Paper Citation Record · LEDGER

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge

As of 9 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 2 inbound Pith citation observations for arXiv:2505.22013.

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

pith.paper-citation-record.v1
2505.22013 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:23:29.940770Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:23:25.953421Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:23:30.843654Z

Reference resolution

37 of 37 outbound references displayed

verified exact4
verified fuzzy18
unresolved14
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7a9abf0c-82c5-467c-a34d-9e2dc0ab8ac6 · outbound

This paper cites This challenge provides an open- source, state-of-the-art, large-scale multimodal meeting dataset that encompasses meetings of various sizes and rich topic transitions[2].

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge This challenge provides an open- source, state-of-the-art, large-scale multimodal meeting dataset that encompasses meetings of various sizes and rich topic transitions[2]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:35.169897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ed463cfe-7b48-425e-97aa-9502d6e0b59e · outbound

This paper cites Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:23:30.944096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 536a7f56-bd20-4fa6-9546-ef70a21ebdeb · outbound

This paper cites an unresolved cited work.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:23:34.996356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3449c00d-321a-4101-8c55-35c9476f0665 · outbound

This paper cites Experimental Setup For the end-to-end segmentation method, the clustering thresh- old was set to 0.65.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Experimental Setup For the end-to-end segmentation method, the clustering thresh- old was set to 0.65

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T13:23:34.856495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 91844860-1edc-4085-ac88-3e312ab9604e · outbound

This paper cites For the diarization task, we combined traditional multi-module methods with a WavLM-based end- to-end segmentation model.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge For the diarization task, we combined traditional multi-module methods with a WavLM-based end- to-end segmentation model

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:34.657544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 68c7e0e7-a9bf-4d9f-9ab5-b4be08a457fc · outbound

This paper cites an unresolved cited work.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:23:34.500101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 02c18a0e-adb3-4d68-9574-028150db69db · outbound

This paper cites The Multimodal Information Based Speech Processing (MISP) 2025 Challenge: Audio-Visual Diarization and Recognition.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge The Multimodal Information Based Speech Processing (MISP) 2025 Challenge: Audio-Visual Diarization and Recognition

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:26.572189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5302877b-d639-4182-8b72-4c7adef1aa51 · outbound

This paper cites MISP-Meeting: A real-world dataset with multimodal cues for long-form meeting transcription and summarization,.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge MISP-Meeting: A real-world dataset with multimodal cues for long-form meeting transcription and summarization,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:34.334745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f69939fe-744b-43ae-9fef-4898a580d4fa · outbound

This paper cites Multi-stage diarization refinement for the chime-7 dasr scenario,.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Multi-stage diarization refinement for the chime-7 dasr scenario,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:34.159449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 973149e0-abda-4ee3-8290-c81eb8d70a74 · outbound

This paper cites NTT Multi-Speaker ASR System for the DASR Task of CHiME-8 Challenge.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge NTT Multi-Speaker ASR System for the DASR Task of CHiME-8 Challenge

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:26.979307Z

Source-reported events for the cited work

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Observation 590e165e-9a8f-4b89-9f89-04fc5fc412ee · outbound

This paper cites The whu- alibaba audio-visual speaker diarization system for the misp 2022 challenge,.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge The whu- alibaba audio-visual speaker diarization system for the misp 2022 challenge,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:33.932336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 91b8a53f-4193-4fd7-8885-07251c7e07e2 · outbound

This paper cites Multi-speaker end-to-end multi-modal speaker diarization system for the misp 2022 chal- lenge,.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Multi-speaker end-to-end multi-modal speaker diarization system for the misp 2022 chal- lenge,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:33.703589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d9e5a788-53a8-4ce5-bfa2-58f5f5d46f39 · outbound

This paper cites The mul- timodal information based speech processing (misp) 2022 chal- lenge: Audio-visual diarization and recognition,.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge The mul- timodal information based speech processing (misp) 2022 chal- lenge: Audio-visual diarization and recognition,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:33.538173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 07d1ec16-ce9a-4332-a5a3-4193fea2c03d · outbound

This paper cites The FlySpeech Audio-Visual Speaker Diarization System for MISP Challenge 2022.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge The FlySpeech Audio-Visual Speaker Diarization System for MISP Challenge 2022

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:23:30.685369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6870c7e2-d81d-4ab7-9e90-6856fce43414 · outbound

This paper cites Ntt speaker diarization system for chime-7: multi-domain, multi-microphone end-to-end and vector clustering diarization,.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Ntt speaker diarization system for chime-7: multi-domain, multi-microphone end-to-end and vector clustering diarization,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:33.269339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 74e44bcb-a6ea-4746-a7c6-851509f43313 · outbound

This paper cites The fosafer system for the icassp2024 in-car multi-channel automatic speech recognition challenge,.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge The fosafer system for the icassp2024 in-car multi-channel automatic speech recognition challenge,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:32.960814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1dde31ec-7d47-4e3d-a560-aa9f538fbda4 · outbound

This paper cites Leveraging Self-Supervised Learning for Speaker Diarization.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Leveraging Self-Supervised Learning for Speaker Diarization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:27.854046Z

Source-reported events for the cited work

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Observation 05a7e0b0-a2cb-4a29-8d90-a07eaf33c2da · outbound

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

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Powerset multi-class cross entropy loss for neural speaker diarization,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:32.689249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d8fbaa23-7e6e-45c9-ac3d-bfb692c01819 · outbound

This paper cites MP-SENet: A speech enhance- ment model with parallel denoising of magnitude and phase spec- tra,.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge MP-SENet: A speech enhance- ment model with parallel denoising of magnitude and phase spec- tra,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:32.477931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7d32b33f-236f-40ad-83e0-1cecf05e7bad · outbound

This paper cites Simam: A sim- ple, parameter-free attention module for convolutional neural networks,.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Simam: A sim- ple, parameter-free attention module for convolutional neural networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:32.349174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6c1c6b3a-64d5-4204-ac26-2d64774e8d3e · outbound

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

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Wespeaker: A research and production oriented speaker embedding learning toolkit,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:32.200685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cccaec59-4f4d-4f1f-8e6f-ffb416ead240 · outbound

This paper cites Bayesian hmm clustering of x-vector sequences (vbx) in speaker diarization: the- ory, implementation and analysis on standard tasks,.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Bayesian hmm clustering of x-vector sequences (vbx) in speaker diarization: the- ory, implementation and analysis on standard tasks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:32.099563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 67e04f08-3f3b-4044-9d6f-485600b08c63 · outbound

This paper cites Dover-lap: A method for com- bining overlap-aware diarization outputs,.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Dover-lap: A method for com- bining overlap-aware diarization outputs,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:31.973817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d7a9dbc3-1aad-490b-b631-19fc0f284b2d · outbound

This paper cites GPU-accelerated Guided Source Separation for Meeting Transcription.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge GPU-accelerated Guided Source Separation for Meeting Transcription

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:28.662837Z

Source-reported events for the cited work

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Observation 3ecfc636-661f-419d-b177-d1ec1a584ee1 · outbound

This paper cites An audio-quality-based multi-strategy approach for target speaker extraction in the MISP 2023 Challenge.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge An audio-quality-based multi-strategy approach for target speaker extraction in the MISP 2023 Challenge

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:23:30.445518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ba615680-2ab2-4cdb-80ce-c3af288fa474 · outbound

This paper cites The fos- afer system for the chime-8 mmcsg challenge,.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge The fos- afer system for the chime-8 mmcsg challenge,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:28.834254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 842d1754-2ec9-41a0-93ff-eaaa670087a5 · outbound

This paper cites Enhanced asr for stuttering speech: Combining adversarial and signal-based data augmentation,.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Enhanced asr for stuttering speech: Combining adversarial and signal-based data augmentation,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:28.950134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e718df9-ba6d-4527-8119-c4b9e747e681 · outbound

This paper cites Reducing the Gap Between Pretrained Speech Enhancement and Recognition Models Using a Real Speech-Trained Bridging Module.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Reducing the Gap Between Pretrained Speech Enhancement and Recognition Models Using a Real Speech-Trained Bridging Module

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:23:30.228113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 336a417b-ea1e-48ad-b4f7-bbd5bd58078b · outbound

This paper cites Mossformer2: Com- bining transformer and rnn-free recurrent network for enhanced time-domain monaural speech separation,.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Mossformer2: Com- bining transformer and rnn-free recurrent network for enhanced time-domain monaural speech separation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:31.760323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 34e5e73c-0760-42c1-9137-53e2a9b20fc7 · outbound

This paper cites Noise robust speech emotion recognition with signal-to-noise ratio adapting speech enhancement.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Noise robust speech emotion recognition with signal-to-noise ratio adapting speech enhancement

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:29.266135Z

Source-reported events for the cited work

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Observation 24628086-a7cd-4cb3-a4d3-3f358013bae8 · outbound

This paper cites Attentive Statistics Pooling for Deep Speaker Embedding.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Attentive Statistics Pooling for Deep Speaker Embedding

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:29.338784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10ea403f-15be-43b6-9818-c1ba7f43475f · outbound

This paper cites Integrating self-supervised pre-training with adversarial learning for synthe- sized song detection,.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Integrating self-supervised pre-training with adversarial learning for synthe- sized song detection,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:31.451027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5e9b4a6c-006d-4db9-9223-3dc2e28b1b74 · outbound

This paper cites Pyroomacoustics: A python package for audio room simulation and array processing algorithms,.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Pyroomacoustics: A python package for audio room simulation and array processing algorithms,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:29.547277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 013dbd25-e97e-496d-9470-0bf77c1f6be4 · outbound

This paper cites VoxCeleb2: Deep Speaker Recognition.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge VoxCeleb2: Deep Speaker Recognition

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:29.667033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fa2184b-201e-41e5-a057-78f648ed1c48 · outbound

This paper cites Paraformer: Fast and Accurate Parallel Transformer for Non-autoregressive End-to-End Speech Recognition.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Paraformer: Fast and Accurate Parallel Transformer for Non-autoregressive End-to-End Speech Recognition

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:29.774239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ac13fed-1299-46fa-a53d-02f32b1fa3bd · outbound

This paper cites FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMs.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMs

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:29.874646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f41979e-9761-4cce-89d9-3656e1fd9794 · outbound

This paper cites A post-processing system to yield reduced word er- ror rates: Recognizer output voting error reduction (rover),.

Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge A post-processing system to yield reduced word er- ror rates: Recognizer output voting error reduction (rover),

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:31.187702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation ed463cfe-7b48-425e-97aa-9502d6e0b59e · inbound