Paper Citation Record · LEDGER

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers

As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 2 inbound Pith citation observations for arXiv:2505.16607.

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

pith.paper-citation-record.v1
2505.16607 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:00:29.258049Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:00:24.448079Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:34:19.302217Z

Reference resolution

42 of 42 outbound references displayed

verified exact0
verified fuzzy31
unresolved9
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fbab1a37-1740-4382-98e0-e6b251ec30a9 · outbound

This paper cites an unresolved cited work.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:00:36.775069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b7254c3c-488d-4c8b-a3f0-1405dda55ae0 · outbound

This paper cites Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T15:00:24.448079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 580e4802-322e-4659-bfdb-8f65d740001c · outbound

This paper cites The system architecture is illustrated in Fig.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers The system architecture is illustrated in Fig

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:36.453516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ae563731-4ec3-4837-b1f7-1fd3be5a1383 · outbound

This paper cites Datasets In our research scenario, multiple speakers coexist in a mixed signal, each contributing multiple utterances.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Datasets In our research scenario, multiple speakers coexist in a mixed signal, each contributing multiple utterances

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:00:36.150119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5f36cf49-7045-4fb0-828a-7af1ca3fa1d8 · outbound

This paper cites Besides, an ablation study was conducted Table 2:Evaluation on 2-speaker & 3-speaker dataset.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Besides, an ablation study was conducted Table 2:Evaluation on 2-speaker & 3-speaker dataset

Reference 5

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:00:35.955449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9438d5a7-f8e5-476d-b2d4-34c3b74b0b00 · outbound

This paper cites The system employs an RNN attractor module to estimate the number of sources and detect source ac- tivity, resulting in significant improvements in separation per- formance.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers The system employs an RNN attractor module to estimate the number of sources and detect source ac- tivity, resulting in significant improvements in separation per- formance

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:35.806354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5b9e624b-505f-436f-8eb5-4e3c1e28804b · outbound

This paper cites Vincent, T.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Vincent, T

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:35.622401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6bb44864-208a-47f9-a97d-1becf5a1dbfe · outbound

This paper cites Deep learning for audio signal processing,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Deep learning for audio signal processing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:35.490807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b56d5567-9b41-494b-bd08-1766f6ebc1b5 · outbound

This paper cites An overview of machine learning and other data-based methods for spatial au- dio capture, processing, and reproduction,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers An overview of machine learning and other data-based methods for spatial au- dio capture, processing, and reproduction,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:35.357989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f4a1951a-20d4-43f8-b26f-c110d8cd4784 · outbound

This paper cites Supervised speech separation based on deep learning: An overview,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Supervised speech separation based on deep learning: An overview,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T15:00:25.186758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0fc8161-d7ce-4f97-a67e-1b57cb5ba984 · outbound

This paper cites Conv-tasnet: Surpassing ideal time– frequency magnitude masking for speech separation,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Conv-tasnet: Surpassing ideal time– frequency magnitude masking for speech separation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:35.169008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5e1a1025-effe-445d-a637-2b27118f1084 · outbound

This paper cites Dual-Path RNN: Efficient long sequence modeling for time-domain single-channel speech sepa- ration,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Dual-Path RNN: Efficient long sequence modeling for time-domain single-channel speech sepa- ration,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:00:25.404765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c3a4836-c997-49a6-9115-c756b3ae674d · outbound

This paper cites Permutation invari- ant training of deep models for speaker-independent multi-talker speech separation,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Permutation invari- ant training of deep models for speaker-independent multi-talker speech separation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:34.953585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d9b3b7c6-6b71-4532-aa53-122598a1062a · outbound

This paper cites Multitalker speech separation with utterance-level permutation invariant train- ing of deep recurrent neural networks,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Multitalker speech separation with utterance-level permutation invariant train- ing of deep recurrent neural networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:34.806139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7814764c-25e6-4998-85e8-ed72e1fcdc76 · outbound

This paper cites Attention is all you need in speech separation,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Attention is all you need in speech separation,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:00:25.883371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e491b13-ecfc-445c-96d6-f003ed3437a0 · outbound

This paper cites Dual-path transformer network: Direct context-aware modeling for end-to-end monaural speech separation,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Dual-path transformer network: Direct context-aware modeling for end-to-end monaural speech separation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:34.615974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4081ad1c-2eba-41c7-89fe-d77a3fa3b4d6 · outbound

This paper cites TF-GridNet: Making time-frequency domain models great again for monaural speaker separation,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers TF-GridNet: Making time-frequency domain models great again for monaural speaker separation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:34.410295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8f1d6cc6-b77e-44de-a822-addee69109ad · outbound

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

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers TF-GridNet: Integrating full- and sub-band modeling for speech separation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:34.185511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dbcd0ac4-d557-4120-8c7c-99fd6ac11a77 · outbound

This paper cites Recursive speech separation for unknown number of speak- ers,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Recursive speech separation for unknown number of speak- ers,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:33.937374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f71c6fd3-1d8b-4e3b-a8ec-265305052112 · outbound

This paper cites Listen- ing to each speaker one by one with recurrent selective hearing networks,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Listen- ing to each speaker one by one with recurrent selective hearing networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:33.670488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 96496c79-9217-4492-83d0-1a039773e086 · outbound

This paper cites Deep Clus- tering: Discriminative embeddings for segmentation and separa- tion,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Deep Clus- tering: Discriminative embeddings for segmentation and separa- tion,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:33.425090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e90f6f01-977f-4ddd-9cec-b1bd66a690ec · outbound

This paper cites Low-latency deep clus- tering for speech separation,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Low-latency deep clus- tering for speech separation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:33.206808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c20037d9-059c-4e81-9054-cc164b440e9e · outbound

This paper cites Wavesplit: End-to-end speech separation by speaker clustering,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Wavesplit: End-to-end speech separation by speaker clustering,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T15:00:27.028221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ec4b8ec-1ab0-4b63-bf4d-272ffe9aea19 · outbound

This paper cites Deep attractor network for single-microphone speaker separation,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Deep attractor network for single-microphone speaker separation,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T15:00:27.121484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed98ec93-96d8-4528-b6f9-9c22700daf3b · outbound

This paper cites Speaker-independent speech separation with deep attractor network,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Speaker-independent speech separation with deep attractor network,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:32.948408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5bde063a-d799-4c8b-8a3d-1aac9839f90a · outbound

This paper cites EEND-SS: Joint end-to-end neural speaker diariza- tion and speech separation for flexible number of speakers,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers EEND-SS: Joint end-to-end neural speaker diariza- tion and speech separation for flexible number of speakers,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:32.703627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f6d46933-6b9e-4c91-8346-eefe7da29762 · outbound

This paper cites Speech separation for an unknown number of speakers using transformers with encoder- decoder attractors,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Speech separation for an unknown number of speakers using transformers with encoder- decoder attractors,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:32.488668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a11aa4d3-e921-4898-8086-83edf5fad330 · outbound

This paper cites Boosting unknown-number speaker separation with transformer decoder-based attractor,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Boosting unknown-number speaker separation with transformer decoder-based attractor,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:32.272759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7020bb74-e9a9-401f-921f-ccfa7c3414b7 · outbound

This paper cites Continuous speech separation with recurrent selective at- tention network,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Continuous speech separation with recurrent selective at- tention network,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:31.986823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4499698d-8e50-4de1-b552-ed2ccf4c212f · outbound

This paper cites All-neural beamformer for continuous speech separation,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers All-neural beamformer for continuous speech separation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:31.670241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 24125053-4242-4b0d-b11b-6a7997dca5b3 · outbound

This paper cites Continuous stream- ing multi-talker asr with dual-path transducers,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Continuous stream- ing multi-talker asr with dual-path transducers,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:31.409040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4adb06fa-23eb-4c47-95d1-007b22c559a2 · outbound

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

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Continuous speech separation: Dataset and analysis,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:31.149028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a904bfaf-77e2-4811-9af2-56fd1f90d82e · outbound

This paper cites Dual-path rnn for long recording speech separation,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Dual-path rnn for long recording speech separation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:30.904792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6b891667-317a-4d79-a4ec-86cdd0d6afc8 · outbound

This paper cites FiLM: Visual reasoning with a general conditioning layer,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers FiLM: Visual reasoning with a general conditioning layer,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:30.657408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1cf1b140-71a4-4e3b-ad7e-8a3d08198bbe · outbound

This paper cites End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:00:28.711166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b95f4bf6-f12f-4151-b2f8-47cfd3d8076e · outbound

This paper cites Lib- riSpeech: an ASR corpus based on public domain audio books,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Lib- riSpeech: an ASR corpus based on public domain audio books,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:30.481894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e60c9a80-df23-4d91-af05-454c339a7dca · outbound

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

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers WHAM!: Extending speech separation to noisy environments,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T15:00:28.891113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc8395ab-922e-47b3-bbf4-88804e31a606 · outbound

This paper cites gpuRIR: A python library for room impulse response simulation with gpu accelera- tion,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers gpuRIR: A python library for room impulse response simulation with gpu accelera- tion,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:30.307060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2c9344e0-ff74-4027-bbbc-46a08fc13dfe · outbound

This paper cites ESPnet: End-to-end speech processing toolkit,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers ESPnet: End-to-end speech processing toolkit,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:30.110930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e63995fa-500f-426a-898e-ff9ab9dc0275 · outbound

This paper cites SDR – half-baked or well done?.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers SDR – half-baked or well done?

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:29.835568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dfff03c4-4aef-49a0-a549-f1a739e6d747 · outbound

This paper cites The rich tran- scription 2006 spring meeting recognition evaluation,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers The rich tran- scription 2006 spring meeting recognition evaluation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:29.616065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8d2f2f66-e2f0-428c-a30d-1f2f2c0aa466 · outbound

This paper cites Speaker counting and sep- aration from single-channel noisy mixtures,.

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers Speaker counting and sep- aration from single-channel noisy mixtures,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:29.461772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation b7254c3c-488d-4c8b-a3f0-1405dda55ae0 · inbound