a02-a552-6a7149c06cb8 · outbound
This paper cites Model-agnostic ap- proaches to handling noisy labels when training sound event classifiers,.
A hybrid parametric-deep learning approach for sound event localization and detection Model-agnostic ap- proaches to handling noisy labels when training sound event classifiers,
Reference 33
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 84b3beb3-067c-45d0-b0dc-68b485bcd676 · outbound
This paper cites Detecting the num- ber of clusters in n-way probabilistic clustering,.
A hybrid parametric-deep learning approach for sound event localization and detection Detecting the num- ber of clusters in n-way probabilistic clustering,
Reference 34
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 238f845e-91fe-4fa3-8db5-e30d80cf098e · outbound
This paper cites Perpendicular Cross-Spectra Fusion for Sound Source Localization with a Planar Microphone Array,.
A hybrid parametric-deep learning approach for sound event localization and detection Perpendicular Cross-Spectra Fusion for Sound Source Localization with a Planar Microphone Array,
Reference 35
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6e436c34-9907-4d80-b911-fdd5c6a7025d · outbound
This paper cites A multi-room reverberant dataset for sound event localization and detection.
A hybrid parametric-deep learning approach for sound event localization and detection A multi-room reverberant dataset for sound event localization and detection
Reference 2019
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 89b2e9ab-348d-412f-8e36-079fcd55380d · inbound
A hybrid parametric-deep learning approach for sound event localization and detection cites this paper.
A hybrid parametric-deep learning approach for sound event localization and detection A hybrid parametric-deep learning approach for sound event localization and detection
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.