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Paper Citation Record · LEDGER

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling

As of 22 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2412.14890.

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

pith.paper-citation-record.v1
2412.14890 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:52:02.208288Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:34:10.985344Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:34:11.100456Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact1
  • verified fuzzy25
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a14177bd-ad2c-43f7-8790-2d0db3d4b51a · outbound

This paper cites an unresolved cited work.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T11:52:02.036895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:52:02.036895Z digest=sha256:b4135121bfe197dd1f7b1c4eb8b3a52dfd285ddbfc697be821abd0e0c3c0c4d5

Observation 7b1f8548-ef68-4b19-8232-9bbfc7f2a327 · outbound

This paper cites Toward universal speech enhancement for diverse input conditions,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling Toward universal speech enhancement for diverse input conditions,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.746609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.042873Z digest=sha256:67adf6899dc3cd239f9397e8ec3db2a8b57cf59b4bfdfc86228de8debb32dc0a

Observation ed2376b4-e4d6-4a0e-b953-ef408c0214f2 · outbound

This paper cites Improving design of input condition invariant speech enhancement,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling Improving design of input condition invariant speech enhancement,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.733618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.047165Z digest=sha256:600d52d7fd7b49a90301db5e0701538aafb9533cf33750755f34d0e05b15428e

Observation 4b3ee41a-668b-4442-a8dc-de4323a1122f · outbound

This paper cites Beyond performance plateaus: A comprehensive study on scalability in speech enhancement,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling Beyond performance plateaus: A comprehensive study on scalability in speech enhancement,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.721060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.051608Z digest=sha256:ac5b6675b64dda703df259b4309a8abb597800f05dedf2ed78c4eebf9075b0ee

Observation 2e06e545-298b-4931-a730-c4601a8170bb · outbound

This paper cites Complexity scaling for speech denoising,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling Complexity scaling for speech denoising,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.708281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.056368Z digest=sha256:35b0fa4166ecd0dcc58ed7d4afc485d19f225bda5b5da739f079a2a4bda05159

Observation d65c85fc-b86f-4fd5-bca2-5ade30b1cb1d · outbound

This paper cites The effect of training dataset size on discriminative and diffusion-based speech enhancement systems,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling The effect of training dataset size on discriminative and diffusion-based speech enhancement systems,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.692772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.060842Z digest=sha256:caefb9542183f2ddb0d1cdefd2dcc969b3eae16e1351e189dd076c0f066ccbe5

Observation f2fbab19-098d-4293-97b9-b3fecfe6a4cb · outbound

This paper cites NaturalSpeech 3: Zero-shot speech synthesis with factorized codec and diffusion models,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling NaturalSpeech 3: Zero-shot speech synthesis with factorized codec and diffusion models,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.678109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.065964Z digest=sha256:9f7fee1008a3525b6d0e4e6b1bad8e8c885ee1a53334839ad4d2cd4fecd03bc8

Observation f351a62f-b996-4c87-acfb-5b03d6052eae · outbound

This paper cites Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T11:52:02.070649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:52:02.070649Z digest=sha256:30559ba2ad0627a3fcefcfb38e745e2036757eb1d191c45f11a6d79d2e962d37

Observation d809cfac-26e4-4f6f-938a-f4c1bdbf24e0 · outbound

This paper cites V oicebox: Text- guided multilingual universal speech generation at scale,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling V oicebox: Text- guided multilingual universal speech generation at scale,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.664160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.076292Z digest=sha256:b5720397fc3df9bc855fb23c58b25f60ac69a811ee1b6c816065de971ca72e39

Observation 682a8efb-6615-4a46-ba79-aa12c7499acb · outbound

This paper cites XTTS: A massively multilingual zero-shot text-to-speech model,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling XTTS: A massively multilingual zero-shot text-to-speech model,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.649729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.081093Z digest=sha256:ce7634656ee544b95e7bbafeb45dd5d95885a5a6c04f0eb0061edc3089bb5771

Observation 0b92ec8f-25d7-4e4b-8804-c34fff244045 · outbound

This paper cites Seed-TTS: A Family of High-Quality Versatile Speech Generation Models.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling Seed-TTS: A Family of High-Quality Versatile Speech Generation Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T11:52:02.085944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:52:02.085944Z digest=sha256:3c0b03daa5cb02d62d27205f82b6c09a9fc743d8f36f8187db34c5c77e2920d5

Observation ce706718-366e-4f8b-8383-7fc2af091fc3 · outbound

This paper cites BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T11:52:02.091428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:52:02.091428Z digest=sha256:53b9d04646a2bee9f4ea71a8515082c2b5412cfba816fac0a489ae3a16478542

Observation 6413e5e8-be8d-48ea-8d88-d50c9a897df7 · outbound

This paper cites SynthASR: Unlocking synthetic data for speech recogni- tion,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling SynthASR: Unlocking synthetic data for speech recogni- tion,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.635044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.097171Z digest=sha256:f96435b8abd7005fa4917767d7fcea2a4a67b9af630849394501ca6019e00920

Observation 47f60589-8515-4150-8ab2-42914128b0e9 · outbound

This paper cites Deep generative models for synthetic data: A survey,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling Deep generative models for synthetic data: A survey,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.619232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.101652Z digest=sha256:c569afe70c00fe7fba289ba3258d44dfce3d0038b817e91ca54fd241cad3d829

Observation 2eea7ee8-48b8-4bb9-8e91-9ee63f773130 · outbound

This paper cites On the Effect of Purely Synthetic Training Data for Different Automatic Speech Recognition Architectures.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling On the Effect of Purely Synthetic Training Data for Different Automatic Speech Recognition Architectures

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T11:52:02.106214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:52:02.106214Z digest=sha256:5008be13dfb68005d6fafea9aebc2b3a95f4f4a6db2c707976657d6b7ecd4afd

Observation 3880b1b4-f7d4-423c-8a4d-0969979c2298 · outbound

This paper cites SynAug: Synthesis- based data augmentation for text-dependent speaker verification,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling SynAug: Synthesis- based data augmentation for text-dependent speaker verification,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.602191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.111072Z digest=sha256:a1841754004ec8354d6d5f7e9bd11c3b448a4e69c37f237b89eaa89a023d76bd

Observation 2b82fcff-b987-46e0-aa40-ddf218ee7415 · outbound

This paper cites Speech enhancement using deep learning methods: A review,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling Speech enhancement using deep learning methods: A review,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.585561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.115633Z digest=sha256:ca8a44d131fd32892ffe7dd66343dad67030f60369d1c40e0cf1a701604ab81e

Observation 20e6c184-67ba-47b2-8cd3-8329ad5903a9 · outbound

This paper cites Conv-TasNet: Surpassing ideal time– frequency magnitude masking for speech separation,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling Conv-TasNet: Surpassing ideal time– frequency magnitude masking for speech separation,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T11:52:02.121155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:52:02.121155Z digest=sha256:006aafe6eda745012bc16d23ba179438158a1402ad93e46ff6f3e26727205f58

Observation 3038e4d7-c93d-4705-b526-5d88c6a2490f · outbound

This paper cites Music source separation with band-split RNN,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling Music source separation with band-split RNN,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.561999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.126229Z digest=sha256:f20b4d7a1152ad0b151a2ad478b7dbb76ae3b7b107731d01fe97bca21ea6c9e9

Observation c5a9e386-b460-42ab-931d-d1442b4d408c · outbound

This paper cites Speech enhancement and dereverberation with diffusion-based genera- tive models,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling Speech enhancement and dereverberation with diffusion-based genera- tive models,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T11:52:02.131773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:52:02.131773Z digest=sha256:a24dfbb08fc4486eb04c4dd015c6ec9cf58084f49423d8cbb0819623e83b7ba3

Observation c04641b3-c136-4aae-8408-a429a73269a8 · outbound

This paper cites DDTSE: Discriminative diffusion model for target speech extraction,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling DDTSE: Discriminative diffusion model for target speech extraction,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.541300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.137349Z digest=sha256:677300f1346515c0e07bdd32de1404624761a7469db79ddd6a233ab258f2a61b

Observation 92d5a7c0-84ce-439c-9c7a-d88396ab9c93 · outbound

This paper cites Conditional diffusion probabilistic model for speech enhancement,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling Conditional diffusion probabilistic model for speech enhancement,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.527505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.143025Z digest=sha256:30dfea533bba1a100ba4c910fdf75d75921b6e416b3aaa6dd84b8fc41b9b2c1f

Observation 96fa7e95-dda6-4de2-b2ae-c430ed53d386 · outbound

This paper cites Diffusion-based Generative Modeling with Discriminative Guidance for Streamable Speech Enhancement.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling Diffusion-based Generative Modeling with Discriminative Guidance for Streamable Speech Enhancement

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-11T11:52:02.267824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.148300Z digest=sha256:cfc13e6ba9ea135feb20bc58e44abdad31e44cd1e4934ded53cf3669c8351e57

Observation 9b206c6c-41e4-4e62-9b8a-9e0cee88fcb7 · outbound

This paper cites LibriMix: An Open-Source Dataset for Generalizable Speech Separation.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling LibriMix: An Open-Source Dataset for Generalizable Speech Separation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T11:52:02.153325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:52:02.153325Z digest=sha256:e75359acc730a1309bd2b5dc87f39ce726c45174e2da82c7ab49f2efe5186f5a

Observation 572fc6ed-931b-4986-875a-2fa7c88f25bb · outbound

This paper cites Librispeech: an ASR corpus based on public domain audio books,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling Librispeech: an ASR corpus based on public domain audio books,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T11:52:02.158220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:52:02.158220Z digest=sha256:fb38c24ea8326dd58f3a5f591b93f2b166bcd1fadef960d92157feb58d963ed8

Observation e2b67349-0a6b-4171-a72f-8a91272ec476 · outbound

This paper cites WHAM!: Extending speech separation to noisy environments,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling WHAM!: Extending speech separation to noisy environments,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.501884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.163276Z digest=sha256:7385f6a6dcc96c81f78eb9e2ca782ad0e5ef736959b616233f390e3f2430cd54

Observation e77cfd80-1703-48b5-b645-438bddb33f96 · outbound

This paper cites TUT database for acoustic scene classification and sound event detection,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling TUT database for acoustic scene classification and sound event detection,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.486295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.167476Z digest=sha256:88db13ef42adc67eb0d985344e07328a8ffae771a3d700cccc9670bea2ec8a3f

Observation fa5ca55c-2209-4efd-9650-ca695629e633 · outbound

This paper cites Common voice: A massively-multilingual speech corpus,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling Common voice: A massively-multilingual speech corpus,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.469919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.171864Z digest=sha256:fd6006f39069c15922d7f5803eadd6d4e9c063ca7165d06ad793d180c4239277

Observation 7bec1413-8bb8-4021-805c-b54d83c1d687 · outbound

This paper cites ESPnet- SE: End-to-end speech enhancement and separation toolkit designed for ASR integration,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling ESPnet- SE: End-to-end speech enhancement and separation toolkit designed for ASR integration,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.456196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.176450Z digest=sha256:fae85f911b8d66774820ea1be89d1d275efac24544dcf2c193dc7412cef6a436

Observation a1fbb37d-d8dc-4b9f-ae44-7846399c4830 · outbound

This paper cites Freesound datasets: A platform for the creation of open audio datasets,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling Freesound datasets: A platform for the creation of open audio datasets,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.442371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.181295Z digest=sha256:30e58152bb6545870cbba16ca9242d886dec296b6c28d38dd2fc605e88ccc7a9

Observation 0ecf8c74-8e07-4aba-afbc-25b1f04e40ba · outbound

This paper cites Audio set: An ontology and human- labeled dataset for audio events,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling Audio set: An ontology and human- labeled dataset for audio events,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.426314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.185547Z digest=sha256:6be3b8f63aad06374bac53d1dda1fb0e9e5fb6f9e089611bea2268ff07ce7c01

Observation 78429498-d8b2-4317-aa59-12a532b08ed5 · outbound

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

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling Perceptual evaluation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.409117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.190446Z digest=sha256:bc05b3611a46d5e33f9ac737064786a3202618da5bbe9280425b7ec8ef1d6bf0

Observation 7bb1bff7-a674-47ad-8515-865f963ee91b · outbound

This paper cites An algorithm for predicting the intelligibility of speech masked by modulated noise maskers,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling An algorithm for predicting the intelligibility of speech masked by modulated noise maskers,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T11:52:02.194971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:52:02.194971Z digest=sha256:8833e428ecff038c5fbb093807471a20823bcae4b5effa589d7839278955b330

Observation 6946ca85-01d5-4245-9b20-b045af5ec7f8 · outbound

This paper cites Performance measurement in blind audio source separation,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling Performance measurement in blind audio source separation,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.374604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.199574Z digest=sha256:97e2a55559e10ca10e0a5c4b2a5832506b8863709f7e4e4358f1c32dd6354d5f

Observation 33c0ce8f-ecc4-4c3a-9ddc-c30cef0f8d25 · outbound

This paper cites DNSMOS: A non-intrusive perceptual objective speech quality metric to evaluate noise suppressors,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling DNSMOS: A non-intrusive perceptual objective speech quality metric to evaluate noise suppressors,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.359508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.203935Z digest=sha256:825529a84b6960f4e8a6ec7b34837d61277849965b462296da0b230c8df9d9a3

Observation 6bd4f2ca-60b1-40aa-a41d-5da8d227ff4e · outbound

This paper cites Comparative intelligibility investigation of single-channel noise-reduction algorithms for Chinese, Japanese, and English,.

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling Comparative intelligibility investigation of single-channel noise-reduction algorithms for Chinese, Japanese, and English,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:52:02.344458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T11:52:02.208288Z digest=sha256:173e36d8301cdd570704b5152231a86366cc57dee5d90ef473ac51837093d8fa

Pith citing papers

Observation 7e756b8c-a242-4173-b0b9-26a309a11357 · inbound

Less is More: Data Curation Matters in Scaling Speech Enhancement cites this paper.

Less is More: Data Curation Matters in Scaling Speech Enhancement Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:34:11.146381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:34:10.985344Z digest=sha256:f04679aa8719919f7f245de1e006cb3990b4dc35e5b1aeca0eb0e86b25776bb4