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Paper Citation Record · LEDGER

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation

As of 15 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2608.03650.

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

pith.paper-citation-record.v1
2608.03650 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:17:33.577944Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

29 of 29 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved5
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4778d0c9-a010-4e5c-9241-9b7971019697 · outbound

This paper cites Multi-task sub- band network for deep residual echo suppression,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation Multi-task sub- band network for deep residual echo suppression,

Reference 1

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raw_fallback, observed 2026-08-05T15:17:34.047974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c8a1ff87-399d-414e-936b-580eddf7f7ec · outbound

This paper cites DeepVQE: Real time deep voice quality enhancement for joint acoustic echo cancellation, noise suppression and dereverberation,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation DeepVQE: Real time deep voice quality enhancement for joint acoustic echo cancellation, noise suppression and dereverberation,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ec4259c2-e4be-4e74-8824-19bfc64f672f · outbound

This paper cites A progressive neural network for acoustic echo cancellation,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation A progressive neural network for acoustic echo cancellation,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:17:33.457603Z digest=sha256:725ce0418d580b87986a787656765786a7bca52bf25bde38a70b9aef3807ae68

Observation bca7b49e-8f88-48aa-ab87-4e157374bb01 · outbound

This paper cites Interfer- ence aware training target for dnn based joint acoustic echo cancellation and noise suppression.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation Interfer- ence aware training target for dnn based joint acoustic echo cancellation and noise suppression

Reference 4

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raw_fallback, observed 2026-08-05T15:17:34.001323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:17:33.462331Z digest=sha256:4cc319ac979df46e2ef4bb952ff892f7150b15ba4bf543befe5739688953e7e6

Observation 319d0120-3b14-49e6-b1bf-1d7dd5048101 · outbound

This paper cites MSA-DPCRN: A multi-scale asymmetric dual-path convolution recurrent network with attentional feature fusion for acoustic echo cancellation,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation MSA-DPCRN: A multi-scale asymmetric dual-path convolution recurrent network with attentional feature fusion for acoustic echo cancellation,

Reference 5

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raw_fallback, observed 2026-08-05T15:17:33.985279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:17:33.467344Z digest=sha256:fe0f2a7062d53fc3a8b224ce0bebe0e874854a8fc7d3bd143a45089b81a9433f

Observation 1efd1e9d-5c80-4d27-9160-18576991cd56 · outbound

This paper cites Two-stage language model framework for acoustic echo cancellation,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation Two-stage language model framework for acoustic echo cancellation,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:17:33.472164Z digest=sha256:ace73de90168a6fc0ca9431be46eb1c53021950ea1bf4a0a099ae263fff84d1f

Observation b0d5d0e5-6413-4e29-907b-bec5446f096c · outbound

This paper cites Multi-task deep residual echo suppression with echo-aware loss,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation Multi-task deep residual echo suppression with echo-aware loss,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:17:33.477157Z digest=sha256:95f7fd86050916c4c1c47660b027289625bc3eae161acbf37ccc4c5215971207

Observation d3fc0b13-9cc4-4473-8c1b-807de3de34a4 · outbound

This paper cites Deep adaptive aec: Hybrid of deep learning and adaptive acoustic echo cancellation,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation Deep adaptive aec: Hybrid of deep learning and adaptive acoustic echo cancellation,

Reference 8

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raw_fallback, observed 2026-08-05T15:17:33.938321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:17:33.481689Z digest=sha256:71f530df71a5c8758d80ac71846f2e139a2f6d2f3f1069cecb223da61c7d88ea

Observation a2a15003-0f05-4388-9778-5db75eaa120e · outbound

This paper cites Low-complexity acoustic echo cancellation with neural kalman filtering,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation Low-complexity acoustic echo cancellation with neural kalman filtering,

Reference 9

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:17:33.486142Z digest=sha256:c3a14bd5bdd514f0cc4fa2bd0569fcf3e65864a6881aeb6c80c3013ae38a230b

Observation 401936da-7ded-4004-8442-7387fce274b4 · outbound

This paper cites A hybrid approach for low-complexity joint acoustic echo and noise reduction,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation A hybrid approach for low-complexity joint acoustic echo and noise reduction,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:17:33.490646Z digest=sha256:f4da348b189000c73e46fb6fd5c8d74d1b3cbaa602d4967c10ce4480b930973d

Observation 988a27c4-ecaf-4a14-b3bb-4d2cfaadb57c · outbound

This paper cites Attention-based dual stream interactive network for nonlinear residual echo suppression,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation Attention-based dual stream interactive network for nonlinear residual echo suppression,

Reference 11

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raw_fallback, observed 2026-08-05T15:17:33.892749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:17:33.495173Z digest=sha256:a384bbe6a7f2e7040d3639ed15f85eb3faa014c939068f0ed0490790514cfc30

Observation 6b2aa93f-a4a1-4065-848c-1e8033e7e70c · outbound

This paper cites EchoFree: Towards Ultra Lightweight and Efficient Neural Acoustic Echo Cancellation.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation EchoFree: Towards Ultra Lightweight and Efficient Neural Acoustic Echo Cancellation

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:17:33.499775Z digest=sha256:ab9cabe4e3b5c451ed787b912ad0be508915290c19bc4a5314a889ab4ff124a6

Observation 792cdc94-ca4d-4c73-be55-40e22355b6a3 · outbound

This paper cites Residual echo suppression using dual-stream interactive transformers with selective multi-scale en- coding,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation Residual echo suppression using dual-stream interactive transformers with selective multi-scale en- coding,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:17:33.504865Z digest=sha256:cdb1a9e9ed76ceb1f977e4041aa37dc908a60ae009db5557cd680bb34ca798dd

Observation 65f7a9a0-3d17-4b75-8518-5acdf0efe2ca · outbound

This paper cites Efficient high-performance bark-scale neural network for residual echo and noise suppression,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation Efficient high-performance bark-scale neural network for residual echo and noise suppression,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:17:33.509335Z digest=sha256:67773b22b0af0021339c406c4320ece6cd508ba84c23cab1c1a79f49e344b83d

Observation f6715412-aa02-46d9-b4ac-118f83dd41a6 · outbound

This paper cites CAGCRN: Real-time speech enhancement with a lightweight model for joint acoustic echo cancellation and noise suppression,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation CAGCRN: Real-time speech enhancement with a lightweight model for joint acoustic echo cancellation and noise suppression,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:17:33.513593Z digest=sha256:a2ac872da5460322dc59f596b44e8b2a62a8b6bbe364ce44837fc85408921b5a

Observation b4e6c836-6d79-4202-848e-eb1d2310e14f · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:17:33.518051Z digest=sha256:eb9879fd33cfa94876c29892009f3b22c6d8a5b3ca2cbdc60ea64870ab7538f5

Observation b8c3437d-c212-4d11-8e0a-a5610614d969 · outbound

This paper cites Dual-path RNN: Efficient long sequence modeling for time-domain single-channel speech separation,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation Dual-path RNN: Efficient long sequence modeling for time-domain single-channel speech separation,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:17:33.522771Z digest=sha256:9ecc277d4649098b92605a081f3dccd35a95d8dfbef5dc6fe567a65711f57bb9

Observation 83da102d-5614-4f25-9e3d-eca022b29b95 · outbound

This paper cites DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:17:33.527004Z digest=sha256:0871409c1cf69164f32022e142c1dd0a3b646823b085c35a6bad80788f30e0cf

Observation a9c54267-eeee-45ff-b333-dbdf3f20b6a6 · outbound

This paper cites Frequency-domain and multirate adaptive filtering,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation Frequency-domain and multirate adaptive filtering,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 8cff18cf-9ac8-42d6-8f68-40ad5174b41f · outbound

This paper cites an unresolved cited work.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 48823287-a03a-44fd-a8c9-03a3fca9d233 · outbound

This paper cites Real Time Speech Enhancement in the Waveform Domain.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation Real Time Speech Enhancement in the Waveform Domain

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:17:33.540895Z digest=sha256:e3724c9c3be5b896ace5fed1b6709c7822975c93f0eae190c2d166ffdef40f0d

Observation 4b2aabda-a6d3-4ab5-a389-1792a1cef65a · outbound

This paper cites A deep learning loss function based on the perceptual evaluation of the speech quality,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation A deep learning loss function based on the perceptual evaluation of the speech quality,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:17:33.545873Z digest=sha256:277b0ab5ed183316f02fde65257cdc0f0ee48235ccead1559fd98f3765adb390

Observation 6dd04491-d033-4343-bb6c-fcbf77f58cbc · outbound

This paper cites MP-SENet: A speech enhancement model with parallel denoising of magnitude and phase spectra,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation MP-SENet: A speech enhancement model with parallel denoising of magnitude and phase spectra,

Reference 23

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raw_fallback, observed 2026-08-05T15:17:33.772541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:17:33.550363Z digest=sha256:c5d673e543f169a802b9a21293451d44e81efd1e54d457be4a63f92c348c8a00

Observation 11c7875c-3de1-4ad5-a6c9-64f60d6917bb · outbound

This paper cites ICASSP 2022 acoustic echo cancellation challenge,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation ICASSP 2022 acoustic echo cancellation challenge,

Reference 24

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raw_fallback, observed 2026-08-05T15:17:33.756544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:17:33.554729Z digest=sha256:30488a5327bd8254ad9b7d16bc9e5e4bca35176dd69724b4d5cfd028028dc007

Observation 8ac3c7b5-1847-4126-9f8e-127d2fec9fa1 · outbound

This paper cites The INTER- SPEECH 2020 deep noise suppression challenge: Datasets, subjective testing framework, and challenge results,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation The INTER- SPEECH 2020 deep noise suppression challenge: Datasets, subjective testing framework, and challenge results,

Reference 25

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raw_fallback, observed 2026-08-05T15:17:33.739156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:17:33.559907Z digest=sha256:86747c7791f1c7214ed7331fe953c3466f34d478e6b5d89dea20743976a83278

Observation e434b298-76af-48cb-b4ee-1b5c988c93b4 · outbound

This paper cites Acoustic echo cancellation with the dual-signal transformation lstm network,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation Acoustic echo cancellation with the dual-signal transformation lstm network,

Reference 26

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raw_fallback, observed 2026-08-05T15:17:33.723360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:17:33.564174Z digest=sha256:9d36dc5d6464224e49a64ce03a4130c64081fa3e7ddd7e5eaad64c9cabae6781

Observation 37adf43c-3a27-4f6f-b1b1-8d4332606790 · outbound

This paper cites AECMOS: A speech quality assessment metric for echo impairment,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation AECMOS: A speech quality assessment metric for echo impairment,

Reference 27

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raw_fallback, observed 2026-08-05T15:17:33.707990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:17:33.568828Z digest=sha256:e05c0ac0f705d862739c9c0ec6a731afd1ecda26e5adecbe05267f09cf0b283b

Observation 89be6a4f-d6e3-4478-9e1d-beb6a4c5088e · outbound

This paper cites Per- ceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation Per- ceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs,

Reference 28

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raw_fallback, observed 2026-08-05T15:17:33.693068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:17:33.573364Z digest=sha256:418fd6d7918b36f14ae8601e5e395a48002e6c6a9c3b35038e6b71508655bfb8

Observation 65e49fa2-65cb-44bf-9ae5-930abd4dd342 · outbound

This paper cites An algorithm for intelligibility prediction of time–frequency weighted noisy speech,.

Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation An algorithm for intelligibility prediction of time–frequency weighted noisy speech,

Reference 29

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raw_fallback, observed 2026-08-05T15:17:33.677583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:17:33.577944Z digest=sha256:b7f3232426904c9831c3954358ea203b6cc3d5f21672ae68ecd2b66a42f45000

Pith citing papers

No inbound Pith citation observations are available.