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Paper Citation Record · LEDGER

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis

As of 14 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2606.22022.

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2606.22022 v1

Coverage vector

measured 38 of 38 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-06-26T11:43:27.916617Z

measured 39 of 39 standing notices

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T11:43:27.916617Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T08:29:41.244571Z

Reference resolution

38 of 38 outbound references displayed

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Outbound references

Observation de0caa8a-1b69-4cc2-aef2-f4fa9b7dc588 · outbound

This paper cites Mandarin presents unique challenges for MDD due to its tightly in- tegrated segmental–tonal phonological system and rich con- trastive phoneme inventory [1, 2].

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Mandarin presents unique challenges for MDD due to its tightly in- tegrated segmental–tonal phonological system and rich con- trastive phoneme inventory [1, 2]

Reference 1

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Observation a1c2d3e4-cdb6-47b7-8a6a-46c765f02da0 · outbound

This paper cites Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis

Reference 2

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local_arxiv, observed 2026-07-04T08:29:41.245984Z

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Observation 2b6ee71c-bae6-4a55-8d2a-98823e22276e · outbound

This paper cites Data This study uses three Mandarin speech corpora with distinct roles.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Data This study uses three Mandarin speech corpora with distinct roles

Reference 3

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Observation 6e4fff1a-83b9-41cf-92a7-d3dc8cfa8332 · outbound

This paper cites PER is reported for phoneme-level systems.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis PER is reported for phoneme-level systems

Reference 4

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arxiv_id, observed 2026-07-04T08:29:41.248746Z

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Observation ae0c5015-d456-4ca6-b561-45cb4c53ad36 · outbound

This paper cites The proposed approach enables detailed analysis of pronunciation errors by identifying the articulatory components involved in their production.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis The proposed approach enables detailed analysis of pronunciation errors by identifying the articulatory components involved in their production

Reference 5

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Observation ef6f1578-a54f-48b9-baa4-d9a7178aaf78 · outbound

This paper cites an unresolved cited work.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Unresolved cited work

Reference 6

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Observation 8fa223d8-bdfe-4593-9a01-943ab9b52490 · outbound

This paper cites All scientific content was developed and verified solely by the authors.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis All scientific content was developed and verified solely by the authors

Reference 7

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Observation 86030c2f-ff2a-4f7d-bdfa-a8ee1537d1b4 · outbound

This paper cites Detection of mispronunciation in non- native speech using acoustic model and convolutional recurrent neural networks,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Detection of mispronunciation in non- native speech using acoustic model and convolutional recurrent neural networks,

Reference 8

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Observation 90f489bf-0197-472d-a4ec-0449f22eae06 · outbound

This paper cites chuan Cheng,A Synchronic Phonology of Mandarin Chinese, ser.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis chuan Cheng,A Synchronic Phonology of Mandarin Chinese, ser

Reference 9

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Observation 634fb784-a146-434e-8c74-3a23bd6daf8e · outbound

This paper cites A mandarin l2 learn- ing app with mispronunciation detection and feedback,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis A mandarin l2 learn- ing app with mispronunciation detection and feedback,

Reference 10

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Observation 8657e9fb-362f-4611-bd51-ef2026a7c9a3 · outbound

This paper cites Huang and X.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Huang and X

Reference 11

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Observation 3cbd7f4b-52ed-4abc-8a14-d39e8f1c711f · outbound

This paper cites Visualization of tone for learning mandarin chinese,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Visualization of tone for learning mandarin chinese,

Reference 12

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Observation 9c939094-6614-4cab-a925-664016e88ce0 · outbound

This paper cites Phonology of Mandarin Chinese: A comparison of Pinyin and IPA,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Phonology of Mandarin Chinese: A comparison of Pinyin and IPA,

Reference 13

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Observation dc9d9818-6cb6-4d34-b99b-4972ee2701f1 · outbound

This paper cites Modern chi- nese phonology,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Modern chi- nese phonology,

Reference 14

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source=pdf_text observed=2026-06-26T11:43:27.916617Z digest=sha256:8a875eefe1df881a63a7f3ba40af69dc38d787b07882a447ca4894c1c209ae2f

Observation b341e3d9-7541-4434-9815-04bef259ff52 · outbound

This paper cites Cambridge University Press, 1999.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Cambridge University Press, 1999

Reference 15

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Observation cca8ddec-19b6-499f-859d-50a1a73f2538 · outbound

This paper cites Mandarin chinese mispronunciation detection and diagnosis leveraging deep neural network based acoustic modeling and training techniques,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Mandarin chinese mispronunciation detection and diagnosis leveraging deep neural network based acoustic modeling and training techniques,

Reference 16

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Observation 1ec382db-4962-4117-8c1f-d5c153b3bf00 · outbound

This paper cites Improv- ing mispronunciation detection of mandarin tones for non-native learners with soft-target tone labels and blstm-based deep tone models,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Improv- ing mispronunciation detection of mandarin tones for non-native learners with soft-target tone labels and blstm-based deep tone models,

Reference 17

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Observation b03b79b9-8274-46c1-bdc9-bb0872be36e3 · outbound

This paper cites Self-supervised pre-trained speech representation based end-to-end mispronunci- ation detection and diagnosis of mandarin,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Self-supervised pre-trained speech representation based end-to-end mispronunci- ation detection and diagnosis of mandarin,

Reference 18

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Observation e62e4ea2-193c-4476-abe3-8eddc5ce96bf · outbound

This paper cites Multi- feature and multi-modal mispronunciation detection and diagno- sis method based on the squeezeformer encoder,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Multi- feature and multi-modal mispronunciation detection and diagno- sis method based on the squeezeformer encoder,

Reference 19

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Observation ee2cde13-b31b-4d18-b52f-7628aaf72aae · outbound

This paper cites Speech recognition of accented mandarin based on improved conformer,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Speech recognition of accented mandarin based on improved conformer,

Reference 20

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Observation 416ea930-19c1-4f1f-b37d-16e07e72df14 · outbound

This paper cites Mispronunciation detection of mandarin pro- nunciation errors in tibetan students based on bidfsmn,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Mispronunciation detection of mandarin pro- nunciation errors in tibetan students based on bidfsmn,

Reference 21

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Observation 8317f0a5-7b95-4105-bfcb-a6b2b8cab90a · outbound

This paper cites Pitch-Aware RNN-T for Mandarin Chinese Mispronunciation Detection and Diagnosis.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Pitch-Aware RNN-T for Mandarin Chinese Mispronunciation Detection and Diagnosis

Reference 22

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arxiv_id, observed 2026-07-04T08:29:41.243417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f2df647a-0ff6-4687-8455-c386a63c0b71 · outbound

This paper cites A study of mispronunci- ation detection and diagnosis based on meta-learning,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis A study of mispronunci- ation detection and diagnosis based on meta-learning,

Reference 23

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Observation b7425e71-f1a8-4f87-8cdc-39dcb827951e · outbound

This paper cites Improv- ing non-native mispronunciation detection and enriching diag- nostic feedback with dnn-based speech attribute modeling,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Improv- ing non-native mispronunciation detection and enriching diag- nostic feedback with dnn-based speech attribute modeling,

Reference 24

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Observation 5d26b79f-9d1e-473c-98a9-26b825e7ba8c · outbound

This paper cites Phonological-level wav2vec2-based mispronunciation detection and diagnosis,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Phonological-level wav2vec2-based mispronunciation detection and diagnosis,

Reference 25

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Observation d5904698-eab5-44aa-92e2-49d622a793cc · outbound

This paper cites Attribute-based mandarin speech recognition using conditional random fields,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Attribute-based mandarin speech recognition using conditional random fields,

Reference 26

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Observation 52531ab1-4d02-4092-96f2-d6da0bc3196b · outbound

This paper cites Detection-based accented speech recognition using articulatory features,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Detection-based accented speech recognition using articulatory features,

Reference 27

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Observation 3c4da6a6-b3dc-4625-af0e-cb20dc1c7b47 · outbound

This paper cites Automatic labelling of pitch levels and pitch move- ments in speech corpora,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Automatic labelling of pitch levels and pitch move- ments in speech corpora,

Reference 28

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Observation 6436581a-1c3a-4055-86a4-18ab8929f886 · outbound

This paper cites Dragonmapper: Identification and conversion func- tions for chinese text processing,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Dragonmapper: Identification and conversion func- tions for chinese text processing,

Reference 29

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Observation 07793969-acb0-47e2-8bbb-abaeaf58a50e · outbound

This paper cites V owels and diphthongs in the Changde Man- darin Chinese,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis V owels and diphthongs in the Changde Man- darin Chinese,

Reference 30

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Observation 023dd0de-662b-487f-8830-34907482162d · outbound

This paper cites A preliminary study on analysing mandarin tone values of romance L2 mandarin learn- ers,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis A preliminary study on analysing mandarin tone values of romance L2 mandarin learn- ers,

Reference 31

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Observation 445ee874-88e2-4425-87c0-a0f962190a6d · outbound

This paper cites Binary codes capable of correcting deletions, insertions and reversals,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Binary codes capable of correcting deletions, insertions and reversals,

Reference 32

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Observation f6011e6e-ed6b-4391-8251-7d67b61172d2 · outbound

This paper cites Common Voice: A Massively-Multilingual Speech Corpus.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Common Voice: A Massively-Multilingual Speech Corpus

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arxiv_id, observed 2026-07-04T08:29:41.251618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 3b84ab64-f401-4b80-ad34-3533500891e5 · outbound

This paper cites AIShell-1: An open- source Mandarin speech corpus and a speech recognition base- line,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis AIShell-1: An open- source Mandarin speech corpus and a speech recognition base- line,

Reference 34

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Observation bcd994a5-60d3-4de5-bd42-f53de71f564d · outbound

This paper cites Latic: A non-native pre-labelled mandarin chinese validation corpus for automatic speech scoring and evaluation,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Latic: A non-native pre-labelled mandarin chinese validation corpus for automatic speech scoring and evaluation,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-06-26T11:43:27.916617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 88c43a54-15d0-4e9c-8327-44d5327cfaa3 · outbound

This paper cites Unsupervised Cross-Lingual Representation Learning for Speech Recognition,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Unsupervised Cross-Lingual Representation Learning for Speech Recognition,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-06-26T11:43:27.916617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T11:43:27.916617Z digest=sha256:f9bcc2a0547ca03a941ed6ddc3f5afe170d01c0cf3d60c750eb6bf3d301854d8

Observation 54eb724b-3ac0-40a1-bab1-079ec89f5559 · outbound

This paper cites Decoupled weight decay regulariza- tion,.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Decoupled weight decay regulariza- tion,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-06-26T11:43:27.916617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T11:43:27.916617Z digest=sha256:3a879e3bf71dc7b729b6b71b8c29b47c3b2c1bcc1bc115003b687f7bab33b0fb

Observation 9f4cda25-a5b6-41c0-92b0-6c12483535c8 · outbound

This paper cites 2010 , copyright =.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis 2010 , copyright =

Reference 38

Resolution
verified exact
doi, observed 2026-06-26T11:49:25.585142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T11:43:27.916617Z digest=sha256:4f8390ee97da29e77bf61d6809cd479ab500d20ad3032767ad7872422cd84a1b

Pith citing papers

Observation a1c2d3e4-cdb6-47b7-8a6a-46c765f02da0 · inbound

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis cites this paper.

Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-04T08:29:41.245984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T11:43:27.916617Z digest=sha256:69f49a1516949ccd70b90a215b4d12d7a59fe76e6b9f67ceb1ab164865df7b10