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Paper Citation Record · LEDGER

SEED: Speaker Embedding Enhancement Diffusion Model

As of 19 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2505.16798.

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

pith.paper-citation-record.v1
2505.16798 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:58:52.074099Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:58:45.905186Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:58:52.250127Z

Reference resolution

49 of 49 outbound references displayed

  • verified exact1
  • verified fuzzy37
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 151921a1-b8f8-4001-b6fa-f7a90303ad54 · outbound

This paper cites an unresolved cited work.

SEED: Speaker Embedding Enhancement Diffusion Model Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:59:02.523660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:45.839015Z digest=sha256:d2c47198aa94daf1ea6f55744cdae4216f8414f9b566aed863667d920f7cf4cf

Observation 9a2ed040-752f-4d40-b350-6c79888915c3 · outbound

This paper cites SEED: Speaker Embedding Enhancement Diffusion Model.

SEED: Speaker Embedding Enhancement Diffusion Model SEED: Speaker Embedding Enhancement Diffusion Model

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:58:52.419895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:45.905186Z digest=sha256:a5586c243b7a24b4e8b9c0381e31cac1b698e3e5b7aa462f30d7ec1bc8e51595

Observation 04127b2f-b406-40d6-ac06-ed2446999780 · outbound

This paper cites The concept, process, and model structure of our methodology are shown in Figure 1.

SEED: Speaker Embedding Enhancement Diffusion Model The concept, process, and model structure of our methodology are shown in Figure 1

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:59:02.282157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:46.041704Z digest=sha256:bf225d00efaf610e93aef711b44fc01e5f25f1e7e0f8f3d778fdd38efe07ab86

Observation 6f4f20cc-172b-45a7-a58e-3d9cf3324a78 · outbound

This paper cites Model Configuration 4.1.1.

SEED: Speaker Embedding Enhancement Diffusion Model Model Configuration 4.1.1

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:59:02.072511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:46.204502Z digest=sha256:693a86407953c225cd07b1464f2f7cc4f8e75036cd4b712d63e0a822001f03b5

Observation 1227d4a9-9fe5-4d66-976b-10cef3131131 · outbound

This paper cites an unresolved cited work.

SEED: Speaker Embedding Enhancement Diffusion Model Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:59:01.578540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:46.463961Z digest=sha256:9bc6f6eae97ffd3147f72d1322358fa7a78e7220c328006d58338c33ab1b4a35

Observation e64afc75-38e5-4fc6-a1bb-b9055a0689e6 · outbound

This paper cites The SNR is randomly selected within 0–15 dB for background noise and 5–15 dB for music noise.

SEED: Speaker Embedding Enhancement Diffusion Model The SNR is randomly selected within 0–15 dB for background noise and 5–15 dB for music noise

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:59:01.883523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:46.354460Z digest=sha256:dfe4bf9a60741575da04698612b00e4307877fffdd6c3f99b752d43fee0cf2bb

Observation 3ec9afe0-3297-412a-a29b-9beb3bb5a0b0 · outbound

This paper cites It seamlessly integrates with pre-trained speaker recognition models, enabling immediate deployment in speaker recognition systems for real-world applications.

SEED: Speaker Embedding Enhancement Diffusion Model It seamlessly integrates with pre-trained speaker recognition models, enabling immediate deployment in speaker recognition systems for real-world applications

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:59:01.374546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:46.587893Z digest=sha256:66b77e7e173ea139a67f124def2573b632ba745019cbe5b86b3b4fe6e4b269fd

Observation da568657-9617-4143-a994-ec5df7e95ede · outbound

This paper cites an unresolved cited work.

SEED: Speaker Embedding Enhancement Diffusion Model Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:59:01.103880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:46.693436Z digest=sha256:6bfc4c2bd9f701390d3cc7e8957d85fbd3f08a593be30044d4a88da8fd06dd2e

Observation d72e78a9-c2d6-4ea1-a6cb-5cd54b2c7f2d · outbound

This paper cites Speaker recognition: A tutorial,.

SEED: Speaker Embedding Enhancement Diffusion Model Speaker recognition: A tutorial,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:59:00.817054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:46.795808Z digest=sha256:595101fa6591f05da66b9c9030331df79a87618a3fe3ac195ce03a3a0d6fbe80

Observation d102b145-19ae-4f7e-b870-853e4637a92f · outbound

This paper cites Disentangled representation learning for environment-agnostic speaker recognition,.

SEED: Speaker Embedding Enhancement Diffusion Model Disentangled representation learning for environment-agnostic speaker recognition,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:59:00.550661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:46.895134Z digest=sha256:d19b1d7deedade3b38bf7f3cedd3bbf2bbc887b502bbb578dbbd5fbb77615301

Observation f6d22af8-5ac4-4d69-8cfd-ff9c7b651959 · outbound

This paper cites V oxceleb: Large-scale speaker verification in the wild,.

SEED: Speaker Embedding Enhancement Diffusion Model V oxceleb: Large-scale speaker verification in the wild,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:47.033030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:47.033030Z digest=sha256:cd9117780afdb8fcb203a9840ddb904d83abc2bf185009f0488e0570358ccfe8

Observation 1ec68968-257d-449e-8975-dc15a300effb · outbound

This paper cites V oxCeleb2: Deep Speaker Recognition,.

SEED: Speaker Embedding Enhancement Diffusion Model V oxCeleb2: Deep Speaker Recognition,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:47.164905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:47.164905Z digest=sha256:4d6dce5313ec0cf56e85266a04b2c694343031e9d7fd3ffee7e50ea29a5c8c41

Observation 035a61bb-677f-485b-b181-4e1aabe66861 · outbound

This paper cites MUSAN: A Music, Speech, and Noise Corpus.

SEED: Speaker Embedding Enhancement Diffusion Model MUSAN: A Music, Speech, and Noise Corpus

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:47.271712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:47.271712Z digest=sha256:75f0c74c8f7c275245286951738efd2bd8457f86bf1bb0eef92ffcdcdc1a4d1f

Observation dd9817a7-3812-4657-a9a4-ebff16be2c82 · outbound

This paper cites A study on data augmentation of reverberant speech for robust speech recognition,.

SEED: Speaker Embedding Enhancement Diffusion Model A study on data augmentation of reverberant speech for robust speech recognition,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:59:00.346032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:47.392517Z digest=sha256:f1a51d42b2fb64ce7b0b0d242a8401a5bce9a7f1f885569bc6144cdb47d812cc

Observation fe46f6b9-3a4e-4d1c-864f-46612e7e7f26 · outbound

This paper cites Disentangled Representation Learning.

SEED: Speaker Embedding Enhancement Diffusion Model Disentangled Representation Learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:47.491212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:47.491212Z digest=sha256:b7e8e20b7fef6d354f1e7b6ca2e5b8b4c661a69caf406c63d69dffa04a7222ca

Observation 801211fa-3e30-4229-86e6-d42eec508bf5 · outbound

This paper cites Disentangled representation learning for multilingual speaker recognition,.

SEED: Speaker Embedding Enhancement Diffusion Model Disentangled representation learning for multilingual speaker recognition,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:59:00.046954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:47.606440Z digest=sha256:76c2f16599ba83668a7415d6592e6e33d33e14b9822ad3d6c088fe3aaee66291

Observation eb6c17de-de7b-4952-8f15-3b23d94ab273 · outbound

This paper cites Denoising diffusion probabilistic models,.

SEED: Speaker Embedding Enhancement Diffusion Model Denoising diffusion probabilistic models,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:47.756888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:47.756888Z digest=sha256:6a5b3ba5dc1c18d3618980831396f4336d3faa2ed6bec691a4d3c9ddc92d54c3

Observation d02a9561-8cd1-417e-a26c-ba60d0ac8b81 · outbound

This paper cites Denoising diffusion implicit models,.

SEED: Speaker Embedding Enhancement Diffusion Model Denoising diffusion implicit models,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:59.807980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:47.835306Z digest=sha256:71472ed5efc32a19a618fabbe712bfcb992bb8c6d2b9ffdb7d2a3f7dd4540345

Observation b05ff368-253d-4aef-af28-18fee70d513b · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

SEED: Speaker Embedding Enhancement Diffusion Model Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:47.945788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:47.945788Z digest=sha256:0bdaf5cde1c3da40547bcd311b697041940551efa8634e7de6cd73bef7ce662f

Observation 3cb16d64-5515-43fb-a125-d90c3c073001 · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

SEED: Speaker Embedding Enhancement Diffusion Model High-resolution image synthesis with latent diffusion models,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:59.552203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:48.093320Z digest=sha256:26ada93ab6091b9c1bc98cfa0036750b1eee6140893eb3d158db9325a1a12b3b

Observation b812bce6-c714-4507-ae85-0f747448f5e4 · outbound

This paper cites Audioldm: text-to-audio generation with latent diffusion models,.

SEED: Speaker Embedding Enhancement Diffusion Model Audioldm: text-to-audio generation with latent diffusion models,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:59.318343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:48.222472Z digest=sha256:1c979b441a69d5befa94c62ef206b92d54252dee3613e1865473d8614028c8bb

Observation 1dc2c5c6-8251-40f8-a5d5-31679d995d4f · outbound

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

SEED: Speaker Embedding Enhancement Diffusion Model Suppression of acoustic noise in speech using spectral subtraction,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:59.001025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:48.362110Z digest=sha256:0a59ab93f12ec149e18e2cacbe6bc6ae8283cdf1175314090ae2e93c118a2fd2

Observation ff49cc2f-9c9c-4287-b407-38d664eb0b21 · outbound

This paper cites Enhancement and bandwidth compression of noisy speech,.

SEED: Speaker Embedding Enhancement Diffusion Model Enhancement and bandwidth compression of noisy speech,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:58.768191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:48.486451Z digest=sha256:52a455264be500e28e7eae5b11d2f9c4a20cc522f1b89f32fdb9ead79fd377af

Observation 3a36315e-b815-40f5-a18f-ef660e979cff · outbound

This paper cites Speech enhancement using a minimum- mean square error short-time spectral amplitude estimator,.

SEED: Speaker Embedding Enhancement Diffusion Model Speech enhancement using a minimum- mean square error short-time spectral amplitude estimator,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:58.471138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:48.640547Z digest=sha256:4d5a9f3b0e0261dbaa74f51ccd47fa32776c9ee3471a68f916d1786151c80654

Observation aa78f462-3243-4cc3-9f05-4809e9716f94 · outbound

This paper cites Speech enhancement based on deep denoising autoencoder.

SEED: Speaker Embedding Enhancement Diffusion Model Speech enhancement based on deep denoising autoencoder

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:58.234859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:48.790473Z digest=sha256:d3588da561e09cf99febb98a45cd4329132d954c9f9acd0e08ea23d7fe79e24b

Observation dab1bf09-8ebf-4729-b785-2c24aac1f534 · outbound

This paper cites A new framework for cnn-based speech enhancement in the time domain,.

SEED: Speaker Embedding Enhancement Diffusion Model A new framework for cnn-based speech enhancement in the time domain,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:57.974513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:48.918712Z digest=sha256:0681c3c369c404017c31adc879e5f321fad41208c40f3ea46cd542c5e014f58d

Observation c9fb40ff-acca-45a0-968c-21c612d12d39 · outbound

This paper cites Segan: Speech enhancement generative adversarial network,.

SEED: Speaker Embedding Enhancement Diffusion Model Segan: Speech enhancement generative adversarial network,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:57.724025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:49.042300Z digest=sha256:a7e02aeed4f0e700b1cff6927f2c8466797e5815faa8bdf6b2088101f0aff5fe

Observation 66eecd39-056d-44d9-8be0-dc1455e45e94 · outbound

This paper cites A variance modeling framework based on variational autoencoders for speech enhancement,.

SEED: Speaker Embedding Enhancement Diffusion Model A variance modeling framework based on variational autoencoders for speech enhancement,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:57.454916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:49.167494Z digest=sha256:cdc30cdb1027ff7b99babaaac7693862ca327e965aba610110e910dc6c2d5c3a

Observation 47492a07-ef13-44bd-a9f4-612969f4d7b7 · outbound

This paper cites Speech enhancement with score-based generative models in the complex stft domain,.

SEED: Speaker Embedding Enhancement Diffusion Model Speech enhancement with score-based generative models in the complex stft domain,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:57.190676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:49.292968Z digest=sha256:d605ce6c8633d3ec5744e6fa1efaf5f61082002c27515d70c951f26ddbbe26bd

Observation 9681be54-01c5-47e3-9e35-c5bc55a5bea7 · outbound

This paper cites How bad are artifacts?: Analyzing the impact of speech enhancement errors on asr,.

SEED: Speaker Embedding Enhancement Diffusion Model How bad are artifacts?: Analyzing the impact of speech enhancement errors on asr,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:56.890430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:49.423046Z digest=sha256:6e9973fba40516117c672e3f9ad365654ac382eb809df8a6c06c3745cee845a2

Observation 1e6c2ecd-f66d-4e8d-a508-22df5c104a17 · outbound

This paper cites Audio enhancing with dnn autoencoder for speaker recognition,.

SEED: Speaker Embedding Enhancement Diffusion Model Audio enhancing with dnn autoencoder for speaker recognition,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:56.648137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:49.527248Z digest=sha256:c57e5e713ce77f3b795fb691af42ce7d2fc16365af08a1fef4bd876953d91246

Observation 612b79e4-ecd7-483d-9fa7-a085acc1b8e0 · outbound

This paper cites Front-end speech enhancement for commercial speaker verification systems,.

SEED: Speaker Embedding Enhancement Diffusion Model Front-end speech enhancement for commercial speaker verification systems,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:56.358358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:49.713951Z digest=sha256:d4b2a50ea8181d16970ea172ae4f8912779f80656a41d8218abfa67b1a6654b0

Observation 0651d02a-10e3-4958-a8df-4884fcd5a6a6 · outbound

This paper cites Joint feature en- hancement and speaker recognition with multi-objective task-oriented network.

SEED: Speaker Embedding Enhancement Diffusion Model Joint feature en- hancement and speaker recognition with multi-objective task-oriented network

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:56.144604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:49.846457Z digest=sha256:789661b1e4be30e829be7568275c33f72c9ffeab321467612944e0127c9f8bfc

Observation fd6d7747-ce5e-4617-a6b8-b295b86b56bd · outbound

This paper cites Analysis of i-vector length normalization in speaker recognition systems.

SEED: Speaker Embedding Enhancement Diffusion Model Analysis of i-vector length normalization in speaker recognition systems

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:55.923433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:50.006635Z digest=sha256:c459a98c98ce133c325ec4532289f51531a8dcf9db0f7a37bdbaf852b8c6c1bd

Observation e8fabee0-5c3a-43e0-a32e-6f9657e23eca · outbound

This paper cites Selective deep speaker embedding enhancement for speaker verification,.

SEED: Speaker Embedding Enhancement Diffusion Model Selective deep speaker embedding enhancement for speaker verification,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:55.614152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:50.148482Z digest=sha256:1ed8ab1481e6166000db754750f916a450dbd642e4c9b8ad5398bfecdeb9be3b

Observation fea8791a-0bc9-4831-9787-954beb2e94ae · outbound

This paper cites The ins and outs of speaker recognition: lessons from V oxSRC 2020,.

SEED: Speaker Embedding Enhancement Diffusion Model The ins and outs of speaker recognition: lessons from V oxSRC 2020,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:55.436313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:50.290068Z digest=sha256:24feb54ffca52789df7716012d5a6e5cc851ee2b611e5a75ac92a177aaf9842e

Observation 8b142e74-9560-4e32-b10f-2fee55f9690f · outbound

This paper cites ECAPA-TDNN: Emphasized channel attention, propagation and aggregation in tdnn based speaker verification,.

SEED: Speaker Embedding Enhancement Diffusion Model ECAPA-TDNN: Emphasized channel attention, propagation and aggregation in tdnn based speaker verification,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:55.161007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:50.392006Z digest=sha256:a32d1c13367dec736aa2075d66f95bdc3429ee1fe964d92e118382aa45768259

Observation 05b5a33e-a1d5-494e-80c5-722a96c97fe4 · outbound

This paper cites Wavlm: Large-scale self-supervised pre-training for full stack speech processing,.

SEED: Speaker Embedding Enhancement Diffusion Model Wavlm: Large-scale self-supervised pre-training for full stack speech processing,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:54.910704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:50.551287Z digest=sha256:ee5d4b9e5bfd74776f79023fbb93513f273d0b8df96940586e92a1df7f226466

Observation a82bb7b3-c26d-4b38-822a-447a612427f3 · outbound

This paper cites Real time speech enhancement in the waveform domain,.

SEED: Speaker Embedding Enhancement Diffusion Model Real time speech enhancement in the waveform domain,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:54.662133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:50.657659Z digest=sha256:80445cbb45c9c08bea3b85c8dca0401bc13da36cae8b97dc3eddc69ee94184a0

Observation 42cfc860-03f1-42d2-b54a-b0651eb34db1 · outbound

This paper cites Return of unconditional generation: A self-supervised representation generation method,.

SEED: Speaker Embedding Enhancement Diffusion Model Return of unconditional generation: A self-supervised representation generation method,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:54.374486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:50.792468Z digest=sha256:8f8ed6465589d0da8e60481726fdadd461f71c2f0416ebe86b9f7a4297700481

Observation ce991142-887d-4e76-8840-c46ae5ae888c · outbound

This paper cites Layer normalization,.

SEED: Speaker Embedding Enhancement Diffusion Model Layer normalization,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:54.157190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:50.905731Z digest=sha256:6f933d20ad776f6cec5cee62203472cd3755d9c9ac33479377bc476db8a71984

Observation 273afe02-a358-4985-820a-8ce972180f6e · outbound

This paper cites Sigmoid-weighted linear units for neural network function approximation in reinforcement learning,.

SEED: Speaker Embedding Enhancement Diffusion Model Sigmoid-weighted linear units for neural network function approximation in reinforcement learning,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:51.038151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:51.038151Z digest=sha256:ee49d6bb1c44f84c3746c73c60888accf1799b04d91d1d6bf3e607e146a1126f

Observation 24d10349-dede-41ce-816b-ab67ca9f3db7 · outbound

This paper cites Libritts-r: A restored multi-speaker text-to-speech corpus,.

SEED: Speaker Embedding Enhancement Diffusion Model Libritts-r: A restored multi-speaker text-to-speech corpus,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:53.953644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:51.195296Z digest=sha256:73e6941cf4fba8aa340fc52f98e31e85bf4ebc64e7de60b84b4779eb93502205

Observation f09a3121-0ca7-4cf6-bfc0-a7c3823b3871 · outbound

This paper cites Libri-light: A benchmark for asr with limited or no supervision,.

SEED: Speaker Embedding Enhancement Diffusion Model Libri-light: A benchmark for asr with limited or no supervision,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:53.713522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:51.350809Z digest=sha256:398505a7eeca6bddffc0237af2038296a0cfbdf3fa57a97c7fd624587b9defb4

Observation 093a90fa-6dd7-437e-8f24-4dddb3970260 · outbound

This paper cites The vox celeb speaker recognition challenge: A retrospective,.

SEED: Speaker Embedding Enhancement Diffusion Model The vox celeb speaker recognition challenge: A retrospective,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:53.429215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:51.509396Z digest=sha256:7fb7f6799936bfa8afd9f62813eeccbf57e8a143f6d4bd0c18bc97f03cc948a9

Observation e08378df-50e7-4442-bf72-f056e211e06a · outbound

This paper cites Rethinking session variability: Leveraging session embeddings for session robustness in speaker verification,.

SEED: Speaker Embedding Enhancement Diffusion Model Rethinking session variability: Leveraging session embeddings for session robustness in speaker verification,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:53.202701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:51.643238Z digest=sha256:4f20f6c6b2424620954103f243c5683f88c022c0d086f53c54d9d11afa1f6f14

Observation 6affdd73-9ef5-4055-bc98-1791fc3ea8c6 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

SEED: Speaker Embedding Enhancement Diffusion Model Pytorch: An imperative style, high-performance deep learning library,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:52.942677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:51.799950Z digest=sha256:325f90d996470f35dbb1eef19fc2dc077d17f34aeae701af7307a1f6a6b3954d

Observation 675f3468-89cb-483c-ac96-5623ad9b6fbe · outbound

This paper cites Decoupled weight decay regularization,.

SEED: Speaker Embedding Enhancement Diffusion Model Decoupled weight decay regularization,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:51.932328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:51.932328Z digest=sha256:95302f23f7f95c20fbd14296f3a3a3d76bfcb74ef843844df7d769b43829ab08

Observation db11615d-6c87-4147-9b51-acdd46c55e53 · outbound

This paper cites The 2018 nist speaker recognition evaluation,.

SEED: Speaker Embedding Enhancement Diffusion Model The 2018 nist speaker recognition evaluation,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:58:52.655643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:52.074099Z digest=sha256:3488503ad61d361cd71893dad4e359601f80da0fb035724c414c4966c831f6b3

Pith citing papers

Observation 9a2ed040-752f-4d40-b350-6c79888915c3 · inbound

SEED: Speaker Embedding Enhancement Diffusion Model cites this paper.

SEED: Speaker Embedding Enhancement Diffusion Model SEED: Speaker Embedding Enhancement Diffusion Model

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:58:52.419895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:58:45.905186Z digest=sha256:a5586c243b7a24b4e8b9c0381e31cac1b698e3e5b7aa462f30d7ec1bc8e51595