Paper Citation Record · LEDGER

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder

As of 12 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 3 inbound Pith citation observations for arXiv:2508.20474.

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

pith.paper-citation-record.v1
2508.20474 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T21:20:00.286888Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T18:22:25.235866Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T13:06:59.588978Z

Reference resolution

50 of 50 outbound references displayed

verified exact0
verified fuzzy50
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc1e516e-daf8-414e-affa-3b6d5cbd1200 · outbound

This paper cites A review of speaker diarization: Recent advances with deep learning.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder A review of speaker diarization: Recent advances with deep learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.646257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1abf1080-e2d4-4d74-ab43-8d8e1c77d440 · outbound

This paper cites Encoder-decoder based attractors for end-to-end neural diarization.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder Encoder-decoder based attractors for end-to-end neural diarization

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.639033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a60e7931-d5e1-418e-8b2b-0d2664e07d68 · outbound

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

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder Powerset multi-class cross entropy loss for neural speaker diarization

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.522706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b39f67f9-37f3-4af8-8a4b-384bd4efc6f9 · outbound

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

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder Supervised speech separation based on deep learning: An overview

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.618746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f67f2e83-9d22-4a3e-b71e-2f14b0e089eb · outbound

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

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder Conv-TasNet: Surpassing ideal time–frequency magnitude masking for speech separation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.622467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0c6da9fd-a07e-4e07-82b8-c2fb332aabaa · outbound

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

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder TF-GRIDNET: Making time- frequency domain models great again for monaural speaker separation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.519854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4c02c8ad-f4f3-419d-bdd3-221c81e49f65 · outbound

This paper cites Single-channel multi-talker speech recognition with permutation invariant training.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder Single-channel multi-talker speech recognition with permutation invariant training

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.525725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 45c099f3-3f00-47d2-bc4f-d66815e2e024 · outbound

This paper cites A purely end-to-end system for multi-speaker speech recognition.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder A purely end-to-end system for multi-speaker speech recognition

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.615878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ed1b6dfe-6b36-4689-8d4b-50422846b25a · outbound

This paper cites End-to-end multi-speaker speech recognition with transformer.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder End-to-end multi-speaker speech recognition with transformer

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.528530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c52fda73-b706-4475-84dc-9bfab6b708ac · outbound

This paper cites Serialized output training for end-to-end overlapped speech recognition.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder Serialized output training for end-to-end overlapped speech recognition

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.625527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 722ac973-82dc-4934-a935-e7be7630ad27 · outbound

This paper cites Integration of speech separation, diarization, and recog- nition for multi-speaker meetings: System description, comparison, and analysis.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder Integration of speech separation, diarization, and recog- nition for multi-speaker meetings: System description, comparison, and analysis

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.510118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1ec9cd09-1348-4340-aceb-c9a52307fb26 · outbound

This paper cites Continuous speech separation: Dataset and analysis.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder Continuous speech separation: Dataset and analysis

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.512680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 67da9005-dfa6-4c8b-b8b9-5b543763bf9a · outbound

This paper cites CHiME-6 Challenge: Tackling multispeaker speech recognition for unsegmented recordings.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder CHiME-6 Challenge: Tackling multispeaker speech recognition for unsegmented recordings

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.628622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bc4b6450-3be1-4b7e-8761-49fc6e2debab · outbound

This paper cites Tandem multitask training of speaker diarisation and speech recognition for meeting transcription.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder Tandem multitask training of speaker diarisation and speech recognition for meeting transcription

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.506479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 762a0fee-3104-4434-9b49-a94fb67e76c3 · outbound

This paper cites pyannote.audio 2.1 speaker diarization pipeline: principle, benchmark, and recipe.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder pyannote.audio 2.1 speaker diarization pipeline: principle, benchmark, and recipe

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.515654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation df07468f-a45d-4196-8c01-690fdcf01e29 · outbound

This paper cites TS-SEP: Joint di- arization and separation conditioned on estimated speaker embeddings.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder TS-SEP: Joint di- arization and separation conditioned on estimated speaker embeddings

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.534509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 50689e6e-e261-4bb3-a9b4-77eb36952239 · outbound

This paper cites PixIT: Joint training of speaker diarization and speech separation from real-world multi-speaker recordings.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder PixIT: Joint training of speaker diarization and speech separation from real-world multi-speaker recordings

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.558302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f1bb6545-f1ad-499e-93bd-24ef735f654e · outbound

This paper cites Adapting multi-lingual asr models for handling multiple talkers.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder Adapting multi-lingual asr models for handling multiple talkers

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.595289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 960184b7-bad8-465d-8ef3-12012ca61b0a · outbound

This paper cites Speech recog- nition and multi-speaker diarization of long conversations.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder Speech recog- nition and multi-speaker diarization of long conversations

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.598407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c2e1733f-1936-42c1-bd33-400d120e93d1 · outbound

This paper cites One model to rule them all ? towards end-to-end joint speaker diarization and speech recognition.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder One model to rule them all ? towards end-to-end joint speaker diarization and speech recognition

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.601475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 76cb90c1-5a35-40e0-ba7b-2d067aaae32f · outbound

This paper cites Streaming speaker-attributed ASR with token-level speaker embeddings.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder Streaming speaker-attributed ASR with token-level speaker embeddings

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.607693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 236d8abc-7075-4136-87f8-49b22738ab0d · outbound

This paper cites MIMO-Speech: End-to-end multi-channel multi- speaker speech recognition.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder MIMO-Speech: End-to-end multi-channel multi- speaker speech recognition

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.545023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f8614a95-9226-4d32-9ae6-05d74efd289c · outbound

This paper cites Multi-talker ASR for an unknown number of sources: Joint training of source counting, separation and ASR.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder Multi-talker ASR for an unknown number of sources: Joint training of source counting, separation and ASR

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.547777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cf027948-31a7-4b95-997e-cd92bcc796b3 · outbound

This paper cites All-neural online source separation, counting, and diarization for meeting analysis.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder All-neural online source separation, counting, and diarization for meeting analysis

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.553118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1f10084c-135a-4091-a0c4-fc7efeb7c4ff · outbound

This paper cites Neural blind source separa- tion and diarization for distant speech recognition.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder Neural blind source separa- tion and diarization for distant speech recognition

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.550143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7cab4107-4143-4bef-a3cc-505c4e95f314 · outbound

This paper cites Stcon system for the chime-8 challenge.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder Stcon system for the chime-8 challenge

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.580282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0bb1b868-855a-4ca0-92f0-b9e0733d44bb · outbound

This paper cites BUT/JHU system description for CHiME-8 NOTSOFAR-1 challenge.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder BUT/JHU system description for CHiME-8 NOTSOFAR-1 challenge

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.582915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 606b2f6a-6520-46ee-b716-b15d4e638f9b · outbound

This paper cites The USTC-NERCSLIP systems for the CHiME-8 NOTSOFAR-1 challenge.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder The USTC-NERCSLIP systems for the CHiME-8 NOTSOFAR-1 challenge

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.542070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f7bdd670-a1ac-4663-a1fa-9f2266ec0e9f · outbound

This paper cites NTT multi-speaker asr system for the DASR task of CHiME-8 challenge.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder NTT multi-speaker asr system for the DASR task of CHiME-8 challenge

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.588753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ab504eb1-b0bf-4581-a620-6f8fad373239 · outbound

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

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder wav2vec 2.0: a framework for self-supervised learning of speech representations

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.570585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 343e67f3-df0d-41cb-b46d-05d4a14b0da1 · outbound

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

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder HuBERT: Self-supervised speech representation learning by masked prediction of hidden units

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.560928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4858d18b-79bb-4bdc-964d-49e7c49d7d8c · outbound

This paper cites WavLM: Large-scale self-supervised pre-training for full stack speech processing.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder WavLM: Large-scale self-supervised pre-training for full stack speech processing

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.612811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 20417b24-cf3d-49ab-bbbb-f36cea69aadc · outbound

This paper cites Robust speech recognition via large-scale weak supervision.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder Robust speech recognition via large-scale weak supervision

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.538557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 05ade4e2-ba05-4679-b0c2-5cca8698f5e5 · outbound

This paper cites OWSM-CTC: An open encoder-only speech foundation model for speech recognition, translation, and language identification.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder OWSM-CTC: An open encoder-only speech foundation model for speech recognition, translation, and language identification

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.568408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a4e2f819-fca3-42b5-b06a-7089112f9394 · outbound

This paper cites SUPERB: Speech processing universal performance benchmark.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder SUPERB: Speech processing universal performance benchmark

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.573026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e0559b20-3460-4a95-9f9c-c98b6852082c · outbound

This paper cites OWSM v3.1: Better and faster open whisper-style speech models based on e-branchformer.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder OWSM v3.1: Better and faster open whisper-style speech models based on e-branchformer

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.565979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a776efa8-d7a7-4d1d-ab6e-595abfbe18a7 · outbound

This paper cites LibriMix: An open-source dataset for generalizable speech separation.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder LibriMix: An open-source dataset for generalizable speech separation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.563365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e8d22c95-1384-41b7-9533-7b1c6676ca72 · outbound

This paper cites E-Branchformer: Branchformer with enhanced merging for speech recognition.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder E-Branchformer: Branchformer with enhanced merging for speech recognition

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.592039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1aa5f4f6-74fd-42a4-aafb-56df01fc1f70 · outbound

This paper cites End-to-end training of time domain audio separation and recognition.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder End-to-end training of time domain audio separation and recognition

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.575655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bb4fc01a-c0d9-48fc-92eb-a61912afbfeb · outbound

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

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder The AMI meeting corpus: A pre-announcement

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.531268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 836dae3d-0366-450f-be64-6d9cd2690d65 · outbound

This paper cites The Hitachi-JHU DIHARD III System: Competitive end-to-end neural diarization and x-vector clustering systems combined by dover-lap.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder The Hitachi-JHU DIHARD III System: Competitive end-to-end neural diarization and x-vector clustering systems combined by dover-lap

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.577956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 36842d5e-d6fc-45d0-9273-c58a1a0edbf1 · outbound

This paper cites The rich transcription 2006 spring meeting recognition evaluation.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder The rich transcription 2006 spring meeting recognition evaluation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.585929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a05a1210-cd17-4742-9c24-84c1aa0bf6e8 · outbound

This paper cites A short- time objective intelligibility measure for time-frequency weighted noisy speech.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder A short- time objective intelligibility measure for time-frequency weighted noisy speech

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.610432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f2cf1b82-09e7-42b0-b476-1ec39cfd2ef8 · outbound

This paper cites Performance measurement in blind audio source separation.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder Performance measurement in blind audio source separation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.555861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 14982b27-c6e9-44cc-b12f-ea1681c0252c · outbound

This paper cites Streaming end-to-end multi-talker speech recognition.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder Streaming end-to-end multi-talker speech recognition

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.604338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 680035f5-dd40-42cb-b75e-5581cbbcf8d5 · outbound

This paper cites End-to-end Speaker-Attributed ASR with transformer.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder End-to-end Speaker-Attributed ASR with transformer

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.634012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b2996ebe-c4bb-49ca-8f35-5bd1017e589c · outbound

This paper cites Empowering whisper as a joint multi- talker and target-talker speech recognition system.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder Empowering whisper as a joint multi- talker and target-talker speech recognition system

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.631198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8ad9e094-13de-4499-87bc-facd18ada5c5 · outbound

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

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder ESPnet: End-to-end speech processing toolkit

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.636553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 28581f29-c463-401d-a942-75821bf5a48a · outbound

This paper cites The power of the weighted sum scalarization for approximating multiobjective optimization problems.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder The power of the weighted sum scalarization for approximating multiobjective optimization problems

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.641625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f23eaa7c-20d3-47d0-8c89-3111cd76295b · outbound

This paper cites Joint beam search integrating CTC, attention, and trans- ducer decoders.

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder Joint beam search integrating CTC, attention, and trans- ducer decoders

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T21:21:51.644161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation f5605c3b-0e95-4a0b-9f50-bdb78413ef8a · inbound

Beyond Acoustic Prefixes: Persistent Grounding in Serialized Acoustic Memory for LLM-Based Multi-Talker Speech Recognition cites this paper.

Beyond Acoustic Prefixes: Persistent Grounding in Serialized Acoustic Memory for LLM-Based Multi-Talker Speech Recognition Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-13T17:09:15.281290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8dff840-eb26-4084-ae2e-2bdd1e2ebf5e · inbound

Multi-task Learning is Not Enough: Representational Entanglement in Dual-output Second Language Speech Recognition cites this paper.

Multi-task Learning is Not Enough: Representational Entanglement in Dual-output Second Language Speech Recognition Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T13:06:59.590126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 21835f3a-9d1d-4932-b954-8e1d145f9110 · inbound

Multi-task Learning is Not Enough: Representational Entanglement in Dual-output Second Language Speech Recognition cites this paper.

Multi-task Learning is Not Enough: Representational Entanglement in Dual-output Second Language Speech Recognition Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T18:22:25.235866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.