Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T15:36:32.154928Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:1908.00766.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T15:36:32.154928Z
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 2026-08-14T15:36:32.075855Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-14T15:36:32.216916Z
26 of 26 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 80bc3c03-448e-4868-83c2-50acf81d7ee1 · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models This year, the task 3 from the IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events (DCASE 2019) [1] concerned the SELD prob- lem
Reference 1
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 30166c22-8e58-433c-8e83-ac8432c3e14f · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models Sound source detection, localization and classification using consecutive ensemble of CRNN models
Reference 2
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 e64bf2e7-e7b8-48a0-8013-eeae84122019 · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models Each of these models is a copy of a single SELDnet node with just minor adjustments so that it fits to the specific subtask and for the regular- ization purpose
Reference 3
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 771154cf-9458-40cb-986c-af0eb9e1a10a · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models This custom binding of our four models allows us to predict the events’ onset, offset, direction of arrival and class
Reference 4
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 53f7d5cf-e69f-49da-afa8-c822d7693414 · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models Unresolved cited work
Reference 5
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 99e44545-db3e-40f1-a82e-e7d94d8abdb6 · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models Unresolved cited work
Reference 6
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 834670ad-6960-4460-8366-805a87930350 · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models If NOAS in two consecutive frames increases, then we predict that a new event happened at the second frame
Reference 7
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 f6e27349-ad16-42d3-9b48-8a84fc409102 · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models We extract chunks (intervals of equal NOAS) of audio where the predicted NOAS equals 1 and we feed it to doa1 network
Reference 8
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 bbce0384-3d9e-41ed-a269-975cf07ef205 · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models We feed the chunks where NOAS is 2 to the doa2 network with the second input being DOA of the associated event in cartesian xyz coordinates
Reference 9
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 baf8013c-665c-48f1-8d65-f619a6d9f9d0 · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models Unresolved cited work
Reference 10
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 14b42d8c-2c73-482a-a607-4be88023744d · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models This dataset constitutes of two parts: the devel- opment and evaluation sets
Reference 11
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 e1329915-dfba-41f3-9064-ec6a2a3535d4 · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models Table 5: The comparison of the selected submissions
Reference 12
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 3c44f37e-ec92-4358-b857-519dc825b70c · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models However, we are aware that our solution has some serious limitations and it fails when one wants to consider a more general setup
Reference 13
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 5b8701c6-4508-482d-acbe-0acf3b98ce58 · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models Detection and Classification of Acoustic Scenes and Events 2019 25–26 October 2019, New York, NY , USA
Reference 14
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 c1df2cbd-1fab-4a2b-b767-689120036c7a · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models Unresolved cited work
Reference 15
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 27a66b8b-74b1-4614-966e-68a857b77579 · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models Sound event localization and detection of overlapping sources using convolutional recurrent neural networks,
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a013534d-153e-4ff9-a1d8-175c3a48e0c5 · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models A multi- room reverberant dataset for sound event localization and uetection,
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71d45955-45ab-4ab2-8424-64412b474a28 · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models Adam: A Method for Stochastic Optimization
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ddc37afa-9057-45bd-bb44-9f803fb6871e · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a2b684a-4cd8-49d8-8244-0612ecd90030 · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models Two-stage sound event local- ization and detection using intensity vector and generalized cross-correlation,
Reference 21
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 30833da8-bd1d-49e4-90a3-02c86040f904 · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models Data augmenta- tion and prior knowledge-based regularization for sound event localization and detection,
Reference 22
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 44f62979-f78b-4d60-96e4-12c48e0f02b0 · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models Three-stage approach for sound event lo- calization and detection,
Reference 23
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 85e97cd4-ff72-486e-ad84-395b2b2eef16 · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models Squeeze-and-excitation net- works,
Reference 24
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 387b0860-9f79-485f-a0d5-9a4edee6a7a1 · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models Specaugment: A simple data augmentation method for automatic speech recognition,
Reference 25
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 a04ce41b-27bd-47cb-a813-ef28d8c5a7e3 · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fa1351f-faaf-4ab2-9545-3681c937f3d8 · outbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models A multi-room reverberant dataset for sound event localization and detection
Reference 2019
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30166c22-8e58-433c-8e83-ac8432c3e14f · inbound
Sound source detection, localization and classification using consecutive ensemble of CRNN models Sound source detection, localization and classification using consecutive ensemble of CRNN models
Reference 2
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.