Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-26T11:43:27.916617Z
Paper Citation Record · LEDGER
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.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-26T11:43:27.916617Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T11:43:27.916617Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-04T08:29:41.244571Z
38 of 38 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation de0caa8a-1b69-4cc2-aef2-f4fa9b7dc588 · outbound
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
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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Observation 2b6ee71c-bae6-4a55-8d2a-98823e22276e · outbound
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
Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis PER is reported for phoneme-level systems
Reference 4
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Observation ae0c5015-d456-4ca6-b561-45cb4c53ad36 · outbound
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
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
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
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
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
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
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
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
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
Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Modern chi- nese phonology,
Reference 14
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Unavailable: canonical work link unavailable.
Observation b341e3d9-7541-4434-9815-04bef259ff52 · outbound
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
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
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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Unavailable: canonical work link unavailable.
Observation b03b79b9-8274-46c1-bdc9-bb0872be36e3 · outbound
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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Unavailable: canonical work link unavailable.
Observation e62e4ea2-193c-4476-abe3-8eddc5ce96bf · outbound
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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Unavailable: canonical work link unavailable.
Observation ee2cde13-b31b-4d18-b52f-7628aaf72aae · outbound
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
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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Unavailable: canonical work link unavailable.
Observation 8317f0a5-7b95-4105-bfcb-a6b2b8cab90a · outbound
Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Pitch-Aware RNN-T for Mandarin Chinese Mispronunciation Detection and Diagnosis
Reference 22
Source-reported events for the cited work
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Observation f2df647a-0ff6-4687-8455-c386a63c0b71 · outbound
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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Unavailable: canonical work link unavailable.
Observation b7425e71-f1a8-4f87-8cdc-39dcb827951e · outbound
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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Unavailable: canonical work link unavailable.
Observation 5d26b79f-9d1e-473c-98a9-26b825e7ba8c · outbound
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
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
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
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
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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Unavailable: canonical work link unavailable.
Observation 07793969-acb0-47e2-8bbb-abaeaf58a50e · outbound
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
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
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
Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Common Voice: A Massively-Multilingual Speech Corpus
Reference 33
Source-reported events for the cited work
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Observation 3b84ab64-f401-4b80-ad34-3533500891e5 · outbound
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
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
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Observation 88c43a54-15d0-4e9c-8327-44d5327cfaa3 · outbound
Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Unsupervised Cross-Lingual Representation Learning for Speech Recognition,
Reference 36
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Observation 54eb724b-3ac0-40a1-bab1-079ec89f5559 · outbound
Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Decoupled weight decay regulariza- tion,
Reference 37
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Observation 9f4cda25-a5b6-41c0-92b0-6c12483535c8 · outbound
Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis 2010 , copyright =
Reference 38
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Observation a1c2d3e4-cdb6-47b7-8a6a-46c765f02da0 · inbound
Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis
Reference 2
Source-reported events for the cited work
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