Paper Citation Record · LEDGER

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning

As of 19 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2505.09304.

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

pith.paper-citation-record.v1
2505.09304 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:39:52.823127Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

verified exact1
verified fuzzy23
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aeca1664-dfb6-45ab-8df2-7702356a0ad4 · outbound

This paper cites Deep spoken keyword spotting: An overview,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning Deep spoken keyword spotting: An overview,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:53.124405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6784cacc-0282-4840-95b1-44415c1a7dbf · outbound

This paper cites V oice activated iot devices for healthcare: Design challenges and emerging applications,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning V oice activated iot devices for healthcare: Design challenges and emerging applications,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:53.115922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3e3404b7-1685-45b4-82cb-f4916c032caf · outbound

This paper cites Exploring tinyml frameworks for small-footprint keyword spotting: A concise overview,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning Exploring tinyml frameworks for small-footprint keyword spotting: A concise overview,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:53.105468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ccf5c238-a4e1-4650-a1b1-f3d4d611319a · outbound

This paper cites Sub-mw keyword spotting on an mcu: Analog binary feature extraction and binary neural networks,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning Sub-mw keyword spotting on an mcu: Analog binary feature extraction and binary neural networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:53.096400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 219e8b19-b437-4a23-911a-8024aaf4d985 · outbound

This paper cites Ultra-Low Power Keyword Spotting at the Edge.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning Ultra-Low Power Keyword Spotting at the Edge

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:52.738024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f046577-d57f-420a-82dd-3628925ea4ea · outbound

This paper cites Automatic gain control and multi-style training for robust small- footprint keyword spotting with deep neural networks,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning Automatic gain control and multi-style training for robust small- footprint keyword spotting with deep neural networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:53.087370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7552c722-e5e4-463c-a210-d22bc2ddc8f8 · outbound

This paper cites Query-by-example keyword spotting using long short-term memory networks,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning Query-by-example keyword spotting using long short-term memory networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:53.077958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2632dd76-86aa-42ba-b428-0979bd8bbf86 · outbound

This paper cites Sector-based interference cancellation for robust keyword spotting applications using an informed mpdr beamformer,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning Sector-based interference cancellation for robust keyword spotting applications using an informed mpdr beamformer,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:53.067880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0605c6c7-f0c9-497b-b0fd-8333d0cf1429 · outbound

This paper cites A 510-nw wake-up keyword-spotting chip using serial-fft-based mfcc and binarized depthwise separable cnn in 28-nm cmos,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning A 510-nw wake-up keyword-spotting chip using serial-fft-based mfcc and binarized depthwise separable cnn in 28-nm cmos,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:53.059004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e349a4cc-1589-4f24-95bf-afdafe0daa92 · outbound

This paper cites Evaluating robustness to noise and compression of deep neural networks for keyword spotting,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning Evaluating robustness to noise and compression of deep neural networks for keyword spotting,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:53.050094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 91536888-10b9-4d33-ab01-062e5a04cb4d · outbound

This paper cites Online continual learning in keyword spotting for low-resource devices via pooling high-order temporal statistics,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning Online continual learning in keyword spotting for low-resource devices via pooling high-order temporal statistics,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:53.041026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ef1ab69f-f8e8-41a4-a65b-573f87125ffa · outbound

This paper cites Boosting keyword spotting through on-device learnable user speech characteristics.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning Boosting keyword spotting through on-device learnable user speech characteristics

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:52.765143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f073f58e-7987-47aa-8a4a-b83951f0ab3f · outbound

This paper cites On- device domain learning for keyword spotting on low-power extreme edge embedded systems,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning On- device domain learning for keyword spotting on low-power extreme edge embedded systems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:53.030748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b33d6ed-6110-4ac4-b8bf-e0fefb06a941 · outbound

This paper cites Towards on-device domain adaptation for noise-robust keyword spotting,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning Towards on-device domain adaptation for noise-robust keyword spotting,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:53.020746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 627f9eec-7dce-49b0-ae1f-1ea57f7adbb8 · outbound

This paper cites Hello Edge: Keyword Spotting on Microcontrollers.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning Hello Edge: Keyword Spotting on Microcontrollers

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:52.777206Z

Source-reported events for the cited work

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Observation e28d3374-d043-4b73-9187-ce449a9b7c16 · outbound

This paper cites A depthwise separable convo- lutional neural network for keyword spotting on an embedded system,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning A depthwise separable convo- lutional neural network for keyword spotting on an embedded system,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:53.010189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d73edfc9-5f15-400a-b142-0c0b62275464 · outbound

This paper cites An overview of noise- robust automatic speech recognition,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning An overview of noise- robust automatic speech recognition,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:52.999832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation af9f1223-115f-4caa-9ff3-f22d84f1b5e3 · outbound

This paper cites Hotword cleaner: Dual-microphone adaptive noise cancellation with deferred filter co- efficients for robust keyword spotting,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning Hotword cleaner: Dual-microphone adaptive noise cancellation with deferred filter co- efficients for robust keyword spotting,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:52.991210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ba85720c-d0ab-464a-883c-edf0a95999a3 · outbound

This paper cites Supervised noise reduction for multichannel keyword spotting,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning Supervised noise reduction for multichannel keyword spotting,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:52.981463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 95322dc8-09ed-4f67-9a86-5dc389e446b2 · outbound

This paper cites Multi-task network for noise- robust keyword spotting and speaker verification using ctc-based soft vad and global query attention,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning Multi-task network for noise- robust keyword spotting and speaker verification using ctc-based soft vad and global query attention,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:52.972437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2a04798b-801b-42cc-ac0f-694e7a23cbff · outbound

This paper cites Noisy student-teacher training for robust keyword spotting.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning Noisy student-teacher training for robust keyword spotting

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:39:52.870510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5a0a21eb-23eb-49d5-a215-72e0b9fc0f47 · outbound

This paper cites Domain aware training for far-field small-footprint keyword spotting,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning Domain aware training for far-field small-footprint keyword spotting,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:52.962535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 86fc20b5-5d4d-46d9-9198-ea7c27ea17c5 · outbound

This paper cites On- device domain learning for keyword spotting on low-power extreme edge embedded systems,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning On- device domain learning for keyword spotting on low-power extreme edge embedded systems,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:52.951200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 53bdd4f0-563a-4b87-8a7a-1127121b7a0f · outbound

This paper cites Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:52.809344Z

Source-reported events for the cited work

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Observation 774f8c91-fa43-4350-8468-4b77bcb6d9a4 · outbound

This paper cites Assessment for automatic speech recogni- tion: II. NOISEX-92: A database and an experiment to study the effect of additive noise on speech recognition systems,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning Assessment for automatic speech recogni- tion: II. NOISEX-92: A database and an experiment to study the effect of additive noise on speech recognition systems,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:52.940468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2d215461-28e0-4caa-80a7-83d60828cb2f · outbound

This paper cites The diverse environments multi- channel acoustic noise database (demand): A database of multichannel environmental noise recordings,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning The diverse environments multi- channel acoustic noise database (demand): A database of multichannel environmental noise recordings,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:52.929519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e79aece6-4928-4763-863d-ae7bb9237be6 · outbound

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

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning A dataset and taxonomy for urban sound research,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:52.918673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 99f72585-2245-4c47-a039-30e343fc1418 · outbound

This paper cites Individual comparisons by ranking methods,.

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning Individual comparisons by ranking methods,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:52.908227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.