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Paper Citation Record · LEDGER

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning

As of 17 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 2 inbound Pith citation observations for arXiv:2509.14855.

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

pith.paper-citation-record.v1
2509.14855 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:17:38.399960Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:17:34.992794Z

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 exact0
  • verified fuzzy0
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 16696ece-f220-43aa-b39b-c80fcd730089 · outbound

This paper cites While single-channel deep neural networks (DNNs) have achieved impressive results [1], multichannel meth- ods can exploit spatial cues for further gains.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning While single-channel deep neural networks (DNNs) have achieved impressive results [1], multichannel meth- ods can exploit spatial cues for further gains

Reference 1

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source=pdf_text observed=2026-08-04T16:17:34.856560Z digest=sha256:cd36f387fbb2052f75498f134717e6dd138c6a01060fff383e852eda80a1c794

Observation 59167716-c3a1-4735-ba40-0f29a1811dfc · outbound

This paper cites AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning

Reference 2

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source=pdf_text observed=2026-08-04T16:17:34.992794Z digest=sha256:a114b99a9f95f027613140af0116f369250dbbb066f6bcde23b6480f9999fe4d

Observation 91b2f6d3-9206-4ec3-8eff-f62a4a734dfb · outbound

This paper cites an unresolved cited work.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-04T16:17:35.089982Z digest=sha256:05a009d24151da16e679762d31b0d4700e70ce386d436bc91c079d7b0d1cf8c9

Observation 95fa2c67-5dc5-4031-b4d9-9beac17c0442 · outbound

This paper cites For comparison, we use the FT-JNF network with microphone signals input as an array-dependent baseline.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning For comparison, we use the FT-JNF network with microphone signals input as an array-dependent baseline

Reference 4

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source=pdf_text observed=2026-08-04T16:17:35.183849Z digest=sha256:9fa09a1493e0269cb0aeaca8fe892678a5c237bd275883134d6d1678a6185d9b

Observation a4550026-0c20-4982-b22e-4326c2c43ac9 · outbound

This paper cites an unresolved cited work.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-04T16:17:35.388331Z digest=sha256:7923318dffa7ed31a4d1b8fefbf3e67f25f94fb49f1c9d35c5286e04a28f87f0

Observation 594c7335-c26b-4d7d-96d8-c4ce91ebb48f · outbound

This paper cites End-to-end microphone permutation and number invariant multi-channel speech separation,.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning End-to-end microphone permutation and number invariant multi-channel speech separation,

Reference 6

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source=pdf_text observed=2026-08-04T16:17:36.458813Z digest=sha256:530fba4d0a227d64941268db41adc591bbd7bbc5ec2a50a0a261a1ad85aa6aef

Observation 22a7925e-186d-4a23-86b8-5b614559c074 · outbound

This paper cites Speech enhancement—a review of mod- ern methods,.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning Speech enhancement—a review of mod- ern methods,

Reference 7

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source=pdf_text observed=2026-08-04T16:17:35.541719Z digest=sha256:9c9a2087f6603c260fed2535acd7fc10ade30bb455da96dfe34dfc4594d9487c

Observation 26294d42-8c1f-486e-bf9a-f6b796a40e78 · outbound

This paper cites an unresolved cited work.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-04T16:17:35.708867Z digest=sha256:0dc045a26b91c3a7a586800f3bd306bcba80225884aa8cb0b7141965ccd4d935

Observation 19461f1f-3c82-405e-b876-2af87f992bcb · outbound

This paper cites Superdirective microphone ar- rays,.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning Superdirective microphone ar- rays,

Reference 9

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source=pdf_text observed=2026-08-04T16:17:35.837115Z digest=sha256:ac2e7e3484641c092cb8ddabc9e073d176eed95a49fb9dc3d1a7a4c0c5deee92

Observation f5112fc7-7340-41b4-9f28-1922f75adc28 · outbound

This paper cites One model to enhance them all: Array ge- ometry agnostic multi-channel personalized speech enhance- ment,.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning One model to enhance them all: Array ge- ometry agnostic multi-channel personalized speech enhance- ment,

Reference 10

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source=pdf_text observed=2026-08-04T16:17:36.944907Z digest=sha256:52146e2652d282e190ca15bac6fb6b676a7c57d6a56fafa5e34a92b341f8078b

Observation dc1a2b98-6129-41b2-b369-8b1c3977a053 · outbound

This paper cites Microphone array signal processing and deep learning for speech enhancement: Combining model-based and data-driven approaches to parameter estimation and filter- ing,.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning Microphone array signal processing and deep learning for speech enhancement: Combining model-based and data-driven approaches to parameter estimation and filter- ing,

Reference 11

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source=pdf_text observed=2026-08-04T16:17:36.164881Z digest=sha256:dc9f4eb769108f8ff5a4377d0cabb9359780d06b2634e52a1b6cead470da4acb

Observation b1a198c6-6a46-4167-ad2d-ab7a5494f33e · outbound

This paper cites Advances in microphone array processing and multichannel speech en- hancement,.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning Advances in microphone array processing and multichannel speech en- hancement,

Reference 12

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source=pdf_text observed=2026-08-04T16:17:36.292953Z digest=sha256:bc16546f3b5826efb8c31a129abc397855e7e1748f53b6ab999a971e4e78bb08

Observation 708bdab1-5a5c-4bfa-995c-98b03e37f692 · outbound

This paper cites Hierarchical Modeling of Spatial Cues via Spherical Harmonics for Multi-Channel Speech Enhancement.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning Hierarchical Modeling of Spatial Cues via Spherical Harmonics for Multi-Channel Speech Enhancement

Reference 13

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source=pdf_text observed=2026-08-04T16:17:37.391163Z digest=sha256:8971bc62c319a8e8e0237d7e0b8df09434bfc8dfe134d9acfdfefb8b61735cea

Observation b7695e8c-1609-446a-b78d-28309b393f10 · outbound

This paper cites Flexible multichan- nel speech enhancement for noise-robust frontend,.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning Flexible multichan- nel speech enhancement for noise-robust frontend,

Reference 14

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source=pdf_text observed=2026-08-04T16:17:36.604580Z digest=sha256:1229e437c644bb3cf7a00a78d65c6bd3dfbd29baffb97094dfe18989a3a148c4

Observation e5a6eb20-2f9d-45bd-8c19-e05272bdde30 · outbound

This paper cites Vararray: Array-geometry-agnostic contin- uous speech separation,.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning Vararray: Array-geometry-agnostic contin- uous speech separation,

Reference 15

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source=pdf_text observed=2026-08-04T16:17:36.688990Z digest=sha256:3a54b3c9b0505a6a3c68bb6464334f2d6c644e0b1554d64376b3735e6930cb3a

Observation 19d2498e-9b68-474f-8c4b-d9914e391da7 · outbound

This paper cites an unresolved cited work.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning Unresolved cited work

Reference 16

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source=pdf_text observed=2026-08-04T16:17:34.924784Z digest=sha256:911246f2b9afd13ac903864e9ac230ad00b39e1920a630a0e8c5a96c94af927b

Observation b9dfb18e-0f71-4700-b808-a2bc51db1e6c · outbound

This paper cites Meta-learning for variable array configurations in end-to-end few-shot multichannel speech enhancement,.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning Meta-learning for variable array configurations in end-to-end few-shot multichannel speech enhancement,

Reference 17

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source=pdf_text observed=2026-08-04T16:17:36.785813Z digest=sha256:5f72f751213e5ed663f82e78b90a62efc8d534e251202bcbd450b56240da72e9

Observation fa434cb7-95aa-490a-8ba3-8c08192293f9 · outbound

This paper cites Zotter and M.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning Zotter and M

Reference 18

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source=pdf_text observed=2026-08-04T16:17:37.053869Z digest=sha256:3dba932f5fa9ff34ede76448b9dc6615eb0b54ad6a3971f00ce55834ae7d3f74

Observation 14970eb9-6d8f-41e4-92bf-bd9197793028 · outbound

This paper cites Rafaely,Fundamentals of spherical array processing, Springer Topics in Signal Processing.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning Rafaely,Fundamentals of spherical array processing, Springer Topics in Signal Processing

Reference 19

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source=pdf_text observed=2026-08-04T16:17:37.203372Z digest=sha256:5f31987f15b0d99d979d19d96a1a87f6db79c8b1c985917a71fac1a467433310

Observation 94b0195e-8d9e-45be-832b-2b32216a8f54 · outbound

This paper cites EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environments.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environments

Reference 20

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source=pdf_text observed=2026-08-04T16:17:38.284440Z digest=sha256:3e1f1f67d471e9e172ea24b416ec644adc903f7da06cd3ebe3c8219ef6b64588

Observation a79c5086-f7e3-46b5-9f1a-fabe6c6fd4c8 · outbound

This paper cites Innovative direc- tional encoding in speech processing: Leveraging spherical harmonics injection for multi-channel speech enhancement,.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning Innovative direc- tional encoding in speech processing: Leveraging spherical harmonics injection for multi-channel speech enhancement,

Reference 21

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source=pdf_text observed=2026-08-04T16:17:37.543515Z digest=sha256:a89ef7f9c638b9552f5755ec8162e013ecfbdf5daf5fa7b67f6f40f885cc31bb

Observation cdd9ae4b-7b15-4631-bd48-11827befb5d9 · outbound

This paper cites Enhancing multi-channel speech with limited microphones via spherical harmonic trans- form,.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning Enhancing multi-channel speech with limited microphones via spherical harmonic trans- form,

Reference 22

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source=pdf_text observed=2026-08-04T16:17:37.663850Z digest=sha256:0c4cd0531ee6b993f417c3e267dfdab260d3c2810cfe980c11c0560951f8a32c

Observation 3d9dd53d-54ae-4fde-9746-4df70c5c8939 · outbound

This paper cites Ambisonics encoding for arbitrary microphone arrays incor- porating residual channels for binaural reproduction,.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning Ambisonics encoding for arbitrary microphone arrays incor- porating residual channels for binaural reproduction,

Reference 23

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source=pdf_text observed=2026-08-04T16:17:37.781616Z digest=sha256:f0aaea64cc1661c55e214710c4efa30435d3769612524ec7d1cb04baea99e96f

Observation 090d4ab7-3e47-4f71-b205-69107bb92456 · outbound

This paper cites Insights into deep nonlinear filters for improved multi-channel speech enhancement,.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning Insights into deep nonlinear filters for improved multi-channel speech enhancement,

Reference 24

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source=pdf_text observed=2026-08-04T16:17:37.874474Z digest=sha256:4528e94ae68df6fa6d3be16ec1c84cbe95bb292429f89b65575750627b42b848

Observation ef8db8e7-005f-4e3c-9f57-14b5784dfdb1 · outbound

This paper cites Sdr—half-baked or well done?,.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning Sdr—half-baked or well done?,

Reference 25

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source=pdf_text observed=2026-08-04T16:17:38.043540Z digest=sha256:0255a878cbf42abdc6e4755918e1d15fb3be766f479abf2f42ea6b84f01a1db2

Observation 9463f5a2-4d01-451f-a636-7bc3581e8378 · outbound

This paper cites Image method for efficiently simulating small-room acoustics,.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning Image method for efficiently simulating small-room acoustics,

Reference 26

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source=pdf_text observed=2026-08-04T16:17:38.163357Z digest=sha256:776bd4ce75e8810cd33d4aa93c9b544602399f38c0bb4ec7d0484cb0f78159b6

Observation 62a890af-cc34-43d7-99ed-b8f611ecd10a · outbound

This paper cites CSR-I (WSJ0) Complete,.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning CSR-I (WSJ0) Complete,

Reference 28

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source=pdf_text observed=2026-08-04T16:17:38.399960Z digest=sha256:9af0e5bcacda1a018e170338a03b8255764c092c2067ca6ac66e07a6fd06e895

Observation deb82f23-0ca8-434e-b28f-8f2d7ecf4541 · outbound

This paper cites an unresolved cited work.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning Unresolved cited work

Reference 38

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source=pdf_text observed=2026-08-04T16:17:35.974946Z digest=sha256:6c4acbd9e16aa339af699edce002cdbc5db86bfae08dffa876f4dc10d989a915

Pith citing papers

Observation 59167716-c3a1-4735-ba40-0f29a1811dfc · inbound

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning cites this paper.

AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning

Reference 2

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source=pdf_text observed=2026-08-04T16:17:34.992794Z digest=sha256:a114b99a9f95f027613140af0116f369250dbbb066f6bcde23b6480f9999fe4d

Observation be6a1abf-efc3-44d1-8af0-8d8d993f8aba · inbound

Towards Array-Invariant Speech Enhancement via Geometry-Aware Dynamic Convolution cites this paper.

Towards Array-Invariant Speech Enhancement via Geometry-Aware Dynamic Convolution AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning

Reference 14

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source=pdf_text observed=2026-08-01T14:47:15.259938Z digest=sha256:65ca5e410566c32eefe02227b849dcb2391b699e67a1457ce2090ae563edca06