Pith. sign in

Paper Citation Record · LEDGER

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

As of 18 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 2026-08-17T06:30:58.91139+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

  • verified exact0
  • verified fuzzy0
  • unresolved39
  • parse uncertain0
  • 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.

source=pdf_text observed=2026-08-01T23:55:29.502928Z digest=sha256:6263289cbe96ebf5930341165ac72897d3a1095c16de03da51ae670c23aba000

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.

source=pdf_text observed=2026-08-01T23:55:29.612146Z digest=sha256:3fb1cae32bd929d77e1d0083b496fe62c8a02f87ef6c91559582aed4e59a27e0

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:29.779647Z digest=sha256:7f62770d0f012b44bbb84959f33c4ea0f4822a467b5d4cddbc67aad2aded7370

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:29.954391Z digest=sha256:257b31ce24376d518d8ba7160fd032efa270c8528e05bc6ed6b76662b3582e5b

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:30.129251Z digest=sha256:195e9ace74872a1d598dac4c070bd5b3592816424b582c503b1cf033ebb8510b

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.

source=pdf_text observed=2026-08-01T23:55:30.341452Z digest=sha256:7577deddb900e646249c90b100e225db60db2f31f9b9e72170b9b153624c671f

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.

source=pdf_text observed=2026-08-01T23:55:30.475244Z digest=sha256:39e967625741131d75c4577581f29f907df6713fc1b30ead529955d332942fe7

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:30.604031Z digest=sha256:b52217c670860e1546afc9e003cb60bfc8e068a97d9ca395a35584ba2448dd48

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:30.724559Z digest=sha256:cfca6e786241f7012208a6002899d9827f6a92e56b74463d1172788f1aa756fb

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:30.845696Z digest=sha256:b2ce304cce550e147a860e6cfc8d0e557427b67f71dc48c0c14cf93cf9db670a

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:31.011467Z digest=sha256:7c0bc4dd10142527801169311e4b9ddeacd6f386d2a989fe96bbb72b2b87f439

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.

source=pdf_text observed=2026-08-01T23:55:31.128677Z digest=sha256:f51a665b8422c3f783e07ab5de30043d3ea6f7833458e2ba1c2d4bb4b14b415c

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:31.226364Z digest=sha256:cf54c976472cbad2d151ef34c68c46490fdca6d14acfa793731d3d4d2241c723

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:31.344791Z digest=sha256:d2dde7254abfc21380030ff5076b7c2b9536a04d252f73c563d74769f3e02616

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:31.412772Z digest=sha256:5a941ab79ac5d813bd5869394ed2f050dc0cbf3898356daea6b3db77d48930ef

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:31.473472Z digest=sha256:b2449db651a0863aae867cb0082d2b4d565545d27b69c42305494a35f1ce7b4e

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.

source=pdf_text observed=2026-08-01T23:55:31.568792Z digest=sha256:6d2272fa6d55b876554b9395dbbe9ccbe479bec1c03fc05043bfe83f31dd11ee

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.

source=pdf_text observed=2026-08-01T23:55:31.629281Z digest=sha256:a49231f0e8925651f5fcc20e1f0392f9cde5c49296f3619c2c9424720e5a3096

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.

source=pdf_text observed=2026-08-01T23:55:31.721756Z digest=sha256:ab95ccb7a73405343d7f761bc47d6691b171bac284fc67e6fe8d9c9cfd5efe3b

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:31.817101Z digest=sha256:615ceb7cd5de9877c53d6bbcd42be4f4b50c6100148b609dbdd5eed56a8e96d5

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.

source=pdf_text observed=2026-08-01T23:55:31.913671Z digest=sha256:3918c09fca05d4b5eff72e72f69fd2eca36647c6ee9e5f6ee43b2e2f27384a8a

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.

source=pdf_text observed=2026-08-01T23:55:32.004568Z digest=sha256:d8f1e49d626e002f21a2df477eb013555bea7523181473cdd0daa9dbe5159f49

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.

source=pdf_text observed=2026-08-01T23:55:32.096524Z digest=sha256:79686f986101957ee252e0ed85b1e8271a71e1bf4b921d490077e7803ffbd07a

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:32.190697Z digest=sha256:28d3fcffce2261e84295b57a6754f92e682dd0e13b450106319e85e43d9ed7ea

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:32.252100Z digest=sha256:81381aa8aa805780a06ccbb80223e2f0f2ca8c84c9f127281f8ed2183d6d4c17

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:32.349907Z digest=sha256:53a49d98faa0118fb74271248645f60b2c780f1d2d6a5eace3de06562fe2d837

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:32.418267Z digest=sha256:968ad16ff6c900298c62daed44ad2fc95b025a50433ab6dc09798e05c8fcafa4

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:32.537436Z digest=sha256:34332b1250338a7d8c5e5faa3af0daec88279785b68ec5611a2ea1a50240f392

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:32.603764Z digest=sha256:d58317b6c437b8424137140abf26232c002dc4c3a1bae48a54a8f657c7f10fe2

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:32.715991Z digest=sha256:c52d15fdc34f3f12882a0d1015ec0653679fa34fab255b4a9f3a945c4276d451

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:32.787563Z digest=sha256:7ae29dedca7c26e7769345ee528f80a697b9edfcea53c207b357e50d0ca86fa9

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:32.883765Z digest=sha256:c844c1841d8d016aa389bf7c8e5df786a7350635690958ca2ad25eea452a4830

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:32.981307Z digest=sha256:2996bcd720fa3b09c12456d4af0d6c7043ddc3d53d4943cbfaf6071fce5ae7c2

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.

source=pdf_text observed=2026-08-01T23:55:33.111260Z digest=sha256:8787dd53a0e41ee0d419ac8d3092e4ed5b7f52684206bd559a332155c288e067

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:33.229214Z digest=sha256:bf5818516658cc52ca8a92f2954fc3cf2134e742b06f6937d8e7bb8f84245aa8

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:33.345978Z digest=sha256:6fef0cddb4fdf8c7a9b8c5fbdc304c54dcc8c496c7f03a43437a4812118795c7

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:33.397361Z digest=sha256:d8ad77f7cc12af10a2e0f87f911fbecbbe07e88fd59a64b7989c4da78570c057

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:33.490785Z digest=sha256:dc1ee0e9131c4f52e689814a49cd644c2578213abf980b1acec10051ed62d9da

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:55:33.743598Z digest=sha256:aa08231050257b31411835b093dc01ec7c7c827182bceca21f88864fee06b2fc

Pith citing papers

No inbound Pith citation observations are available.