Paper Citation Record · LEDGER

A hybrid parametric-deep learning approach for sound event localization and detection

As of 20 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.

pith.paper-citation-record.v1
1908.10133 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:55:47.751760Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:55:47.600463Z

measured 0 of 1 external citation measurements

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

verified exact0
verified fuzzy25
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch1

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

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:55:48.286391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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: metadata mismatch; local_arxiv, observed 2026-08-14T10:55:47.852508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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: verified fuzzy; raw_fallback, observed 2026-08-14T10:55:48.272528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:55:48.256864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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: verified fuzzy; raw_fallback, observed 2026-08-14T10:55:48.241646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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: verified fuzzy; raw_fallback, observed 2026-08-14T10:55:48.227843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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: verified fuzzy; raw_fallback, observed 2026-08-14T10:55:48.214438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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: verified fuzzy; raw_fallback, observed 2026-08-14T10:55:48.200899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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: verified fuzzy; raw_fallback, observed 2026-08-14T10:55:48.186439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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: verified fuzzy; raw_fallback, observed 2026-08-14T10:55:48.171657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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: verified fuzzy; raw_fallback, observed 2026-08-14T10:55:48.156640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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: verified fuzzy; raw_fallback, observed 2026-08-14T10:55:48.141139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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: verified fuzzy; raw_fallback, observed 2026-08-14T10:55:48.126964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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: verified fuzzy; raw_fallback, observed 2026-08-14T10:55:48.112193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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; raw_fallback, observed 2026-08-14T10:55:48.097857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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; raw_fallback, observed 2026-08-14T10:55:48.068936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:55:48.054762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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; raw_fallback, observed 2026-08-14T10:55:48.040737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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: verified fuzzy; raw_fallback, observed 2026-08-14T10:55:48.026066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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: verified fuzzy; raw_fallback, observed 2026-08-14T10:55:48.010775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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; raw_fallback, observed 2026-08-14T10:55:47.996337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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; raw_fallback, observed 2026-08-14T10:55:47.981912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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; raw_fallback, observed 2026-08-14T10:55:47.915048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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: verified fuzzy; raw_fallback, observed 2026-08-14T10:55:47.966089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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: unresolved; no resolver link, observed 2026-08-14T10:55:47.710711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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; raw_fallback, observed 2026-08-14T10:55:47.950398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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: unresolved; no resolver link, observed 2026-08-14T10:55:47.720126Z

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: unresolved; no resolver link, observed 2026-08-14T10:55:47.724636Z

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: unresolved; no resolver link, observed 2026-08-14T10:55:47.733951Z

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: unresolved; no resolver link, observed 2026-08-14T10:55:47.738544Z

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; raw_fallback, observed 2026-08-14T10:55:47.899481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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; raw_fallback, observed 2026-08-14T10:55:47.883324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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; raw_fallback, observed 2026-08-14T10:55:47.867879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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; no resolver link, observed 2026-08-14T10:55:47.701275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 89b2e9ab-348d-412f-8e36-079fcd55380d · inbound