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Paper Citation Record · LEDGER

Coarse-to-fine Optimization for Speech Enhancement

As of 15 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:1908.08044.

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

pith.paper-citation-record.v1
1908.08044 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:54:36.843057Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:54:36.680747Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T11:54:36.923342Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact2
  • verified fuzzy36
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b82b3cf0-c8ec-4a9e-b2f8-0d344bd7877d · outbound

This paper cites It has quite a few applications including noise cancelling, audio editing, prepro- cessing for speech recognition, just to name a few.

Coarse-to-fine Optimization for Speech Enhancement It has quite a few applications including noise cancelling, audio editing, prepro- cessing for speech recognition, just to name a few

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation eb530d79-a074-4ab6-baa9-c0566cfd6e41 · outbound

This paper cites an unresolved cited work.

Coarse-to-fine Optimization for Speech Enhancement Unresolved cited work

Reference 2

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unresolved
raw_fallback, observed 2026-08-14T11:54:37.366376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8b844a30-b098-42ef-b412-2dca6e829c21 · outbound

This paper cites The size of the vector decides the granularity how we divide the signal x.

Coarse-to-fine Optimization for Speech Enhancement The size of the vector decides the granularity how we divide the signal x

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f820d9a0-c851-4a7f-9c7c-8da7062335b7 · outbound

This paper cites Particularly in generative models, the proposed dynamic per- ceptual loss could further improve the accuracy obtained from optimizing the cosine similarity loss from coarse to fine.

Coarse-to-fine Optimization for Speech Enhancement Particularly in generative models, the proposed dynamic per- ceptual loss could further improve the accuracy obtained from optimizing the cosine similarity loss from coarse to fine

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.343503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:54:36.694177Z digest=sha256:51fd070bc19257f863a6107ff485087fcc5de33de05e1b2c1ce6028af4407711

Observation 6a7cb071-6d65-4f6e-9da2-0cac584f0a88 · outbound

This paper cites Inspired by the coarse-to-fine idea, we further pro- posed the dynamic perceptual loss as the adversarial loss term in the generator training of GAN.

Coarse-to-fine Optimization for Speech Enhancement Inspired by the coarse-to-fine idea, we further pro- posed the dynamic perceptual loss as the adversarial loss term in the generator training of GAN

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.331474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 11218330-d56c-498b-8af7-be7fc6179144 · outbound

This paper cites Coarse-to-fine Optimization for Speech Enhancement.

Coarse-to-fine Optimization for Speech Enhancement Coarse-to-fine Optimization for Speech Enhancement

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:54:36.927803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d395f4e8-3f01-4e0c-ae2b-0224ffeb4690 · outbound

This paper cites Triplet loss based cosine similarity metric learning for text-independent speaker recognition,.

Coarse-to-fine Optimization for Speech Enhancement Triplet loss based cosine similarity metric learning for text-independent speaker recognition,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.320123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cbcd6aa4-4f2d-4a8a-ad25-bc8dda16f568 · outbound

This paper cites Enhancement of speech corrupted by acoustic noise,.

Coarse-to-fine Optimization for Speech Enhancement Enhancement of speech corrupted by acoustic noise,

Reference 8

Resolution
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raw_fallback, observed 2026-08-14T11:54:37.308410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:54:36.706930Z digest=sha256:6328c493d76c66695bb94dde901abce3452e73875a4b4df91ccbb02c9f2f1d4d

Observation 6813e7cc-763d-426a-8da3-1059e4eefcdb · outbound

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

Coarse-to-fine Optimization for Speech Enhancement All-pole modeling of degraded speech,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.295750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:54:36.710971Z digest=sha256:480de989a3bb1251bbd7b51e58125e8dd801136fe993d373abf85887810b5b43

Observation 41e62ab1-1638-4b2e-914c-6b0109cf62e5 · outbound

This paper cites Segan: Speech enhance- ment generative adversarial network,.

Coarse-to-fine Optimization for Speech Enhancement Segan: Speech enhance- ment generative adversarial network,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.283900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b11c4c0b-7d55-4a5a-8aab-25dde81c1284 · outbound

This paper cites Speech Denoising with Deep Feature Losses.

Coarse-to-fine Optimization for Speech Enhancement Speech Denoising with Deep Feature Losses

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T11:54:36.719064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e3f58909-bef8-49ec-a6f2-f32fad5a64dd · outbound

This paper cites Time-frequency masking- based speech enhancement using generative adversarial network,.

Coarse-to-fine Optimization for Speech Enhancement Time-frequency masking- based speech enhancement using generative adversarial network,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.271447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:54:36.724024Z digest=sha256:6246bbea03f504475578e7c837c6e0b8ff680d8457871b9fec73087c5c9920cf

Observation 6bcf553b-0381-4d5e-b1d6-703dcc5a95f4 · outbound

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

Coarse-to-fine Optimization for Speech Enhancement A convolutional recurrent neural network for real-time speech enhancement,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.258660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:54:36.727784Z digest=sha256:50f506175936dc271f2d67d906c34fae3d5f14e75ea19c42b841eddb1ecebad3

Observation c9df398a-2e2a-46f0-ac11-aa7f472582b6 · outbound

This paper cites Phase-aware speech enhancement with deep complex u-net,.

Coarse-to-fine Optimization for Speech Enhancement Phase-aware speech enhancement with deep complex u-net,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.247312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0b653f02-5077-46dc-8ce3-3bec979b54c2 · outbound

This paper cites End-to-end waveform utterance enhancement for direct evaluation metrics op- timization by fully convolutional neural networks,.

Coarse-to-fine Optimization for Speech Enhancement End-to-end waveform utterance enhancement for direct evaluation metrics op- timization by fully convolutional neural networks,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.235966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 48bd1b44-f423-4fa1-88ce-05a5e6deb0e6 · outbound

This paper cites Conditional generative adversarial networks for speech enhancement and noise-robust speaker verifi- cation,.

Coarse-to-fine Optimization for Speech Enhancement Conditional generative adversarial networks for speech enhancement and noise-robust speaker verifi- cation,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.224191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:54:36.739193Z digest=sha256:410872e0141c3107201028b9a4d770a6920752780eafe15f4c04347c50d27f4a

Observation d10680cf-60f6-4453-b881-3328175ea674 · outbound

This paper cites Gener- ative adversarial network based postfilter for stft spectrograms,.

Coarse-to-fine Optimization for Speech Enhancement Gener- ative adversarial network based postfilter for stft spectrograms,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.212517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation fbbd131a-7457-409a-99f8-3b970e479c11 · outbound

This paper cites A regression ap- proach to speech enhancement based on deep neural networks,.

Coarse-to-fine Optimization for Speech Enhancement A regression ap- proach to speech enhancement based on deep neural networks,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.200999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 881270e1-61c2-4b5d-abec-c6183b880cb0 · outbound

This paper cites Speech enhancement in multiple noise conditions using deep neural networks,.

Coarse-to-fine Optimization for Speech Enhancement Speech enhancement in multiple noise conditions using deep neural networks,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.189461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e83c297e-f6da-42a1-9f76-fffa0107184c · outbound

This paper cites Speech enhancement with lstm recurrent neural networks and its application to noise-robust asr,.

Coarse-to-fine Optimization for Speech Enhancement Speech enhancement with lstm recurrent neural networks and its application to noise-robust asr,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.177752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 94b215db-92e6-4e25-bca5-9237b7874056 · outbound

This paper cites Speech enhancement based on deep denoising autoencoder,.

Coarse-to-fine Optimization for Speech Enhancement Speech enhancement based on deep denoising autoencoder,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.165486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d0f8c13e-ee43-4b5d-9ad7-3897dd4a7c13 · outbound

This paper cites Generative adver- sarial nets,.

Coarse-to-fine Optimization for Speech Enhancement Generative adver- sarial nets,

Reference 22

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raw_fallback, observed 2026-08-14T11:54:37.154314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2d6b62d2-b821-45e7-a052-b988cf056d75 · outbound

This paper cites Conditional Generative Adversarial Nets.

Coarse-to-fine Optimization for Speech Enhancement Conditional Generative Adversarial Nets

Reference 23

Resolution
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no resolver link, observed 2026-08-14T11:54:36.766323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation de0bdedd-2d4a-4386-8dde-81442476f5e2 · outbound

This paper cites Image-to-image trans- lation with conditional adversarial networks,.

Coarse-to-fine Optimization for Speech Enhancement Image-to-image trans- lation with conditional adversarial networks,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.142656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ab2e1e64-abd3-4e8d-95dc-027baf958fd2 · outbound

This paper cites Deep multi-scale video prediction beyond mean square error,.

Coarse-to-fine Optimization for Speech Enhancement Deep multi-scale video prediction beyond mean square error,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.131523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a7ce552d-1edd-4f00-9453-1715cabdeb8b · outbound

This paper cites Generative image modeling using style and structure adversarial networks,.

Coarse-to-fine Optimization for Speech Enhancement Generative image modeling using style and structure adversarial networks,

Reference 26

Resolution
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raw_fallback, observed 2026-08-14T11:54:37.120583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 90df290c-5377-41d0-be38-8d9181ed557b · outbound

This paper cites A fully convolutional neural network for speech enhancement,.

Coarse-to-fine Optimization for Speech Enhancement A fully convolutional neural network for speech enhancement,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.109203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 46b06bc7-4d59-4741-9bd7-97c97978602b · outbound

This paper cites Real-time coarse- to-fine topologically preserving segmentation,.

Coarse-to-fine Optimization for Speech Enhancement Real-time coarse- to-fine topologically preserving segmentation,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.097737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7f35085c-63e2-45d7-bdf4-501ffe1b7059 · outbound

This paper cites Optical flow estimation,.

Coarse-to-fine Optimization for Speech Enhancement Optical flow estimation,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.086446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:54:36.788821Z digest=sha256:8d2050ccc1a7a588cacb432ae01e3f4a3a2c5685cd429451c244e90607f215d7

Observation 46d91b98-d1d0-4512-9876-a278ff383dbc · outbound

This paper cites Short term spectral analysis, synthesis, and mod- ification by discrete fourier transform,.

Coarse-to-fine Optimization for Speech Enhancement Short term spectral analysis, synthesis, and mod- ification by discrete fourier transform,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.075501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:54:36.792531Z digest=sha256:8c9415fa92bc6acc648680d8f9e3321a5b36c5ee3fd5d6a66ccd81290c17414a

Observation 7bbe0d97-954c-48e9-8ac7-a2c915d6d261 · outbound

This paper cites Time-frequency masking in the complex domain for speech dereverberation and denoising,.

Coarse-to-fine Optimization for Speech Enhancement Time-frequency masking in the complex domain for speech dereverberation and denoising,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.064365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:54:36.796363Z digest=sha256:ece0532dc7e61427b56bdc0c72d39fa17bdccef5ebb3827b009402b951c99459

Observation fe03b838-f8f6-4202-b492-3d11eedb5046 · outbound

This paper cites A guide to convolution arithmetic for deep learning.

Coarse-to-fine Optimization for Speech Enhancement A guide to convolution arithmetic for deep learning

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-14T11:54:36.800187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:54:36.800187Z digest=sha256:99dd339d8e270df71afce4d069725cd266c20ebaddfb6f5b52feef56f91c45fd

Observation cb28e5d2-6f07-4b15-af81-62613e8d574d · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift,.

Coarse-to-fine Optimization for Speech Enhancement Batch normalization: Accelerating deep network training by reducing internal covariate shift,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.053107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:54:36.804196Z digest=sha256:a83ecfc2c0b3893f730d06293714a475623fef4e085cefe3d5435482521d8ffc

Observation fa57ffa3-90fb-4349-a72a-9149b9d9c051 · outbound

This paper cites Rectifier nonlinear- ities improve neural network acoustic models,.

Coarse-to-fine Optimization for Speech Enhancement Rectifier nonlinear- ities improve neural network acoustic models,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.041374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:54:36.807870Z digest=sha256:b9d462cac4d89aad51cd77ff765a5c60fa88bdfff3c7b66918945c71bb7fa9b0

Observation 5f4c4d9f-c38e-43ec-8baf-690936be4628 · outbound

This paper cites Deepface: Closing the gap to human-level performance in face verifica- tion,.

Coarse-to-fine Optimization for Speech Enhancement Deepface: Closing the gap to human-level performance in face verifica- tion,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.029894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:54:36.811509Z digest=sha256:78ebd6b18f5758d87f68fcf2a14eaa449aa186b35287acb78cd8237bba245c67

Observation 323247aa-6a23-410f-a326-27b32166eb9a · outbound

This paper cites A wavenet for speech denois- ing,.

Coarse-to-fine Optimization for Speech Enhancement A wavenet for speech denois- ing,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.016950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:54:36.815371Z digest=sha256:f74287df509a3a643e16be01f22ff41daf14ac1d15840dd58d4b36f5bcea2d43

Observation 213a08b9-4803-42f0-9c74-8d110061d95f · outbound

This paper cites Noisy speech database for training speech enhancement algorithms and tts models,.

Coarse-to-fine Optimization for Speech Enhancement Noisy speech database for training speech enhancement algorithms and tts models,

Reference 37

Resolution
verified exact
doi, observed 2026-08-14T11:54:36.876768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:54:36.819541Z digest=sha256:81e0d63e657d769aa609a3cf598d5b7a821b4bff66e00a223385ffdb2f297460

Observation 2a747826-600a-4162-9a45-53f92630484f · outbound

This paper cites The diverse environments multi-channel acoustic noise database: A database of multichan- nel environmental noise recordings,.

Coarse-to-fine Optimization for Speech Enhancement The diverse environments multi-channel acoustic noise database: A database of multichan- nel environmental noise recordings,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:37.004595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:54:36.824156Z digest=sha256:9d4c55fadbc7df35a803a7461e6c4857c4baa714a4742a55f778f13a790cd220

Observation d6a69fec-db6f-4355-b54e-0ddf9a403cb8 · outbound

This paper cites The voice bank corpus: Design, collection and data analysis of a large regional accent speech database,.

Coarse-to-fine Optimization for Speech Enhancement The voice bank corpus: Design, collection and data analysis of a large regional accent speech database,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:36.991778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:54:36.827974Z digest=sha256:fe6aeeaf46cfa676830fb2aa0d7eb8f482d9857342c1c636b14a162ce68f8a71

Observation ef6bac79-c296-4b7e-b93a-26668bfd0643 · outbound

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

Coarse-to-fine Optimization for Speech Enhancement Evaluation of objective quality measures for speech enhancement,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:36.979302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:54:36.831665Z digest=sha256:484c9c5cda452b9ccff5f57c4e80f669b13763fc9c73cea9219e2986c116f694

Observation 236b9ec3-a5f6-4c68-b73d-186690e84d60 · outbound

This paper cites P.862.2: Wideband extension to recommendation p. 862 for the assessment of wideband telephone networks and speech codecs,.

Coarse-to-fine Optimization for Speech Enhancement P.862.2: Wideband extension to recommendation p. 862 for the assessment of wideband telephone networks and speech codecs,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:36.966423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:54:36.835475Z digest=sha256:75216b7bf48876b779db29f20d6fce6bff86ef3ce68dcb6695fa7c9d45f2e9c7

Observation a792a163-9e9d-4da8-bef7-90346ca0f860 · outbound

This paper cites an unresolved cited work.

Coarse-to-fine Optimization for Speech Enhancement Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:54:36.951689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:54:36.839240Z digest=sha256:ebb3204066dacde5451ec9386df50575fe3ba20d2cc8eaf58572023be13fc485

Observation 9e0296c3-75a1-45c8-8b09-5acc54ad3c7e · outbound

This paper cites Adam: A method for stochastic opti- mization,.

Coarse-to-fine Optimization for Speech Enhancement Adam: A method for stochastic opti- mization,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:36.939969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:54:36.843057Z digest=sha256:85d174ee5b7154f7b8f931b8a0e35a7fbc298a515225fb2414746765d65c1207

Pith citing papers

Observation 11218330-d56c-498b-8af7-be7fc6179144 · inbound

Coarse-to-fine Optimization for Speech Enhancement cites this paper.

Coarse-to-fine Optimization for Speech Enhancement Coarse-to-fine Optimization for Speech Enhancement

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:54:36.927803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:54:36.680747Z digest=sha256:ced708924de4f55c57042aa281a19ba2df1d87b1bcce6db7978e2140c86945b1