Paper Citation Record · LEDGER

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models

As of 21 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2505.06660.

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

pith.paper-citation-record.v1
2505.06660 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:40:24.392435Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

verified exact1
verified fuzzy33
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a4a43ac7-760b-44d0-b53b-f966b60038ba · outbound

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

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T22:40:24.204405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9571a37-0c05-4f61-8f23-d6363d555009 · outbound

This paper cites data2vec: A general framework for self-supervised learning in speech, vision and language,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models data2vec: A general framework for self-supervised learning in speech, vision and language,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:25.001821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b0f78935-851b-4a39-814d-84436cb193be · outbound

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

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models HuBERT: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T22:40:24.214457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33a2623f-c867-4d7a-ba00-785354b0ea7d · outbound

This paper cites WavLM: Large-Scale Self-Supervised Pre- Training for Full Stack Speech Processing,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models WavLM: Large-Scale Self-Supervised Pre- Training for Full Stack Speech Processing,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.975926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8290db7c-76d1-45b9-aeda-d4f28245f71e · outbound

This paper cites Parameter-efficient cross-language transfer learning for a language- modular audiovisual speech recognition,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Parameter-efficient cross-language transfer learning for a language- modular audiovisual speech recognition,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.960330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 20e17d71-4f83-41a5-b9e1-d42cd83d24a2 · outbound

This paper cites Large-scale self-supervised speech representation learning for automatic speaker verification,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Large-scale self-supervised speech representation learning for automatic speaker verification,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.945863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 306ce19b-7f7e-4fe2-b6ad-6d10d5ec0452 · outbound

This paper cites An attention-based backend allowing efficient fine-tuning of transformer models for speaker verification,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models An attention-based backend allowing efficient fine-tuning of transformer models for speaker verification,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.931615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9f99a535-9886-49f3-a6ea-9db015941a2e · outbound

This paper cites Exploring WavLM on speech enhancement,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Exploring WavLM on speech enhancement,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.917358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2e75c253-ff9b-4be7-8cf2-0bb9083a76b4 · outbound

This paper cites Boosting self-supervised embeddings for speech enhancement,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Boosting self-supervised embeddings for speech enhancement,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.902247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 26edc68d-4fa6-4c99-8607-a6fe4a773781 · outbound

This paper cites SUPERB: Speech Processing Universal PERformance Benchmark,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models SUPERB: Speech Processing Universal PERformance Benchmark,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.886513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 11d1fed9-038d-4c20-8cac-a79827585a8c · outbound

This paper cites SUPERB- SG: Enhanced speech processing universal PERformance benchmark for semantic and generative capabilities,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models SUPERB- SG: Enhanced speech processing universal PERformance benchmark for semantic and generative capabilities,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.871869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 87432b7d-b762-460e-940d-a06f06588b04 · outbound

This paper cites ML- SUPERB: Multilingual Speech Universal PERformance Benchmark,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models ML- SUPERB: Multilingual Speech Universal PERformance Benchmark,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.857310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 584a7f1f-a16d-4c02-a804-9819e8cd7b1f · outbound

This paper cites Min- isuperb: Lightweight benchmark for self-supervised speech models,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Min- isuperb: Lightweight benchmark for self-supervised speech models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.842398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a07cfdf3-701f-4141-ab37-bfe5cddc43b5 · outbound

This paper cites A V- SUPERB: A multi-task evaluation benchmark for audio-visual represen- tation models,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models A V- SUPERB: A multi-task evaluation benchmark for audio-visual represen- tation models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.827545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5863b24c-52fa-4ae6-90a4-1501091c3c0b · outbound

This paper cites EMO-SUPERB: An In-depth Look at Speech Emotion Recognition.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models EMO-SUPERB: An In-depth Look at Speech Emotion Recognition

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T22:40:24.273702Z

Source-reported events for the cited work

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Observation a505954a-4a3c-445e-a5fd-eb5471b1ff2d · outbound

This paper cites Neural target speech extraction: An overview,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Neural target speech extraction: An overview,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T22:40:24.278655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 398f5d05-8de3-4bd0-89ec-86e8553024d8 · outbound

This paper cites Personalized speech enhancement: New models and comprehensive evaluation,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Personalized speech enhancement: New models and comprehensive evaluation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.803295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1192baa4-bb20-4471-9fad-ba5ef71e46d5 · outbound

This paper cites Investigation of end-to-end speaker-attributed ASR for continuous multi-talker recordings,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Investigation of end-to-end speaker-attributed ASR for continuous multi-talker recordings,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.789620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e7aa850d-1acb-4ff7-ab8b-cdb40d837382 · outbound

This paper cites Personal V AD: Speaker-conditioned voice activity detection,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Personal V AD: Speaker-conditioned voice activity detection,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.774051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 675fc2cf-73ab-4d85-9220-69b14f1eb7cd · outbound

This paper cites Look once to hear: Target speech hearing with noisy examples,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Look once to hear: Target speech hearing with noisy examples,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.759180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 146998ed-4503-48c8-ae8e-43b58919e7f9 · outbound

This paper cites Streaming Target-Speaker ASR with Neural Transducer.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Streaming Target-Speaker ASR with Neural Transducer

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:40:24.452174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5e94ae9e-7a86-4003-ba52-0f1b2aa5016e · outbound

This paper cites Target speech extraction with pre-trained self-supervised learning mod- els,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Target speech extraction with pre-trained self-supervised learning mod- els,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.743535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f5485c06-0134-4767-9267-42a6f9fe8399 · outbound

This paper cites Improving speaker verification with self-pretrained trans- former models,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Improving speaker verification with self-pretrained trans- former models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.714291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2b429272-a3e1-4bce-9d1d-0b87a4ecd360 · outbound

This paper cites Weakly-supervised speech pre-training: A case study on target speech recognition,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Weakly-supervised speech pre-training: A case study on target speech recognition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.700395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d555c8ee-3c8b-4475-add5-a799bf5cc609 · outbound

This paper cites Towards learning a universal non-semantic representation of speech,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Towards learning a universal non-semantic representation of speech,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.686113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6ea2e9d7-439d-4733-9eb4-7659d32409e4 · outbound

This paper cites LeBenchmark: A reproducible framework for assessing self-supervised representation learning from speech,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models LeBenchmark: A reproducible framework for assessing self-supervised representation learning from speech,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.670428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1a6983d9-7974-45d8-a2f7-911c55357345 · outbound

This paper cites LeBench- mark 2.0: A standardized, replicable and enhanced framework for self-supervised representations of French speech,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models LeBench- mark 2.0: A standardized, replicable and enhanced framework for self-supervised representations of French speech,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.655542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 362edf83-b403-48c5-b8a4-a8b295943a57 · outbound

This paper cites HAER: Holis- tic evaluation of audio representations,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models HAER: Holis- tic evaluation of audio representations,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.641072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9d71a648-273a-41a2-97a1-f6310443bfce · outbound

This paper cites XTREME-S: Evaluating cross-lingual speech representations,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models XTREME-S: Evaluating cross-lingual speech representations,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.626432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8a372400-515e-48b2-a9f2-1c653362b07c · outbound

This paper cites Unveiling the linguistic capabilities of a self-supervised speech model through cross- lingual benchmark and layer-wise similarity analysis,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Unveiling the linguistic capabilities of a self-supervised speech model through cross- lingual benchmark and layer-wise similarity analysis,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.611195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9383147d-6d93-4388-b3f0-2e0a897ca058 · outbound

This paper cites Adapting self- supervised models to multi-talker speech recognition using speaker embeddings,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Adapting self- supervised models to multi-talker speech recognition using speaker embeddings,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.728813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8ef09ace-19ae-419c-9c2c-3c6142c2b8d0 · outbound

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

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models LibriMix: An Open-Source Dataset for Generalizable Speech Separation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T22:40:24.353352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7eaec12-e45c-43a3-b108-53cb58797a7d · outbound

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

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models LibriSpeech: An ASR corpus based on public domain audio books,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T22:40:24.358081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69f20a83-1c5e-4535-ab34-0071e6555db8 · outbound

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

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models WHAM!: Extending speech separation to noisy environments,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.585822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2ce168fd-24bc-48b9-9e44-86d9ab45c703 · outbound

This paper cites Continuous speech separation: Dataset and analysis,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Continuous speech separation: Dataset and analysis,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.570910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a73aa9e6-46eb-481a-a6a4-a72a2fd5ed01 · outbound

This paper cites Probing self-supervised learning models with target speech extraction,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Probing self-supervised learning models with target speech extraction,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.556020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 807e7b3d-0129-449e-9502-9372bd976293 · outbound

This paper cites Listen only to me! How well can target speech extraction handle false alarms?.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Listen only to me! How well can target speech extraction handle false alarms?

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.541981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1d37a14c-3ba7-48e0-af82-8051fc4cfbc7 · outbound

This paper cites KenLM: Faster and smaller language model queries,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models KenLM: Faster and smaller language model queries,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.526458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a3b660cb-319f-41d7-b0f8-3c5088f27e33 · outbound

This paper cites Wav2Letter++: A fast open-source speech recognition system,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Wav2Letter++: A fast open-source speech recognition system,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.511762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 92d55267-af6d-4d5b-8a07-6fabe126b3de · outbound

This paper cites Improving speaker discrimination of target speech extraction with time-domain speakerbeam,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models Improving speaker discrimination of target speech extraction with time-domain speakerbeam,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:24.496993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 67ae36e3-a184-4162-82f9-19c940895513 · outbound

This paper cites The proof and measurement of association between two things,.

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models The proof and measurement of association between two things,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T22:40:24.392435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.