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Paper Citation Record · LEDGER

Discrete Speech Unit Extraction via Independent Component Analysis

As of 11 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2501.06562.

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

pith.paper-citation-record.v1
2501.06562 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:02:02.635185Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T14:49:22.776209Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

46 of 46 outbound references displayed

  • verified exact0
  • verified fuzzy43
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation c0364648-137c-453a-b774-6ea0557c6984 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

Discrete Speech Unit Extraction via Independent Component Analysis wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 1

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raw_fallback, observed 2026-08-10T21:02:03.649492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.378837Z digest=sha256:2d06c8fa972ed750e309a39a22b8f7829d0e92cf8aec465aee04eba8c836a3be

Observation 2d45a6be-3c8f-429a-8a13-49015854e918 · outbound

This paper cites HuBERT: Self-supervised speech representation learning by masked prediction of hidden units,.

Discrete Speech Unit Extraction via Independent Component Analysis HuBERT: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 2

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raw_fallback, observed 2026-08-10T21:02:03.633585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a805ba30-5422-4c3a-b5ad-60983e452fd9 · outbound

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

Discrete Speech Unit Extraction via Independent Component Analysis WavLM: Large-scale self-supervised pre-training for full stack speech processing,

Reference 3

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raw_fallback, observed 2026-08-10T21:02:03.618603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 4d9fe0a9-0143-4a3c-9257-63b8c60adf85 · outbound

This paper cites XLS-R: Self-supervised cross- lingual speech representation learning at scale,.

Discrete Speech Unit Extraction via Independent Component Analysis XLS-R: Self-supervised cross- lingual speech representation learning at scale,

Reference 4

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raw_fallback, observed 2026-08-10T21:02:03.603057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.398817Z digest=sha256:6de864e386aac4c2fa200ea35573f6f62d86e721499fccb12df159d663dcd45e

Observation fdeb3a42-74a3-41e2-bc4a-a905361d6af3 · outbound

This paper cites SUPERB: Speech processing universal performance benchmark,.

Discrete Speech Unit Extraction via Independent Component Analysis SUPERB: Speech processing universal performance benchmark,

Reference 5

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raw_fallback, observed 2026-08-10T21:02:03.587094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.404775Z digest=sha256:f02bb17da60cad64b7180ae01c0dc7e7f7bdb54071f4b119d354b8a5a62c596c

Observation 4e7f53ad-0390-4b99-bc1e-dbdfec208951 · outbound

This paper cites SUPERB-SG: Enhanced speech processing universal performance benchmark for semantic and genera- tive capabilities,.

Discrete Speech Unit Extraction via Independent Component Analysis SUPERB-SG: Enhanced speech processing universal performance benchmark for semantic and genera- tive capabilities,

Reference 6

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raw_fallback, observed 2026-08-10T21:02:03.570508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.411047Z digest=sha256:65b5de0b7c3ac49a0ccbfde31589f0035d239b8d896da3c6b8014fb4e75c9e65

Observation af822a98-a8ef-4559-8ea3-25d3d9a9eff4 · outbound

This paper cites ML-SUPERB: Multilingual speech universal performance benchmark,.

Discrete Speech Unit Extraction via Independent Component Analysis ML-SUPERB: Multilingual speech universal performance benchmark,

Reference 7

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raw_fallback, observed 2026-08-10T21:02:03.342903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.417013Z digest=sha256:c6023addc99052ecb6cd7ec9ad817c390d7681dd48b5ff3c77141176ae63d27f

Observation d9c1e40a-15cc-40f0-a4ff-70740b10ebe2 · outbound

This paper cites Dynamic-SUPERB: Towards a dy- namic, collaborative, and comprehensive instruction-tuning benchmark for speech,.

Discrete Speech Unit Extraction via Independent Component Analysis Dynamic-SUPERB: Towards a dy- namic, collaborative, and comprehensive instruction-tuning benchmark for speech,

Reference 8

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raw_fallback, observed 2026-08-10T21:02:03.327481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.421938Z digest=sha256:0c1755567934c0a1ff189fc305503a803b63bdcc540f3652e4a716e750644f17

Observation 02a97dc6-ced7-4a8d-b5cb-710926c21c69 · outbound

This paper cites Layer-wise analysis of a self- supervised speech representation model,.

Discrete Speech Unit Extraction via Independent Component Analysis Layer-wise analysis of a self- supervised speech representation model,

Reference 9

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raw_fallback, observed 2026-08-10T21:02:03.311553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.427379Z digest=sha256:4b2f68349e0e2c78475b4c05b82a710c0d3e9646e065a964a38dfd23afde6bee

Observation a702590c-8884-417d-8733-a2c50a485f3e · outbound

This paper cites Comparative layer-wise analysis of self-supervised speech models,.

Discrete Speech Unit Extraction via Independent Component Analysis Comparative layer-wise analysis of self-supervised speech models,

Reference 10

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raw_fallback, observed 2026-08-10T21:02:03.295683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.432009Z digest=sha256:ece2973abbb169f11494b4f5ab0ed007ddf7b416b424705d6eed013262ad9aca

Observation cf5ea463-ded3-4c58-8034-686ed94fa5f0 · outbound

This paper cites Understanding probe behaviors through variational bounds of mutual information,.

Discrete Speech Unit Extraction via Independent Component Analysis Understanding probe behaviors through variational bounds of mutual information,

Reference 11

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raw_fallback, observed 2026-08-10T21:02:03.278864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.438041Z digest=sha256:09799a035f8cee36d4c0af75e2a7b5b68b075b308b79b00b9841628769c93319

Observation 0f3ba215-a710-4e1a-a203-2bd306a7ee96 · outbound

This paper cites Opening the Black Box of wav2vec Feature Encoder.

Discrete Speech Unit Extraction via Independent Component Analysis Opening the Black Box of wav2vec Feature Encoder

Reference 12

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unresolved
no resolver link, observed 2026-08-10T21:02:02.443267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:02.443267Z digest=sha256:09437c0b2fa176478b0df809b7fc93ab853046bad6ad6269997ac7e5696382a5

Observation 2af6915c-0df7-4f25-b7e3-c9e0d141f1bf · outbound

This paper cites Self-supervised speech repre- sentations are more phonetic than semantic,.

Discrete Speech Unit Extraction via Independent Component Analysis Self-supervised speech repre- sentations are more phonetic than semantic,

Reference 13

Resolution
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raw_fallback, observed 2026-08-10T21:02:03.262348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.449432Z digest=sha256:554e7ff39d146e8e4f34c9fea1d8e20012a7a1713f4a063dd9ac0f3550f1422d

Observation 96a18a02-598c-4511-9de0-f5605251fc3d · outbound

This paper cites The Interspeech 2024 challenge on speech processing using discrete units,.

Discrete Speech Unit Extraction via Independent Component Analysis The Interspeech 2024 challenge on speech processing using discrete units,

Reference 14

Resolution
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raw_fallback, observed 2026-08-10T21:02:03.247062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.454391Z digest=sha256:5978edc76912e3c585f01d2850a94663f07343efdc8db84a3db12a2a47c68793

Observation 381a870c-783c-42ea-a353-4ade5126f2d6 · outbound

This paper cites Exploring speech recognition, translation, and understanding with discrete speech units: A comparative study,.

Discrete Speech Unit Extraction via Independent Component Analysis Exploring speech recognition, translation, and understanding with discrete speech units: A comparative study,

Reference 15

Resolution
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raw_fallback, observed 2026-08-10T21:02:03.231080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.459790Z digest=sha256:8e84adb911894154847f996b98bbb87a5357eb98419e34f325f88c471954c686

Observation b544d778-34b4-4a04-a9cf-9e4b0ea2388b · outbound

This paper cites AudioLM: A language modeling approach to audio generation,.

Discrete Speech Unit Extraction via Independent Component Analysis AudioLM: A language modeling approach to audio generation,

Reference 16

Resolution
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raw_fallback, observed 2026-08-10T21:02:03.214384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.465726Z digest=sha256:ad36734ee978daaf5db7dc49e26d07b7fef27dd0bac3e7c2034f5092ce3b89d3

Observation eddb564b-fbb1-4258-943e-c0ccc6876899 · outbound

This paper cites Direct speech-to-speech translation with discrete units,.

Discrete Speech Unit Extraction via Independent Component Analysis Direct speech-to-speech translation with discrete units,

Reference 17

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raw_fallback, observed 2026-08-10T21:02:03.197886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.470129Z digest=sha256:dbd598c3e71abf62d252253bb0f82cd11ab6021c6b570a1f9070044200ef38d3

Observation f03f7834-4851-4af0-8761-941619f99174 · outbound

This paper cites UnitY: Two-pass direct speech-to-speech translation with discrete units,.

Discrete Speech Unit Extraction via Independent Component Analysis UnitY: Two-pass direct speech-to-speech translation with discrete units,

Reference 18

Resolution
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raw_fallback, observed 2026-08-10T21:02:03.182823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.474416Z digest=sha256:8dd4f7d7699c3acfec9c1f27f6d70d4d8655533db98bf5c29807292f9d21c145

Observation 00eb9dcd-94a7-45f6-bbbb-ca63039a3139 · outbound

This paper cites AudioPaLM: A Large Language Model That Can Speak and Listen.

Discrete Speech Unit Extraction via Independent Component Analysis AudioPaLM: A Large Language Model That Can Speak and Listen

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T21:02:02.479922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:02.479922Z digest=sha256:22f0f8dcd38d782a7df0766f47a9f6e1f19cbb12c0cafeac1284be487ba886be

Observation 296f4a1c-2447-4f05-b0ac-72e144376e46 · outbound

This paper cites V oxtLM: Unified decoder-only models for consolidating speech recognition, synthesis and speech, text continuation tasks,.

Discrete Speech Unit Extraction via Independent Component Analysis V oxtLM: Unified decoder-only models for consolidating speech recognition, synthesis and speech, text continuation tasks,

Reference 20

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raw_fallback, observed 2026-08-10T21:02:03.166744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.486554Z digest=sha256:7d43e2c8c328796a9c45a4e6171ad4633b585b3f0605b96d823976e6bdb1c8ae

Observation 8674e8e6-290e-4514-8287-73c4dac014fd · outbound

This paper cites On generative spoken language modeling from raw audio,.

Discrete Speech Unit Extraction via Independent Component Analysis On generative spoken language modeling from raw audio,

Reference 21

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raw_fallback, observed 2026-08-10T21:02:03.151364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.492298Z digest=sha256:4361c769a4e93a6c7bc850a64ca1f7acc365dd86220b35eaebee8bdb44d279a9

Observation 019f8d6d-e9c8-459c-b44e-35aea695f7d6 · outbound

This paper cites Textually pretrained speech language models,.

Discrete Speech Unit Extraction via Independent Component Analysis Textually pretrained speech language models,

Reference 22

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raw_fallback, observed 2026-08-10T21:02:03.135528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.499665Z digest=sha256:41025b89c983452f8859134a1bdc15e4eb59fc65b6ba32a58af1d42b5fb737ab

Observation 6ee72c18-ca06-4f18-b509-cf73bfac6729 · outbound

This paper cites A comparison of discrete and soft speech units for improved voice conversion,.

Discrete Speech Unit Extraction via Independent Component Analysis A comparison of discrete and soft speech units for improved voice conversion,

Reference 23

Resolution
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raw_fallback, observed 2026-08-10T21:02:03.121630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.504216Z digest=sha256:3839add54447bf77e69d1c041b4928989ed5853cea428e9f9263d4db93d052b0

Observation b9f56245-04ff-42b5-8903-7438f30a4419 · outbound

This paper cites Improved distributed principal component analysis,.

Discrete Speech Unit Extraction via Independent Component Analysis Improved distributed principal component analysis,

Reference 24

Resolution
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raw_fallback, observed 2026-08-10T21:02:03.106103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.509436Z digest=sha256:5336772e6e2f070b6b445063ade28834a852db6c00f6f754e703a9503896f1f7

Observation 7267de77-45cf-4ff6-aca8-6b30b7b48565 · outbound

This paper cites Analyzing acoustic word embeddings from pre-trained self-supervised speech models,.

Discrete Speech Unit Extraction via Independent Component Analysis Analyzing acoustic word embeddings from pre-trained self-supervised speech models,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:03.090301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.515844Z digest=sha256:d74f30eb04d3520e7504193d573a19487f82da16eb95801ca3d261ce5fe61646

Observation f8fd249d-4cf3-412e-a404-b32a11d55998 · outbound

This paper cites Wav2vec behind the scenes: How end2end models learn phonetics.,.

Discrete Speech Unit Extraction via Independent Component Analysis Wav2vec behind the scenes: How end2end models learn phonetics.,

Reference 26

Resolution
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raw_fallback, observed 2026-08-10T21:02:03.074684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.520861Z digest=sha256:c40f51c45c6d2be6c13d8084cfe4c2ca2426fb2736361bf65618fa805f3036b5

Observation a9c33b6f-d172-4839-baee-b528ede7b226 · outbound

This paper cites Orthogonality and isotropy of speaker and phonetic information in self-supervised speech representations,.

Discrete Speech Unit Extraction via Independent Component Analysis Orthogonality and isotropy of speaker and phonetic information in self-supervised speech representations,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:03.059773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.526924Z digest=sha256:a21769a7e284f031f7d4dfe77ab8a28be284d120506ab34cb2e75415bce73aac

Observation 7e7ff25f-e372-4806-97db-159e0f7111d0 · outbound

This paper cites Discovering universal geometry in embeddings with ICA,.

Discrete Speech Unit Extraction via Independent Component Analysis Discovering universal geometry in embeddings with ICA,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:03.043946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.532321Z digest=sha256:0b45f686628cf25cabcaccb777ac06a3dde972f5dc45eca0803a03b00a0a67fd

Observation d2bc8a36-6497-4969-9951-20fdc1625f13 · outbound

This paper cites w2v-BERT: Combining contrastive learning and masked language modeling for self-supervised speech pre-training,.

Discrete Speech Unit Extraction via Independent Component Analysis w2v-BERT: Combining contrastive learning and masked language modeling for self-supervised speech pre-training,

Reference 29

Resolution
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raw_fallback, observed 2026-08-10T21:02:03.027819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.536740Z digest=sha256:f72a0c811d8f72b5cf7d24ec8b0d524fcf163878478ddae51be15b17bc38738f

Observation dd0b5da9-6efc-4298-83b5-01b6db92850b · outbound

This paper cites Whitening Sentence Representations for Better Semantics and Faster Retrieval.

Discrete Speech Unit Extraction via Independent Component Analysis Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T21:02:02.542788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:02.542788Z digest=sha256:f1e470d863380e35b627bcf6427e840629c5f0463b3c3c4d2dace9b2d06100ef

Observation 33819647-efa5-4ac6-8a08-13986dee172f · outbound

This paper cites WhiteningBERT: An easy unsupervised sentence embedding approach,.

Discrete Speech Unit Extraction via Independent Component Analysis WhiteningBERT: An easy unsupervised sentence embedding approach,

Reference 31

Resolution
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raw_fallback, observed 2026-08-10T21:02:03.012433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.548507Z digest=sha256:1d2848e188a747cf4fff650a4223fc72a1f8be19357429d1665009e1d8a920fe

Observation 99e79a83-8853-4ea5-bc5e-970a5b61b7cd · outbound

This paper cites A review of blind source separation methods: Two two converging routes to ILRMA originating from ICA and NMF,.

Discrete Speech Unit Extraction via Independent Component Analysis A review of blind source separation methods: Two two converging routes to ILRMA originating from ICA and NMF,

Reference 32

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raw_fallback, observed 2026-08-10T21:02:02.995547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.554781Z digest=sha256:076c77353491715e70f62e666ef4ffb0063d69f4d0e9a13ad089cebfbeb54331

Observation 5a08eb5f-a568-4333-887e-2050cc9ad1cc · outbound

This paper cites Infomax and maximum likelihood for blind source separation,.

Discrete Speech Unit Extraction via Independent Component Analysis Infomax and maximum likelihood for blind source separation,

Reference 33

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raw_fallback, observed 2026-08-10T21:02:02.978067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.560546Z digest=sha256:fff8d8a80ff98525065991a44d941c737cfa8d8f32597b9308021260e4ebfaf1

Observation 313e837e-8402-49ea-8255-652268432024 · outbound

This paper cites Auxiliary-function-based independent compo- nent analysis for super-gaussian sources,.

Discrete Speech Unit Extraction via Independent Component Analysis Auxiliary-function-based independent compo- nent analysis for super-gaussian sources,

Reference 34

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raw_fallback, observed 2026-08-10T21:02:02.959294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.566126Z digest=sha256:b5eed3d4bb4471a197062d77ce5dfb6dbb48254505fcb085c8ec498a9de4734a

Observation c71ae261-522b-48c2-923e-a7d0393a43fe · outbound

This paper cites LibriSpeech: An ASR corpus based on public domain audio books,.

Discrete Speech Unit Extraction via Independent Component Analysis LibriSpeech: An ASR corpus based on public domain audio books,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:02.942201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.570726Z digest=sha256:f48d6d0822cb2bec08de949be6edecf5d316c9ee393b517d3c00716ef2f402e5

Observation 0989d395-e0e0-418a-8d02-1860897dd4ab · outbound

This paper cites The Chi- naTelecom Interspeech2024 discrete speech unit asr challenge system description,.

Discrete Speech Unit Extraction via Independent Component Analysis The Chi- naTelecom Interspeech2024 discrete speech unit asr challenge system description,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:02.924294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.575883Z digest=sha256:dde30777bf313039426fcbfa6d0b02b64d1e049fc227c26a62ee61a3b9548f42

Observation f0f5bedf-6ffb-41d5-8e6f-0a36bbc63b6f · outbound

This paper cites Exploration of efficient end-to-end ASR using discretized input from self-supervised learning,.

Discrete Speech Unit Extraction via Independent Component Analysis Exploration of efficient end-to-end ASR using discretized input from self-supervised learning,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:02.906705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.581540Z digest=sha256:5f86fe663e192f4f69f6b05343163e993005a26c14f4a0a891db7f2be2ffd1de

Observation 67da77ab-4f14-4f2a-83b4-a5cca26164d2 · outbound

This paper cites E-Branchformer: Branchformer with enhanced merging for speech recognition,.

Discrete Speech Unit Extraction via Independent Component Analysis E-Branchformer: Branchformer with enhanced merging for speech recognition,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:02.888545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.590529Z digest=sha256:82a2f79bd8c9e226862f64faa2560ea55fbfd2285404b2b8abe581f0c78c6f20

Observation a6096f42-d2e4-4cc7-a91e-7a16607abc6c · outbound

This paper cites Anisotropy is inherent to self-attention in transformers,.

Discrete Speech Unit Extraction via Independent Component Analysis Anisotropy is inherent to self-attention in transformers,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:02.869720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.596182Z digest=sha256:ee8aa5df920e1f7e5f697cbcb4b5d3a588701d9856c7ff1e6087a5913343c170

Observation 59e57b49-3851-41ab-83d9-b5cafb58dc3a · outbound

This paper cites Codec-superb@ slt 2024: A lightweight benchmark for neural audio codec models,.

Discrete Speech Unit Extraction via Independent Component Analysis Codec-superb@ slt 2024: A lightweight benchmark for neural audio codec models,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:02.847244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.601539Z digest=sha256:b52ede0f04dd5b3c16dd5a8e80f188744f54998e9c31697a94947e5635e2642a

Observation 5e54048f-a3b0-415c-aed0-b76f886d2474 · outbound

This paper cites Textless speech-to- speech translation on real data,.

Discrete Speech Unit Extraction via Independent Component Analysis Textless speech-to- speech translation on real data,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:02.827251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.607455Z digest=sha256:177f3f412ade3c01bf80e018add53f76f25e4a3cec7ec2e65050895c29a9f092

Observation a50a861b-6f43-4242-b0b8-9a6e57361647 · outbound

This paper cites All-but-the-top: Simple and effective postpro- cessing for word representations,.

Discrete Speech Unit Extraction via Independent Component Analysis All-but-the-top: Simple and effective postpro- cessing for word representations,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:02.807715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.612290Z digest=sha256:9476890f0c92c919ea9c53f424aa6e5d731b39a6afc482f621f9b5f83e51ed2a

Observation c717632d-33f2-46e1-a2f3-62b58ae74884 · outbound

This paper cites Effective dimensionality reduction for word embeddings,.

Discrete Speech Unit Extraction via Independent Component Analysis Effective dimensionality reduction for word embeddings,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:02.789017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.619949Z digest=sha256:59d98290aba5b8f4982c5714fab968d3040927cbd1e5a5031ac2a03b4a353c67

Observation a18c3db3-b9a9-48e5-be0c-a3d90678e19a · outbound

This paper cites DARPA TIMIT: Acoustic- phonetic continuous speech corpus CD-ROM, NIST speech disc 1-1.1,.

Discrete Speech Unit Extraction via Independent Component Analysis DARPA TIMIT: Acoustic- phonetic continuous speech corpus CD-ROM, NIST speech disc 1-1.1,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:02.769318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.624804Z digest=sha256:fe2e33cbff611acb4aa40299f041916ed8cae985a66f107fa320df0de320b9ff

Observation 3a967ef0-cd7f-44eb-a98f-3940d8c6bff6 · outbound

This paper cites An information-theoretic analysis of self-supervised discrete representations of speech,.

Discrete Speech Unit Extraction via Independent Component Analysis An information-theoretic analysis of self-supervised discrete representations of speech,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:02.752454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.630276Z digest=sha256:cfcd9c0864d33149bc6eaae6ede38939061344c0a10349555c8f22d1faa1b9d5

Observation 6ce35aef-67f0-4ff6-8f9b-a89a0a64bdda · outbound

This paper cites Analysing discrete self supervised speech representation for spoken language modeling,.

Discrete Speech Unit Extraction via Independent Component Analysis Analysing discrete self supervised speech representation for spoken language modeling,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:02.734886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:02:02.635185Z digest=sha256:44bb5b2bfcc33746aa4d5263d523a94790c55e755425bdc156046cb280306fe4

Pith citing papers

Observation 882b1881-ea33-4024-8f84-1f53e32f7341 · inbound

A framework for analyzing concept representations in neural models cites this paper.

A framework for analyzing concept representations in neural models Discrete Speech Unit Extraction via Independent Component Analysis

Reference 177

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:18:59.149801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-09T14:49:22.776209Z digest=sha256:7acfb055f2ec83290551c31d922dc3845205f37743cd383218acfc3ebd706ccd