Paper Citation Record · LEDGER

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings

As of 6 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.15198.

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

pith.paper-citation-record.v1
2607.15198 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T23:55:33.743598Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

39 of 39 outbound references displayed

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verified fuzzy0
unresolved39
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7d322e0-9319-497d-81ee-a9962f84c3b6 · outbound

This paper cites V oiceFilter: Targeted voice separation by speaker-conditioned spectrogram masking,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings V oiceFilter: Targeted voice separation by speaker-conditioned spectrogram masking,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:29.502928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c3cebdd-84e3-4c6b-9d4b-a57ff60b207e · outbound

This paper cites SpEx: Multi-scale time domain speaker extraction network,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings SpEx: Multi-scale time domain speaker extraction network,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:29.612146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85fc6d9a-561e-4aa5-a523-d304745df503 · outbound

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

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings Neural target speech extraction: An overview,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:29.779647Z

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Unavailable: canonical work link unavailable.

Observation 069e1799-3731-4254-ac16-51700c65bbc3 · outbound

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

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings LibriMix: An Open-Source Dataset for Generalizable Speech Separation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:29.954391Z

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Unavailable: canonical work link unavailable.

Observation d4dbae8e-c24d-479f-8f21-e6a2e6dc16fe · outbound

This paper cites Deep clustering: Discriminative embeddings for segmentation and separation,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings Deep clustering: Discriminative embeddings for segmentation and separation,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:30.129251Z

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Unavailable: canonical work link unavailable.

Observation e780a627-4a1c-4fc0-935a-9c112ac0dc33 · outbound

This paper cites The Fifth ’CHiME’ Speech Separation and Recognition Challenge: Dataset, Task and Baselines,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings The Fifth ’CHiME’ Speech Separation and Recognition Challenge: Dataset, Task and Baselines,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:30.341452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bb94c4c-e378-4eaf-9c7a-37dbb1e1ac89 · outbound

This paper cites CHiME-6 Challenge: Tackling Multispeaker Speech Recognition for Unsegmented Recordings,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings CHiME-6 Challenge: Tackling Multispeaker Speech Recognition for Unsegmented Recordings,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:30.475244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59576c93-bbd0-4d1e-9dad-72bec9de4d80 · outbound

This paper cites Descriptor: Enhancing conversations for the hearing impaired in the 9th computational hearing in multisource environments challenge (CHiME9 ECHI),.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings Descriptor: Enhancing conversations for the hearing impaired in the 9th computational hearing in multisource environments challenge (CHiME9 ECHI),

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:30.604031Z

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Unavailable: canonical work link unavailable.

Observation 1653f923-83f4-4bfb-9b6e-048b3eed7de3 · outbound

This paper cites M2MeT: The ICASSP 2022 multi- channel multi-party meeting transcription challenge,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings M2MeT: The ICASSP 2022 multi- channel multi-party meeting transcription challenge,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:30.724559Z

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Unavailable: canonical work link unavailable.

Observation aad57061-785f-4178-8b66-a4eb540f76ca · outbound

This paper cites AISHELL-4: An open source dataset for speech enhancement, separation, recognition and speaker diarization in conference scenario,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings AISHELL-4: An open source dataset for speech enhancement, separation, recognition and speaker diarization in conference scenario,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:30.845696Z

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Unavailable: canonical work link unavailable.

Observation 14798e87-7106-4347-8b4b-b058d496fc40 · outbound

This paper cites REAL-T: Real Conversational Mixtures for Target Speaker Extraction,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings REAL-T: Real Conversational Mixtures for Target Speaker Extraction,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:31.011467Z

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Unavailable: canonical work link unavailable.

Observation 5838dfee-e73c-4258-8624-3ffd9d262e23 · outbound

This paper cites WeSep: A Scalable and Flexible Toolkit Towards Generalizable Target Speaker Extraction,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings WeSep: A Scalable and Flexible Toolkit Towards Generalizable Target Speaker Extraction,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:31.128677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26759e63-6c94-4f0f-bf33-bed2262ca686 · outbound

This paper cites Zipformer: A faster and better encoder for automatic speech recognition,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings Zipformer: A faster and better encoder for automatic speech recognition,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:31.226364Z

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Unavailable: canonical work link unavailable.

Observation 90d1402b-a338-48c0-b415-2c28127159ea · outbound

This paper cites Wespeaker: A research and production oriented speaker embedding learning toolkit,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings Wespeaker: A research and production oriented speaker embedding learning toolkit,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:31.344791Z

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Unavailable: canonical work link unavailable.

Observation 148d4467-1d52-4b80-8500-4b4303b6155f · outbound

This paper cites DNSMOS P.835: A non- intrusive perceptual objective speech quality metric to evaluate noise suppressors,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings DNSMOS P.835: A non- intrusive perceptual objective speech quality metric to evaluate noise suppressors,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:31.412772Z

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Unavailable: canonical work link unavailable.

Observation 07c6eb75-3d97-4018-865b-0455f7c057f2 · outbound

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

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings DNSMOS: A non-intrusive perceptual objective speech quality metric to evaluate noise suppressors,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:31.473472Z

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Unavailable: canonical work link unavailable.

Observation edf25c10-fafb-4aae-80b6-0d6b31659444 · outbound

This paper cites Fireredasr2s: A state-of-the-art industrial-grade all-in-one automatic speech recognition system,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings Fireredasr2s: A state-of-the-art industrial-grade all-in-one automatic speech recognition system,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:31.568792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 190e11fb-b69e-4c25-be4e-a398e20bf34a · outbound

This paper cites Image method for efficiently simulating small-room acoustics,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings Image method for efficiently simulating small-room acoustics,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:31.629281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec0b618d-79ec-40eb-99c0-33c7bd5904a4 · outbound

This paper cites The AMI meeting corpus: A pre-announcement,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings The AMI meeting corpus: A pre-announcement,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:31.721756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5a7209c-cb4b-41d5-ba19-becaf98a87ab · outbound

This paper cites DiPCo – Dinner Party Corpus,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings DiPCo – Dinner Party Corpus,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:31.817101Z

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Unavailable: canonical work link unavailable.

Observation 6065f502-0b4a-4f35-801c-99b2eb9ef931 · outbound

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

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings Music source separation with band-split RNN,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:31.913671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17af6bba-510c-4b10-b23d-70938d9a3a12 · outbound

This paper cites Multi-level speaker representation for target speaker extraction,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings Multi-level speaker representation for target speaker extraction,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:32.004568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc0bd727-ffd1-48f2-8897-587d3aef4348 · outbound

This paper cites ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:32.096524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4092e76c-37dd-40df-b88a-455124d3285a · outbound

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

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings Librispeech: an asr corpus based on public domain audio books,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:32.190697Z

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Unavailable: canonical work link unavailable.

Observation 20688441-8a8b-44e2-a978-56e198c428c2 · outbound

This paper cites V oxceleb: A large-scale speaker identification dataset,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings V oxceleb: A large-scale speaker identification dataset,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:32.252100Z

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Observation 8591ae37-2507-4c98-a3c5-dc4093e07511 · outbound

This paper cites CN-Celeb: A challenging chinese speaker recognition dataset,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings CN-Celeb: A challenging chinese speaker recognition dataset,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:32.349907Z

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Unavailable: canonical work link unavailable.

Observation 281449cd-fde4-4c6a-8744-1b4cf4fe03dc · outbound

This paper cites Aishell-1: An open-source mandarin speech corpus and a speech recognition baseline,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings Aishell-1: An open-source mandarin speech corpus and a speech recognition baseline,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:32.418267Z

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Observation 5e3370d0-0cf2-4a3f-998d-beebee452ebd · outbound

This paper cites CSTR VCTK Corpus: English multi-speaker corpus for CSTR voice cloning toolkit,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings CSTR VCTK Corpus: English multi-speaker corpus for CSTR voice cloning toolkit,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:32.537436Z

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Unavailable: canonical work link unavailable.

Observation e7f828df-2080-4458-898d-42c3b89ca208 · outbound

This paper cites EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:32.603764Z

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Unavailable: canonical work link unavailable.

Observation f5e1aac2-5398-4665-9b9b-a0a8b640fd17 · outbound

This paper cites WHAM!: Extending Speech Separation to Noisy Environments,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings WHAM!: Extending Speech Separation to Noisy Environments,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:32.715991Z

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Unavailable: canonical work link unavailable.

Observation 32ad0a4e-59ca-4768-873c-410ea463340a · outbound

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

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings MUSAN: A Music, Speech, and Noise Corpus

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:32.787563Z

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Unavailable: canonical work link unavailable.

Observation 2dfe1e0c-70d1-4cb5-8c87-40db1153e645 · outbound

This paper cites DEMAND: A collection of multi- channel recordings of acoustic noise in diverse environments,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings DEMAND: A collection of multi- channel recordings of acoustic noise in diverse environments,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:32.883765Z

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Observation b44bb0f2-0330-4562-b049-f13ae9308a81 · outbound

This paper cites The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:32.981307Z

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Observation f32a0238-ee59-47b1-b91a-5f6708b50b08 · outbound

This paper cites Building and evaluation of a real room impulse response dataset,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings Building and evaluation of a real room impulse response dataset,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:33.111260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5935f448-6ff7-48da-adca-efe214816240 · outbound

This paper cites Fast random approximation of multi-channel room impulse response,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings Fast random approximation of multi-channel room impulse response,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:33.229214Z

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Observation 4af715b9-c5e6-480a-8b56-5b562d383461 · outbound

This paper cites TF- GridNet: Integrating full-and sub-band modeling for speech separation,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings TF- GridNet: Integrating full-and sub-band modeling for speech separation,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:33.345978Z

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Observation 1498298a-a1cc-4c8c-93c0-18a4058c2f64 · outbound

This paper cites Notes on the history of correlation,.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings Notes on the history of correlation,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:33.397361Z

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Observation ea63e4ae-e748-4146-87bc-5000313d07cc · outbound

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

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings The proof and measurement of association between two things

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:33.490785Z

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Observation c87d1c48-f2df-4a31-91c3-770a881bd309 · outbound

This paper cites DNSMOS Pro: A reduced-size DNN for probabilistic MOS of speech.

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings DNSMOS Pro: A reduced-size DNN for probabilistic MOS of speech

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:33.743598Z

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Pith citing papers

No inbound Pith citation observations are available.