Paper Citation Record · LEDGER

SaD: A Scenario-Aware Discriminator for Speech Enhancement

As of 7 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2509.00405.

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

pith.paper-citation-record.v1
2509.00405 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:42:41.198870Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:42:39.003557Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:42:42.004656Z

Reference resolution

28 of 28 outbound references displayed

verified exact4
verified fuzzy14
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 268cf737-dd0b-4042-b50c-7a7700ba8d4e · outbound

This paper cites SaD: A Scenario-Aware Discriminator for Speech Enhancement.

SaD: A Scenario-Aware Discriminator for Speech Enhancement SaD: A Scenario-Aware Discriminator for Speech Enhancement

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:42:42.110640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d8fd6fef-ca10-43a1-aa44-9b7549c306d7 · outbound

This paper cites System Overview Our proposed method reconfigures the discriminator for SE GAN-like models (e.g., MetricGAN, CMGAN).

SaD: A Scenario-Aware Discriminator for Speech Enhancement System Overview Our proposed method reconfigures the discriminator for SE GAN-like models (e.g., MetricGAN, CMGAN)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:42:45.115273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e03c9518-e304-43a8-be04-cd91a1c673c3 · outbound

This paper cites Datasets To validate the effectiveness of our proposed methods, we con- ducted experiments using the DNS2020 challenge dataset [20] and the V oiceBank+DEMAND dataset [21].

SaD: A Scenario-Aware Discriminator for Speech Enhancement Datasets To validate the effectiveness of our proposed methods, we con- ducted experiments using the DNS2020 challenge dataset [20] and the V oiceBank+DEMAND dataset [21]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:42:44.897627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 00cf0344-05d2-4420-8a68-3e9c2bfb2e69 · outbound

This paper cites Similarly, omitting the pre-fine-tuning of DNSMOS for dynamic inputs led to a no- table decline in most metrics, with the exception of CBAK.

SaD: A Scenario-Aware Discriminator for Speech Enhancement Similarly, omitting the pre-fine-tuning of DNSMOS for dynamic inputs led to a no- table decline in most metrics, with the exception of CBAK

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:42:44.726491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ad71e7a6-6699-43b5-b3c7-6423f28c10c9 · outbound

This paper cites an unresolved cited work.

SaD: A Scenario-Aware Discriminator for Speech Enhancement Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:42:44.557570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1b2f78a9-f372-40a2-82a1-f7d13013797a · outbound

This paper cites DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement.

SaD: A Scenario-Aware Discriminator for Speech Enhancement DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T13:42:39.377349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f90baf6d-2801-4b76-9be8-6b1294bb690f · outbound

This paper cites A convolutional recurrent neural network for real-time speech enhancement.

SaD: A Scenario-Aware Discriminator for Speech Enhancement A convolutional recurrent neural network for real-time speech enhancement

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:42:44.410856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 03b764bc-4d50-4d4c-8e62-3c133aad4083 · outbound

This paper cites Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed.

SaD: A Scenario-Aware Discriminator for Speech Enhancement Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T13:42:39.516108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e9c778c-6f06-4075-a749-87e80ff8feb9 · outbound

This paper cites Low-latency single channel speech enhancement using u-net convolutional neural networks,.

SaD: A Scenario-Aware Discriminator for Speech Enhancement Low-latency single channel speech enhancement using u-net convolutional neural networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:42:44.247898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4099f5f5-234f-4acd-ab29-7cd09b575bef · outbound

This paper cites Suppression of acoustic noise in speech using spectral subtraction,.

SaD: A Scenario-Aware Discriminator for Speech Enhancement Suppression of acoustic noise in speech using spectral subtraction,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T13:42:39.699275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9d86d88-efa7-4953-a948-90e104ff59c3 · outbound

This paper cites All-pole modeling of degraded speech,.

SaD: A Scenario-Aware Discriminator for Speech Enhancement All-pole modeling of degraded speech,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:42:44.041400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 36d40ef4-d24e-41da-b1f4-30c7e0504b96 · outbound

This paper cites SEGAN: Speech Enhancement Generative Adversarial Network.

SaD: A Scenario-Aware Discriminator for Speech Enhancement SEGAN: Speech Enhancement Generative Adversarial Network

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T13:42:39.869720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2dcfb42-2bc5-462a-9b05-507f95c59a72 · outbound

This paper cites Metricgan: Gen- erative adversarial networks based black-box metric scores opti- mization for speech enhancement,.

SaD: A Scenario-Aware Discriminator for Speech Enhancement Metricgan: Gen- erative adversarial networks based black-box metric scores opti- mization for speech enhancement,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:42:43.792366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a7853068-06cd-498e-8b5b-4f8296db5bf5 · outbound

This paper cites HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks.

SaD: A Scenario-Aware Discriminator for Speech Enhancement HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T13:42:40.058948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecbe97f2-3f6c-4217-a8f0-4c69b7934699 · outbound

This paper cites CMGAN: Conformer-based Metric GAN for Speech Enhancement.

SaD: A Scenario-Aware Discriminator for Speech Enhancement CMGAN: Conformer-based Metric GAN for Speech Enhancement

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T13:42:40.141507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e1370e7-2cf8-4e7a-a246-e72bdbafa9fe · outbound

This paper cites Multi- cmgan+/+: Leveraging multi-objective speech quality metric pre- diction for speech enhancement,.

SaD: A Scenario-Aware Discriminator for Speech Enhancement Multi- cmgan+/+: Leveraging multi-objective speech quality metric pre- diction for speech enhancement,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:42:43.622406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e56ad2c9-4876-441b-b9ec-5cbbd4c908d1 · outbound

This paper cites SCP-GAN: Self-Correcting Discriminator Optimization for Training Consistency Preserving Metric GAN on Speech Enhancement Tasks.

SaD: A Scenario-Aware Discriminator for Speech Enhancement SCP-GAN: Self-Correcting Discriminator Optimization for Training Consistency Preserving Metric GAN on Speech Enhancement Tasks

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:42:41.797946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 08d7b4ad-68fc-42df-85d1-d2a86f5446b3 · outbound

This paper cites Finally: fast and universal speech enhancement with studio-like quality,.

SaD: A Scenario-Aware Discriminator for Speech Enhancement Finally: fast and universal speech enhancement with studio-like quality,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:42:43.424439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b099b2bb-b530-45be-89f7-3e015ff5027d · outbound

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

SaD: A Scenario-Aware Discriminator for Speech Enhancement Perceptual evaluation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:42:43.210932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2621dd20-3d2a-41eb-9ba9-24b24d3fd64f · outbound

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

SaD: A Scenario-Aware Discriminator for Speech Enhancement An al- gorithm for intelligibility prediction of time–frequency weighted noisy speech,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:42:42.914343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 96fcfe3e-eba1-48fb-9249-a93894859883 · outbound

This paper cites MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement.

SaD: A Scenario-Aware Discriminator for Speech Enhancement MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T13:42:40.625249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b97399b-5532-408b-b018-06b6c56c31b7 · outbound

This paper cites Sub-Band Knowledge Distillation Framework for Speech Enhancement.

SaD: A Scenario-Aware Discriminator for Speech Enhancement Sub-Band Knowledge Distillation Framework for Speech Enhancement

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:42:41.633494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cd887c74-cc1b-49fc-a444-f31d47fc49cc · outbound

This paper cites Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement.

SaD: A Scenario-Aware Discriminator for Speech Enhancement Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:42:41.448488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 552b3767-3175-4d92-b874-3ea5856d9a1c · outbound

This paper cites Dnsmos: A non-intrusive perceptual objective speech quality metric to evaluate noise sup- pressors,.

SaD: A Scenario-Aware Discriminator for Speech Enhancement Dnsmos: A non-intrusive perceptual objective speech quality metric to evaluate noise sup- pressors,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:42:42.624877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fbf534c8-d536-450d-9be7-de1b08bc90ca · outbound

This paper cites The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results.

SaD: A Scenario-Aware Discriminator for Speech Enhancement The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T13:42:40.983396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bf0405f-f47e-4017-8204-6ff7a08f02ab · outbound

This paper cites Investigating rnn-based speech enhancement methods for noise- robust text-to-speech.

SaD: A Scenario-Aware Discriminator for Speech Enhancement Investigating rnn-based speech enhancement methods for noise- robust text-to-speech

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:42:42.491424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation afabc5e6-5fff-4495-9a52-8e255685cfe6 · outbound

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

SaD: A Scenario-Aware Discriminator for Speech Enhancement The diverse environments multi-channel acoustic noise database (demand): A database of multichannel environmental noise recordings,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:42:42.274410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 23194ec7-4ead-4d59-aeac-588e819109a1 · outbound

This paper cites Evaluation of objective quality measures for speech enhancement,.

SaD: A Scenario-Aware Discriminator for Speech Enhancement Evaluation of objective quality measures for speech enhancement,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T13:42:41.198870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 268cf737-dd0b-4042-b50c-7a7700ba8d4e · inbound