Paper Citation Record · LEDGER

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering

As of 19 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2506.16228.

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

pith.paper-citation-record.v1
2506.16228 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:48:57.578168Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:48:53.524262Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:48:58.623961Z

Reference resolution

41 of 41 outbound references displayed

verified exact5
verified fuzzy31
unresolved4
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c50fd7b1-431c-4037-a862-1af55aee487a · outbound

This paper cites Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:48:58.699051Z

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Observation 7d7108ab-2289-483d-8df2-40ed933c7877 · outbound

This paper cites prototype.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering prototype

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:06.456697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d3d27198-8da6-49cf-b83c-1ed4ddbbd9a9 · outbound

This paper cites semi- static.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering semi- static

Reference 3

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T23:49:06.162840Z

Source-reported events for the cited work

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Observation d96b8d6f-0566-43f9-b7b9-a8b0e19dfd64 · outbound

This paper cites The proposed model can be de- ployed in compact and distributed microphone setups without large performance differences and with only minimal parame- ter changes.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering The proposed model can be de- ployed in compact and distributed microphone setups without large performance differences and with only minimal parame- ter changes

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:05.999748Z

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Observation 2c0151ab-7522-4a7c-998c-d1849aa23cf5 · outbound

This paper cites an unresolved cited work.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:49:05.843688Z

Source-reported events for the cited work

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Observation 7d010e11-cf76-4f87-b6f5-0111fb983149 · outbound

This paper cites A DOA based speaker diarization system for real meetings,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering A DOA based speaker diarization system for real meetings,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:05.689303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eba7fb6f-9313-4e4e-a0d4-ea820fc764df · outbound

This paper cites X-vectors: Robust DNN embeddings for speaker recogni- tion,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering X-vectors: Robust DNN embeddings for speaker recogni- tion,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:05.582338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 792b3bf8-bffd-4c5d-8be5-d5f8188941b9 · outbound

This paper cites Encoder-decoder based attractors for end-to-end neural diariza- tion,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Encoder-decoder based attractors for end-to-end neural diariza- tion,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:54.313655Z

Source-reported events for the cited work

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Observation 902f02c0-5f9a-4ed9-a2b2-ae94d1c72877 · outbound

This paper cites Target-speaker voice activity detection: A novel approach for multi-speaker diarization in a dinner party sce- nario,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Target-speaker voice activity detection: A novel approach for multi-speaker diarization in a dinner party sce- nario,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:05.402367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 23a01ba3-ea2d-4bbc-9797-d4a531292f1d · outbound

This paper cites Powerset multi-class cross entropy loss for neural speaker diarization,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Powerset multi-class cross entropy loss for neural speaker diarization,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:05.163507Z

Source-reported events for the cited work

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Observation 0737a68e-efc7-4377-93d7-ae51c9c27a69 · outbound

This paper cites An overview of automatic speaker diarization systems,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering An overview of automatic speaker diarization systems,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:04.935827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bb00531e-cad2-4648-9f97-9f62a50c20a3 · outbound

This paper cites Deep Speaker: an End-to-End Neural Speaker Embedding System.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Deep Speaker: an End-to-End Neural Speaker Embedding System

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:54.737392Z

Source-reported events for the cited work

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Observation dd100453-1a54-4400-a333-16ec059aa93d · outbound

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

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering ECAPA- TDNN: Emphasized Channel Attention, Propagation and Aggre- gation in TDNN Based Speaker Verification,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:04.616981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 42bf02a5-42e8-47b1-acf1-011be6ffebab · outbound

This paper cites Acoustic beamform- ing for speaker diarization of meetings,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Acoustic beamform- ing for speaker diarization of meetings,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:04.313437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 64b20341-bf7e-4a1f-b5dc-53e9b1bd2b2b · outbound

This paper cites Probabilistic speaker diarization with bag-of-words representa- tions of speaker angle information,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Probabilistic speaker diarization with bag-of-words representa- tions of speaker angle information,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:04.025583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 10c6b030-c2a8-42cc-9bcc-c0a8b63e45d5 · outbound

This paper cites Modeling audio directional statistics using a probabilistic spatial dictionary for speaker diarization in real meetings,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Modeling audio directional statistics using a probabilistic spatial dictionary for speaker diarization in real meetings,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:03.698077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 346a0d3c-34cc-498b-b5a5-439bf39c6d34 · outbound

This paper cites Spatial-aware speaker diarization for multi-channel multi-party meeting,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Spatial-aware speaker diarization for multi-channel multi-party meeting,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:03.474875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation da5cb1ce-34c6-48ee-a12f-ce92781e7868 · outbound

This paper cites Spatial diarization for meeting transcription with ad-hoc acoustic sensor networks,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Spatial diarization for meeting transcription with ad-hoc acoustic sensor networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:03.239274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8ba02753-879b-4a90-a202-2906fabd9139 · outbound

This paper cites Libri- W ASN: A data set for meeting separation, diarization, and recog- nition with asynchronous recording devices,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Libri- W ASN: A data set for meeting separation, diarization, and recog- nition with asynchronous recording devices,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:03.008013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b32b4d07-d78a-417e-98ec-a1a4fbbf8b19 · outbound

This paper cites Multi-channel conversational speaker separation via neural diarization,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Multi-channel conversational speaker separation via neural diarization,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:02.810292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 540b6d19-bd00-4375-9a26-c6d1b4ad713a · outbound

This paper cites Incorporating Spatial Cues in Modular Speaker Diarization for Multi-channel Multi-party Meetings.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Incorporating Spatial Cues in Modular Speaker Diarization for Multi-channel Multi-party Meetings

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:48:58.472001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1d374b43-c727-4a69-a1a3-d05c7afcace6 · outbound

This paper cites Multi-channel speaker diarization using spatial features for meetings,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Multi-channel speaker diarization using spatial features for meetings,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:02.524306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b5017a1-e64d-48d3-97d2-91aae32dc387 · outbound

This paper cites Summary of the NOTSOFAR-1 Challenge: Highlights and Learnings.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Summary of the NOTSOFAR-1 Challenge: Highlights and Learnings

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:48:58.204490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f942a273-27cd-43be-bff7-360aac4e7cd5 · outbound

This paper cites Simultaneous Diarization and Separation of Meetings through the Integration of Statistical Mixture Models.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Simultaneous Diarization and Separation of Meetings through the Integration of Statistical Mixture Models

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:48:57.984228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b645358-da65-420d-b139-5c88c6c3a559 · outbound

This paper cites The generalized correlation method for estimation of time delay,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering The generalized correlation method for estimation of time delay,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:56.217345Z

Source-reported events for the cited work

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Observation dde35478-5a6b-4523-906d-f0d80cc1498b · outbound

This paper cites Disambiguation of TDOA estimation for multiple sources in reverberant environments,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Disambiguation of TDOA estimation for multiple sources in reverberant environments,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:02.266429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aef4f43b-43c0-4f2a-b910-3fe3abd6ab73 · outbound

This paper cites On the approximate W-disjoint or- thogonality of speech,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering On the approximate W-disjoint or- thogonality of speech,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:01.951627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation db8b5fc4-bfd0-4661-b8ed-3c086ddee999 · outbound

This paper cites On optimal frequency- domain multichannel linear filtering for noise reduction,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering On optimal frequency- domain multichannel linear filtering for noise reduction,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:01.628272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 08576d26-a9c8-4ae0-80fd-fa2402b84826 · outbound

This paper cites Multiple sound source counting and localization based on tf-wise spatial spectrum clus- tering,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Multiple sound source counting and localization based on tf-wise spatial spectrum clus- tering,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:01.387138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 817c2915-cd89-4a64-b53c-cfb17397349d · outbound

This paper cites Correlation matrix distance, a meaningful measure for evaluation of non- stationary mimo channels,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Correlation matrix distance, a meaningful measure for evaluation of non- stationary mimo channels,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:01.123083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7dfdf710-69bf-4ac8-98db-fbf4314c312e · outbound

This paper cites Once more diarization: Improving meeting transcription systems through segment-level speaker reassignment,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Once more diarization: Improving meeting transcription systems through segment-level speaker reassignment,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:00.984146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fce176f8-3b46-4b76-bfcd-34dcb2c143e9 · outbound

This paper cites Hi- erarchical density estimates for data clustering, visualization, and outlier detection,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Hi- erarchical density estimates for data clustering, visualization, and outlier detection,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:00.793076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 09f01665-6817-4b83-ae69-9ebadd9a9a79 · outbound

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

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Continuous speech separation: Dataset and analysis,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:00.515847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8cb8403f-2177-483e-aad4-01b9f9afd87d · outbound

This paper cites ESPnet2 pretrained model, Shinji Watan- abe/librispe ech asr train asr transformer e18 raw bpe sp valid .acc.best, fs=16k, lang=en,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering ESPnet2 pretrained model, Shinji Watan- abe/librispe ech asr train asr transformer e18 raw bpe sp valid .acc.best, fs=16k, lang=en,

Reference 34

Resolution: verified exact; doi, observed 2026-08-06T23:48:57.786914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2bbbf526-950c-416c-bfc3-bf4364a155b4 · outbound

This paper cites Front-end processing for the CHiME-5 dinner party scenario,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Front-end processing for the CHiME-5 dinner party scenario,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:00.231942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 12bbcb0d-d34f-475d-a6d5-ecb517755fe2 · outbound

This paper cites NIST 2021 speaker recognition evaluation plan,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering NIST 2021 speaker recognition evaluation plan,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:00.043637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 420c83cc-84da-4cac-8bbe-93a1d19499a5 · outbound

This paper cites MeetEval: A toolkit for computation of word error rates for meeting transcription systems,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering MeetEval: A toolkit for computation of word error rates for meeting transcription systems,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:59.831206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 35848c86-141f-4323-a4e6-8f87f67de71b · outbound

This paper cites Multi-class spectral clus- tering with overlaps for speaker diarization,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Multi-class spectral clus- tering with overlaps for speaker diarization,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:59.571150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0d272e28-1653-401b-b23e-0df166935bb3 · outbound

This paper cites Geodesic interpolation of frame-wise speaker embeddings for the diarization of meeting scenarios,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering Geodesic interpolation of frame-wise speaker embeddings for the diarization of meeting scenarios,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:59.285753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5abd4675-04af-4e7b-b132-71dff0945dfd · outbound

This paper cites GPU-accelerated guided source separation for meeting transcription,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering GPU-accelerated guided source separation for meeting transcription,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:59.082759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 10c6cda9-9df0-401e-b8c2-80c3bd8d59a5 · outbound

This paper cites V oxceleb: Large-scale speaker verification in the wild,.

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering V oxceleb: Large-scale speaker verification in the wild,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:58.869957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation c50fd7b1-431c-4037-a862-1af55aee487a · inbound