Paper Citation Record · LEDGER

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition

As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 3 inbound Pith citation observations for arXiv:2505.23036.

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

pith.paper-citation-record.v1
2505.23036 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:02:18.872390Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:02:16.624199Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T20:16:12.215607Z

Reference resolution

23 of 23 outbound references displayed

verified exact2
verified fuzzy14
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 82167eed-5ce5-472e-aeae-17954c426521 · outbound

This paper cites AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition.

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:16.624199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b577577-a875-4da2-83b8-c403f77b794d · outbound

This paper cites Additionally, each speaker wears a high-fidelity micro- phone to collect near-field audio for data annotation.

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition Additionally, each speaker wears a high-fidelity micro- phone to collect near-field audio for data annotation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:22.127061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 092e6d19-67cf-4e4a-ae30-8bb63c608deb · outbound

This paper cites The baseline system con- sists of two primary sub-modules: speech frontend processing and automatic speech recognition (ASR).

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition The baseline system con- sists of two primary sub-modules: speech frontend processing and automatic speech recognition (ASR)

Reference 3

Resolution: verified exact; raw_fallback, observed 2026-08-07T13:02:19.424949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 29325b22-6c87-408e-a481-0237d1e00ea6 · outbound

This paper cites AISHELL-5 is suitable for speech sep- aration, speech enhancement, noise reduction, and automatic speech recognition (ASR) tasks targeting in-car scenarios.

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition AISHELL-5 is suitable for speech sep- aration, speech enhancement, noise reduction, and automatic speech recognition (ASR) tasks targeting in-car scenarios

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:21.902935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 215e0546-d753-4933-98c7-10ae35ed5646 · outbound

This paper cites AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario.

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:17.150613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73542d1e-0c1d-495d-8ae7-107114fd649a · outbound

This paper cites M2met: The icassp 2022 multi- channel multi-party meeting transcription challenge,.

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition M2met: The icassp 2022 multi- channel multi-party meeting transcription challenge,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:21.704655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fdbc0bb6-2d51-466e-966c-b009ac9d16e8 · outbound

This paper cites LibriMix: An Open-Source Dataset for Generalizable Speech Separation.

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition LibriMix: An Open-Source Dataset for Generalizable Speech Separation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:17.367614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dd913d0-0488-4074-ab2b-fd349777bd9c · outbound

This paper cites Lib- rispeech: An asr corpus based on public domain audio books,.

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition Lib- rispeech: An asr corpus based on public domain audio books,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:21.515267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2515089f-8a20-49ae-8e71-4c40962c3d9b · outbound

This paper cites WHAM!: Extending Speech Separation to Noisy Environments.

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition WHAM!: Extending Speech Separation to Noisy Environments

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:17.550805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e14967a-12b0-46c7-9d39-4702c26907e3 · outbound

This paper cites Realistic multi-microphone data simulation for distant speech recognition.

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition Realistic multi-microphone data simulation for distant speech recognition

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:02:19.163511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8e8375a5-61d5-4daa-99a2-cb8c4cc3ae75 · outbound

This paper cites Effective noise-aware data simulation for domain- adaptive speech enhancement leveraging dynamic stochastic per- turbation,.

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition Effective noise-aware data simulation for domain- adaptive speech enhancement leveraging dynamic stochastic per- turbation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:21.290358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c02e67da-65bf-4d3b-8147-7c502bf516d6 · outbound

This paper cites The iscslp 2022 intelligent cock- pit speech recognition challenge (icsrc): Dataset, tracks, baseline and results,.

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition The iscslp 2022 intelligent cock- pit speech recognition challenge (icsrc): Dataset, tracks, baseline and results,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:21.088237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 87077904-6367-4ef6-a4d3-c31f08a9eca2 · outbound

This paper cites ICMC-ASR: the ICASSP 2024 in-car multi- channel automatic speech recognition challenge,.

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition ICMC-ASR: the ICASSP 2024 in-car multi- channel automatic speech recognition challenge,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:20.912275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation deb3863a-1491-4473-8536-1231dd394702 · outbound

This paper cites Paraformer: Fast and accurate parallel transformer for non-autoregressive end-to- end speech recognition,.

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition Paraformer: Fast and accurate parallel transformer for non-autoregressive end-to- end speech recognition,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:20.702220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dadd2573-9f62-4dde-a78a-ede398f3adcd · outbound

This paper cites Robust speech recognition via large-scale weak su- pervision,.

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition Robust speech recognition via large-scale weak su- pervision,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:18.145296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a7c6960-92a5-4066-8d93-2bae2534e090 · outbound

This paper cites Funaudiollm: V oice understanding and genera- tion foundation models for natural interaction between humans and llms,.

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition Funaudiollm: V oice understanding and genera- tion foundation models for natural interaction between humans and llms,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:20.480466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2a3172ab-101e-4eb6-9e0a-678652c7d356 · outbound

This paper cites Qwen2-Audio Technical Report.

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition Qwen2-Audio Technical Report

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:18.317706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 505e2d5a-11b0-425f-bf6f-34df8a30cbe2 · outbound

This paper cites Independent vector analysis: An extension of ICA to multivariate components,.

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition Independent vector analysis: An extension of ICA to multivariate components,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:20.286774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5266abc5-53db-4c43-9d78-01adbb1219d4 · outbound

This paper cites Speech-transformer: A no- recurrence sequence-to-sequence model for speech recognition,.

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition Speech-transformer: A no- recurrence sequence-to-sequence model for speech recognition,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:20.099104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b8b9093b-ee04-4e8a-9631-764aaaf18080 · outbound

This paper cites Conformer: Convolution-augmented transformer for speech recognition,.

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition Conformer: Convolution-augmented transformer for speech recognition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:19.899652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ab1b22a2-46a8-4292-8e56-14defc652284 · outbound

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

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition E-branchformer: Branchformer with enhanced merging for speech recognition,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:18.680982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94ba7574-8dae-473b-9b36-3bbadbb79530 · outbound

This paper cites Zipformer: A faster and better encoder for automatic speech recognition,.

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition Zipformer: A faster and better encoder for automatic speech recognition,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:19.744441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fc122efd-28ac-4654-8fb2-88e3a8986677 · outbound

This paper cites Wenet: Production oriented stream- ing and non-streaming end-to-end speech recognition toolkit,.

AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition Wenet: Production oriented stream- ing and non-streaming end-to-end speech recognition toolkit,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:19.589643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation 82167eed-5ce5-472e-aeae-17954c426521 · inbound