Pith. sign in

Paper Citation Record · LEDGER

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines

As of 14 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2501.08696.

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

pith.paper-citation-record.v1
2501.08696 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:24:34.048817Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

  • verified exact1
  • verified fuzzy27
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8662c541-db9a-4d91-bfed-e176a46047dc · outbound

This paper cites The integrated motivational– volitional model of suicidal behaviour,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines The integrated motivational– volitional model of suicidal behaviour,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.550216Z

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=2026-08-10T20:24:33.858138Z digest=sha256:407e8d0bd00bff587496d8c7062ab6ac390b4717c4777a0969863e5f2978a43c

Observation 1cac3aed-6cb2-423b-ba10-aaa442cae74d · outbound

This paper cites Suicide research in mainland china, hong kong, and macau over three decades,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Suicide research in mainland china, hong kong, and macau over three decades,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.537694Z

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=2026-08-10T20:24:33.863979Z digest=sha256:c3d97eb3e6939c63a4b63ce52fc1b8505f387ab9ea9c76c847e5facc5b42f206

Observation 4d133dcd-be2b-41a7-badb-6304abe5c664 · outbound

This paper cites The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.525218Z

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=2026-08-10T20:24:33.868431Z digest=sha256:0c69206a2c02d06f997d171ebc58188aec83ce5a607181554e0b49c57e14d2df

Observation 689e3456-797c-42a9-979c-1e1a22baf563 · outbound

This paper cites Suicide-related calls to a national crisis chat hotline service during the covid-19 pandemic and lockdown,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Suicide-related calls to a national crisis chat hotline service during the covid-19 pandemic and lockdown,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.512960Z

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=2026-08-10T20:24:33.872750Z digest=sha256:276ad80c2adc2225d08875a3affb489606d2cfea8b21ab9af1509521e0888c6b

Observation e10c73fa-4974-47d3-a17f-5ba485102cf8 · outbound

This paper cites Follow-up with callers to the national suicide prevention lifeline: Evaluation of callers’ perceptions of care,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Follow-up with callers to the national suicide prevention lifeline: Evaluation of callers’ perceptions of care,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.501481Z

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=2026-08-10T20:24:33.878170Z digest=sha256:445f792bd5b3e0ba0d8084d4450e501abcc0ff5559132085e96b0ee8b88035d1

Observation 57df0283-886f-40f5-90e9-5b97bde2a19a · outbound

This paper cites Helping callers to the national suicide prevention lifeline who are at imminent risk of suicide: Evalua- tion of caller risk profiles and interventions implemented,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Helping callers to the national suicide prevention lifeline who are at imminent risk of suicide: Evalua- tion of caller risk profiles and interventions implemented,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.488894Z

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=2026-08-10T20:24:33.883774Z digest=sha256:e45efe4ceaf2479449d0c998dcb9edbe9df756f0d8b06fe39796a9440c50d41d

Observation 7249b604-013b-4c1a-b538-a95a3cea9b1a · outbound

This paper cites Biologically inspired speech emo- tion recognition,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Biologically inspired speech emo- tion recognition,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.476016Z

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=2026-08-10T20:24:33.889256Z digest=sha256:d1bafd61385a6f04e2828aa0f1cf01797b9fe2e30b5178ae0f3032c195a3226b

Observation 2f841690-2a88-484c-8016-03a6e09a05cc · outbound

This paper cites An evaluation of suicide prevention hotline results in taiwan: caller profiles and the effect on emotional distress and suicide risk,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines An evaluation of suicide prevention hotline results in taiwan: caller profiles and the effect on emotional distress and suicide risk,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.461804Z

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=2026-08-10T20:24:33.894678Z digest=sha256:96b14c9a9f61d6c942ea0f02a52c6f58952d923b47715473bfd63442ac672bb9

Observation 3739c29b-1cb6-4b53-b76a-eed00bd6e593 · outbound

This paper cites Unlocking the emotional states of high-risk suicide callers through speech analysis,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Unlocking the emotional states of high-risk suicide callers through speech analysis,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.449224Z

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=2026-08-10T20:24:33.898689Z digest=sha256:7a6c813114703f7663a413c2c1fb8169600f9b88bd2d93f1d0a59be6b7782cf6

Observation 05063dcc-3a2d-4b0a-a140-ad7aff0dfacf · outbound

This paper cites Fine-grained Speech Sentiment Analysis in Chinese Psychological Support Hotlines Based on Large-scale Pre-trained Model.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Fine-grained Speech Sentiment Analysis in Chinese Psychological Support Hotlines Based on Large-scale Pre-trained Model

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:24:34.170179Z

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=2026-08-10T20:24:33.903636Z digest=sha256:c5429c4c80dd35865658b7d4d6315045ecade45e7b893e987ae3e150d678811f

Observation 55f5ef14-2573-4221-8a5e-d092bac6305b · outbound

This paper cites Speech emotion recognition approaches: A systematic review,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Speech emotion recognition approaches: A systematic review,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.432993Z

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=2026-08-10T20:24:33.909523Z digest=sha256:1eafd4e31ca30ac88ca6c999f9eeb8ada71c77b7e074236b2ca4f9eab744e2bd

Observation 0c5dce91-c262-42ce-99ec-8713dcccf33b · outbound

This paper cites An Exploratory Deep Learning Approach for Predicting Subsequent Suicidal Acts in Chinese Psychological Support Hotlines.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines An Exploratory Deep Learning Approach for Predicting Subsequent Suicidal Acts in Chinese Psychological Support Hotlines

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:33.914099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:33.914099Z digest=sha256:4a98ddd53019ea0c5e427b90a17c3714cfab49fb02528aa1e1b0965674e4496e

Observation d53151f6-9f12-422c-ba9a-8cc87dad449a · outbound

This paper cites Emotion recognition from natural phone conversations in individuals with and without recent suicidal ideation,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Emotion recognition from natural phone conversations in individuals with and without recent suicidal ideation,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.417652Z

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=2026-08-10T20:24:33.919796Z digest=sha256:5ccaffa356f5565d9ddd987281ed382d5133348b63bb83ee14aeb64af2f264c9

Observation e0a00247-d1be-4c4f-b3c1-755ed11c617f · outbound

This paper cites The geneva minimalistic acoustic parameter set (gemaps) for voice research and affective computing,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines The geneva minimalistic acoustic parameter set (gemaps) for voice research and affective computing,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.403401Z

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=2026-08-10T20:24:33.924260Z digest=sha256:27ecc534d51436732415705b018f743f7a223e80e782bc543dbe12782de47c1d

Observation 46ba2c5b-2597-4699-8584-9135c18e06b6 · outbound

This paper cites Spontaneous Speech-Based Suicide Risk Detection Using Whisper and Large Language Models.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Spontaneous Speech-Based Suicide Risk Detection Using Whisper and Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:33.929359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:33.929359Z digest=sha256:bd73559262c8a1ff2b2423defb06bf989993cd150c27a5a9d2852767ab41ed27

Observation f273bd14-05a8-493c-aff9-09ec80238489 · outbound

This paper cites Robust speech recognition via large-scale weak supervi- sion,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Robust speech recognition via large-scale weak supervi- sion,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:33.933825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:33.933825Z digest=sha256:1797688ed309bc70fe81172bd9dbc1339524dd37ca65c4da2b67f21ef0d5376a

Observation 0a8445c5-5f33-4ce8-81fe-7dcecacf8938 · outbound

This paper cites Speech emotion recognition with co-attention based multi-level acoustic information,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Speech emotion recognition with co-attention based multi-level acoustic information,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:33.937513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:33.937513Z digest=sha256:02b603e7dc7f628b83c2e1c89cae9b2091e43617d66b5c10a4d733f21c40b5b8

Observation 1af0178b-8955-4a14-971f-90671af84409 · outbound

This paper cites Dual-tbnet: Improving the robustness of speech features via dual-transformer-bilstm for speech emotion recognition,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Dual-tbnet: Improving the robustness of speech features via dual-transformer-bilstm for speech emotion recognition,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.375266Z

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=2026-08-10T20:24:33.941438Z digest=sha256:0eef17490b76652941f4d5e4058cbcbe590f8fbd29e2f07dd5e20dfa921e56c0

Observation 86e778f1-2cb7-4b9b-9c4f-4925a63a0bed · outbound

This paper cites A robust pitch-fusion model for speech emotion recognition in tonal languages,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines A robust pitch-fusion model for speech emotion recognition in tonal languages,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.363927Z

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=2026-08-10T20:24:33.945512Z digest=sha256:87a87d6c4428697504f0b49cecf0e25cdd83b2c7aca17de673d76aab4b5ef1c7

Observation cfb963d7-68fc-48bb-809f-a6c458e815c1 · outbound

This paper cites Emotion neural transducer for fine-grained speech emotion recognition,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Emotion neural transducer for fine-grained speech emotion recognition,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.352922Z

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=2026-08-10T20:24:33.951728Z digest=sha256:4e195317511356e3ab9734f0eb1fa86b7b3733efb780f78c008007155547fd84

Observation fbd40dcc-272b-40b7-8653-3dd319c94a12 · outbound

This paper cites Deep learning based speech emotion recognition for parkinson patient,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Deep learning based speech emotion recognition for parkinson patient,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.342059Z

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=2026-08-10T20:24:33.957456Z digest=sha256:998b8823ad49d64e8f9907654ed8e3a272b10883a1db925a1363445734598fb5

Observation 2ca5dbc7-bd33-48e5-b86d-c9fcebd05ce4 · outbound

This paper cites Emotion recognition from speech using mfcc and dwt for security system,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Emotion recognition from speech using mfcc and dwt for security system,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.331384Z

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=2026-08-10T20:24:33.961246Z digest=sha256:bfc4af654f12bc8010e761cd640c5389447d656c86e36a57e75bb9df1d084d8c

Observation 24505358-407d-4ac5-82b2-79f37f6a5208 · outbound

This paper cites Investigating trans- former encoders and fusion strategies for speech emotion recognition in emergency call center conversations.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Investigating trans- former encoders and fusion strategies for speech emotion recognition in emergency call center conversations

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.319916Z

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=2026-08-10T20:24:33.965751Z digest=sha256:42c152c571e68b9aeb6b05c0b6fb47fe9b2b84621a284879a2ca57fd847fee4b

Observation 65eba4da-7f4c-4f4c-8e27-3d9634150f7f · outbound

This paper cites Emotion recognition from speech: a review,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Emotion recognition from speech: a review,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:33.969963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:33.969963Z digest=sha256:745e2f1caad00d0c3a5128a9c06d866822bfd770a2abfcf28681b985de2e58a7

Observation bf6bb0d6-5af5-4d2f-99fe-f410d88d66d2 · outbound

This paper cites Speech emotion recognition via multi-level attention network,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Speech emotion recognition via multi-level attention network,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.303181Z

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=2026-08-10T20:24:33.974568Z digest=sha256:836ab06b1736184711dcdcb0b55938a334326b1c0f11818a245877d631a405d4

Observation 35e9bc17-cd9c-4db9-983d-3993d08f16de · outbound

This paper cites Stutternet: Stuttering disfluencies detection in synthetic speech signals via mel frequency cepstral coefficients features using deep learning,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Stutternet: Stuttering disfluencies detection in synthetic speech signals via mel frequency cepstral coefficients features using deep learning,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.290866Z

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=2026-08-10T20:24:33.979303Z digest=sha256:daa0602b48d90a6cd4ab5bfa3e9307c8beb7d06fe3c910e67a6efb6deb312647

Observation 471f87b0-d449-421b-bee6-3d475013ef09 · outbound

This paper cites Attention is all you need,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Attention is all you need,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:33.983301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:33.983301Z digest=sha256:f2cf3a42e4ad0bc77d1d74046e474c57e54ae1a044550043cf35a84f56a3782e

Observation 93ce33f7-2f19-4831-930e-11919841edd1 · outbound

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

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:33.987776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:33.987776Z digest=sha256:4509a775e18c6c8bd9ba58e6d1d0673d2cb20f6c50ceb0d945c2dde004b0d894

Observation 5dd720d2-62b3-4924-80b7-bf1135d851ec · outbound

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

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Hubert: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:33.992452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:33.992452Z digest=sha256:e6626535e922353c3ec2c7126af4e35cf97c41bf7d7d8530e346465f81ce615d

Observation 7b2b00cf-302e-4477-9c45-fbcf8417b58a · outbound

This paper cites Automatic speech recognition system for tonal languages: State-of-the-art survey,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Automatic speech recognition system for tonal languages: State-of-the-art survey,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.261085Z

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=2026-08-10T20:24:33.996993Z digest=sha256:3304220074e2f363abe1c72cdf32d38f296b1283f2acb21d9e7c3fe8a8fcfe8e

Observation 2d9c8888-8081-4f3a-a764-560956d11987 · outbound

This paper cites Mispronun- ciation detection and diagnosis model for tonal language, applied to vietnamese,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Mispronun- ciation detection and diagnosis model for tonal language, applied to vietnamese,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.251111Z

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=2026-08-10T20:24:34.000954Z digest=sha256:8472ad0c4ab2da3ca2dfba1364315e4a7e23e14481e516af2bbfadb32ea1f764

Observation 1cc791c3-6d6e-4c76-9918-0655c37bc766 · outbound

This paper cites Multi-level speaker- independent emotion recognition using complex-mfcc and swin trans- former,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Multi-level speaker- independent emotion recognition using complex-mfcc and swin trans- former,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.239395Z

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=2026-08-10T20:24:34.005039Z digest=sha256:5391a3f3fffbe68345f125d06b5cfdf4a61e0de3e82c5c82a538cf981d8d4897

Observation a54f4dde-eee9-4c04-acb6-676d8787004c · outbound

This paper cites Prospective study of association of characteristics of hotline psychological intervention in 778 high-risk callers with subsequent suicidal act,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Prospective study of association of characteristics of hotline psychological intervention in 778 high-risk callers with subsequent suicidal act,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.228782Z

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=2026-08-10T20:24:34.009604Z digest=sha256:19fbaeab3811d392bf25cd9abda6a650b12377debb1bc156eb92bbc1b65fd7d5

Observation 299e6ac3-c221-4bf0-9ef3-2ec9d04fcb14 · outbound

This paper cites Predictive value of suicidal risk assessment using data from china’s largest suicide prevention hotline,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Predictive value of suicidal risk assessment using data from china’s largest suicide prevention hotline,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.216308Z

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=2026-08-10T20:24:34.013437Z digest=sha256:b0a017cbf23a91dd18feb9012140785d04b9b2c548d136d162be8c18259c4476

Observation ec139348-a02b-4f2a-b567-a19eaf27591d · outbound

This paper cites FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:34.019725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:34.019725Z digest=sha256:181b4bae6550471c7d0a5a6ca8e5aa8516f590486e22f7f4cf88fa0f1679ce81

Observation b2eb1122-4a9a-44b3-9555-1dc409910eeb · outbound

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

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Common Voice: A Massively-Multilingual Speech Corpus

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:34.024941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:34.024941Z digest=sha256:074c3585394409a808a72b0587825ae3184a97397cc5e1944a9235405ba12725

Observation c3cafb94-4cfb-41bf-975a-708b45e18757 · outbound

This paper cites CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:34.030251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:34.030251Z digest=sha256:9bc0e054ae9747f40a5721ec0796ebe3beaef430cc9de233da3320176fbe02c5

Observation 30ef9027-6dae-4b9d-b347-c1005b5b3f86 · outbound

This paper cites St-cmds-20170001 1, free st chinese mandarin corpus,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines St-cmds-20170001 1, free st chinese mandarin corpus,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.199700Z

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=2026-08-10T20:24:34.035831Z digest=sha256:4ff221fb05c6843f8e7375da1a97d96f1e7136725fda9b88746b654b6998820b

Observation e749c1ec-fd1a-48e4-b02b-3eea39654d8f · outbound

This paper cites Wav2vec2-base-vi,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Wav2vec2-base-vi,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.188324Z

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=2026-08-10T20:24:34.039948Z digest=sha256:eb04d39107a9b2145e367db357f9c32948190e2a78562cfec40235d1d765c191

Observation 51c3bf4b-de3d-44bf-a73e-1a7b54d0e3ba · outbound

This paper cites librosa: Audio and music signal analysis in python.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines librosa: Audio and music signal analysis in python

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:34.043831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:34.043831Z digest=sha256:5ea51a287801841aa0e79177d8c2cca310ed83b99d7035becd4aed3178a0c21b

Observation f5dbe70b-99dd-4966-8711-670ba85cd7ce · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Adam: A Method for Stochastic Optimization

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:34.048817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:34.048817Z digest=sha256:f6b488d342e64fa5b3ec1a3393b8f06857c5edd0983d5fe792a37544885de43f

Pith citing papers

No inbound Pith citation observations are available.