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

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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

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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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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

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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

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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

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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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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.

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.

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.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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.

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.

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.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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.

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

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