Shrikanth Narayanan - researchr alias

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Viewing Publication 1 - 100 from 443

2023

Designing and Evaluating Speech Emotion Recognition Systems: A Reality Check Case Study with IEMOCAPNikolaos Antoniou, Athanasios Katsamanis, Theodoros Giannakopoulos, Shrikanth Narayanan. icassp 2023: 1-5 [doi]

Navigating and Reaching Therapeutic Goals with Dynamical Systems in Conversation-Based InterventionsVictor Ardulov, Shrikanth Narayanan. icassp 2023: 1-5 [doi]

Signal Processing Grand Challenge 2023 - E-Prevention: Sleep Behavior as an Indicator of Relapses in Psychotic PatientsKleanthis Avramidis, Kranti Adsul, Digbalay Bose, Shrikanth Narayanan. icassp 2023: 1-2 [doi]

On the Role of Visual Context in Enriching Music RepresentationsKleanthis Avramidis, Shanti Stewart, Shrikanth Narayanan. icassp 2023: 1-5 [doi]

Multimodal Estimation Of Change Points Of Physiological Arousal During DrivingKleanthis Avramidis, TianTian Feng, Digbalay Bose, Shrikanth Narayanan. icassp 2023: 1-5 [doi]

Character Coreference Resolution in Movie ScreenplaysSabyasachee Baruah, Shrikanth Narayanan. acl 2023: 10300-10313 [doi]

Contextually-Rich Human Affect Perception Using Multimodal Scene InformationDigbalay Bose, Rajat Hebbar, Krishna Somandepalli, Shrikanth Narayanan. icassp 2023: 1-5 [doi]

MM-AU: Towards Multimodal Understanding of Advertisement VideosDigbalay Bose, Rajat Hebbar, TianTian Feng, Krishna Somandepalli, Anfeng Xu, Shrikanth Narayanan. mm 2023: 86-95 [doi]

MovieCLIP: Visual Scene Recognition in MoviesDigbalay Bose, Rajat Hebbar, Krishna Somandepalli, Haoyang Zhang, Yin Cui, Kree Cole-McLaughlin, Huisheng Wang, Shrikanth Narayanan. wacv 2023: 2082-2091 [doi]

Using Emotion Embeddings to Transfer Knowledge between Emotions, Languages, and Annotation FormatsGeorgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan. icassp 2023: 1-5 [doi]

Leveraging Label Correlations in a Multi-Label Setting: a Case Study in EmotionGeorgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan. icassp 2023: 1-5 [doi]

PEFT-SER: On the Use of Parameter Efficient Transfer Learning Approaches For Speech Emotion Recognition Using Pre-trained Speech ModelsTianTian Feng, Shrikanth Narayanan. acii 2023: 1-8 [doi]

FedMultimodal: A Benchmark for Multimodal Federated LearningTianTian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang 0002, Salman Avestimehr, Shrikanth Narayanan. kdd 2023: 4035-4045 [doi]

A Dataset for Audio-Visual Sound Event Detection in MoviesRajat Hebbar, Digbalay Bose, Krishna Somandepalli, Veena Vijai, Shrikanth Narayanan. icassp 2023: 1-5 [doi]

SEAR: Semantically-grounded Audio RepresentationsRajat Hebbar, Digbalay Bose, Shrikanth Narayanan. mm 2023: 2785-2794 [doi]

Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and PredictionHoma Hosseinmardi, Amir Ghasemian, Kristina Lerman, Shrikanth Narayanan, Emilio Ferrara. ichi 2023: 91-100 [doi]

A Context-Aware Computational Approach for Measuring Vocal Entrainment in Dyadic ConversationsRimita Lahiri, Md. Nasir, Catherine Lord, So-Hyun Kim, Shrikanth Narayanan. icassp 2023: 1-5 [doi]

A study of bias mitigation strategies for speaker recognitionRaghuveer Peri, Krishna Somandepalli, Shrikanth Narayanan. csl, 79:101481, April 2023. [doi]

Domain Adaptation for Sentiment Analysis Using Robust Internal RepresentationsMohammad Rostami, Digbalay Bose, Shrikanth Narayanan, Aram Galstyan. emnlp 2023: 11484-11498 [doi]

Cross Modal Video Representations for Weakly Supervised Active Speaker LocalizationRahul Sharma, Krishna Somandepalli, Shrikanth Narayanan. tmm, 25:7825-7836, 2023. [doi]

Can Knowledge of End-to-End Text-to-Speech Models Improve Neural Midi-to-Audio Synthesis Systems?Xuan Shi, Erica Cooper, Xin Wang 0037, Junichi Yamagishi, Shrikanth Narayanan. icassp 2023: 1-5 [doi]

Context Unlocks Emotions: Text-based Emotion Classification Dataset Auditing with Large Language ModelsDaniel Yang, Aditya Kommineni, Mohammad Alshehri, Nilamadhab Mohanty, Vedant Modi, Jonathan Gratch, Shrikanth Narayanan. acii 2023: 1-8 [doi]

2022

Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine LearningKleanthis Avramidis, Mohammad Rostami, Melinda Chang, Shrikanth Narayanan. icip 2022: 3973-3977 [doi]

Audio and ASR-based Filled Pause DetectionAggelina Chatziagapi, Dimitris Sgouropoulos, Constantinos Karouzos, Thomas Melistas, Theodoros Giannakopoulos, Athanasios Katsamanis, Shrikanth Narayanan. acii 2022: 1-7 [doi]

An automated quality evaluation framework of psychotherapy conversations with local quality estimatesZhuohao Chen, Nikolaos Flemotomos, Karan Singla, Torrey A. Creed, David C. Atkins, Shrikanth Narayanan. csl, 75:101380, 2022. [doi]

Leveraging Open Data and Task Augmentation to Automated Behavioral Coding of Psychotherapy Conversations in Low-Resource ScenariosZhuohao Chen, Nikolaos Flemotomos, Zac E. Imel, David C. Atkins, Shrikanth Narayanan. emnlp 2022: 5787-5795 [doi]

Causal indicators for assessing the truthfulness of child speech in forensic interviewsZane Durante, Victor Ardulov, Manoj Kumar 0007, Jennifer Gongola, Thomas D. Lyon, Shrikanth Narayanan. csl, 71:101263, 2022. [doi]

Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-LabelingTianTian Feng, Shrikanth Narayanan. interspeech 2022: 5050-5054 [doi]

User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition on Federated LearningTianTian Feng, Raghuveer Peri, Shrikanth Narayanan. interspeech 2022: 5055-5059 [doi]

Multimodal Clustering with Role Induced Constraints for Speaker DiarizationNikolaos Flemotomos, Shrikanth Narayanan. interspeech 2022: 5075-5079 [doi]

Multi-Label Multi-Task Deep Learning for Behavioral CodingJames Gibson, David C. Atkins, Torrey A. Creed, Zac E. Imel, Panayiotis G. Georgiou, Shrikanth Narayanan. taffco, 13(1):508-518, 2022. [doi]

Modeling Vocal Entrainment in Conversational Speech Using Deep Unsupervised LearningMd. Nasir, Brian R. Baucom, Craig J. Bryan, Shrikanth Narayanan, Panayiotis G. Georgiou. taffco, 13(3):1651-1663, 2022. [doi]

A review of speaker diarization: Recent advances with deep learningTae-Jin Park, Naoyuki Kanda, Dimitrios Dimitriadis, Kyu J. Han, Shinji Watanabe 0001, Shrikanth Narayanan. csl, 72:101317, 2022. [doi]

Joint Multi-Dimensional Model for Global and Time-Series AnnotationsAnil Ramakrishna, Rahul Gupta, Shrikanth Narayanan. taffco, 13(1):473-484, 2022. [doi]

Editorial: Intelligent Signal Analysis for Contagious Virus DiseasesBjörn W. Schuller, Yonina C. Eldar, Maja Pantic, Shrikanth Narayanan, Tuomas Virtanen, Jianhua Tao. jstsp, 16(2):159-163, 2022. [doi]

End-to-end neural systems for automatic children speech recognition: An empirical studyPrashanth Gurunath Shivakumar, Shrikanth Narayanan. csl, 72:101289, 2022. [doi]

Robust Character Labeling in Movie Videos: Data Resources and Self-Supervised Feature AdaptationKrishna Somandepalli, Rajat Hebbar, Shrikanth Narayanan. tmm, 24:3355-3368, 2022. [doi]

2021

Annotation and Evaluation of Coreference Resolution in ScreenplaysSabyasachee Baruah, Sandeep Nallan Chakravarthula, Shrikanth Narayanan. acl 2021: 2004-2010 [doi]

Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable SensorsKeith Burghardt, Nazgol Tavabi, Emilio Ferrara, Shrikanth Narayanan, Kristina Lerman. sbp-brims 2021: 257-267 [doi]

An analysis of observation length requirements for machine understanding of human behaviors from spoken languageSandeep Nallan Chakravarthula, Brian R. W. Baucom, Shrikanth Narayanan, Panayiotis G. Georgiou. csl, 66:101162, 2021. [doi]

Feature Fusion Strategies for End-to-End Evaluation of Cognitive Behavior Therapy SessionsZhuohao Chen, Nikolaos Flemotomos, Victor Ardulov, Torrey A. Creed, Zac E. Imel, David C. Atkins, Shrikanth Narayanan. embc 2021: 1836-1839 [doi]

Privacy and Utility Preserving Data Transformation for Speech Emotion RecognitionTianTian Feng, Shrikanth Narayanan. acii 2021: 1-7 [doi]

Context-Aware Speech Stress Detection in Hospital Workers Using Bi-LSTM ClassifiersAmr Gaballah, Abhishek Tiwari, Shrikanth Narayanan, Tiago H. Falk. icassp 2021: 8348-8352 [doi]

A Computational Tool to Study Vocal Participation of Women in UN-ITU MeetingsRajat Hebbar, Krishna Somandepalli, Raghuveer Peri, Ruchir Travadi, Tracy Tuplin, Fernando Rivera, Shrikanth Narayanan. cbmi 2021: 1-4 [doi]

Deep multiple instance learning for foreground speech localization in ambient audio from wearable devicesRajat Hebbar, Pavlos Papadopoulos, Ramon Reyes, Alexander F. Danvers, Angelina J. Polsinelli, Suzanne A. Moseley, David A. Sbarra, Matthias R. Mehl, Shrikanth Narayanan. ejasmp, 2021(1):1-8, 2021. [doi]

Adversarial attack and defense strategies for deep speaker recognition systemsArindam Jati, Chin-Cheng Hsu, Monisankha Pal, Raghuveer Peri, Wael AbdAlmageed, Shrikanth Narayanan. csl, 68:101199, 2021. [doi]

Temporal Dynamics of Workplace Acoustic Scenes: Egocentric Analysis and PredictionArindam Jati, Amrutha Nadarajan, Raghuveer Peri, Karel Mundnich, TianTian Feng, Benjamin Girault, Shrikanth Narayanan. taslp, 29:756-769, 2021. [doi]

Loss Function Approaches for Multi-label Music TaggingDillon Knox, Timothy Greer, Benjamin Ma, Emily Kuo, Krishna Somandepalli, Shrikanth Narayanan. cbmi 2021: 1-4 [doi]

Developing Neural Representations for Robust Child-Adult DiarizationSuchitra Krishnamachari, Manoj Kumar 0007, So-Hyun Kim, Catherine Lord, Shrikanth Narayanan. slt 2021: 590-597 [doi]

Evidence of Task-Independent Person-Specific Signatures in EEG Using Subspace TechniquesMari Ganesh Kumar, Shrikanth Narayanan, Mriganka Sur, Hema A. Murthy. tifs, 16:2856-2871, 2021. [doi]

Unsupervised speech representation learning for behavior modeling using triplet enhanced contextualized networksHaoQi Li, Brian R. Baucom, Shrikanth Narayanan, Panayiotis G. Georgiou. csl, 70:101226, 2021. [doi]

Adversarial Defense for Deep Speaker Recognition Using Hybrid Adversarial TrainingMonisankha Pal, Arindam Jati, Raghuveer Peri, Chin-Cheng Hsu, Wael AbdAlmageed, Shrikanth Narayanan. icassp 2021: 6164-6168 [doi]

Meta-Learning With Latent Space Clustering in Generative Adversarial Network for Speaker DiarizationMonisankha Pal, Manoj Kumar 0007, Raghuveer Peri, Tae-Jin Park, So-Hyun Kim, Catherine Lord, Somer Bishop, Shrikanth Narayanan. taslp, 29:1204-1219, 2021. [doi]

Multi-Scale Speaker Diarization with Neural Affinity Score FusionTae-Jin Park, Manoj Kumar 0007, Shrikanth Narayanan. icassp 2021: 7173-7177 [doi]

RNN Based Incremental Online Spoken Language UnderstandingPrashanth Gurunath Shivakumar, Naveen Kumar 0004, Panayiotis G. Georgiou, Shrikanth Narayanan. slt 2021: 989-996 [doi]

Generalized Multiview Shared Subspace Learning Using View BootstrappingKrishna Somandepalli, Shrikanth Narayanan. tsp, 69:4774-4786, 2021. [doi]

Computational Media Intelligence: Human-Centered Machine Analysis of MediaKrishna Somandepalli, Tanaya Guha, Victor R. Martinez, Naveen Kumar 0004, Hartwig Adam, Shrikanth Narayanan. pieee, 109(5):891-910, 2021. [doi]

Multimodal Embeddings From Language Models for Emotion Recognition in the WildShao-Yen Tseng, Shrikanth Narayanan, Panayiotis G. Georgiou. spl, 28:608-612, 2021. [doi]

Extending the Beta divergence to complex valuesColin Vaz, Shrikanth Narayanan. prl, 144:105-111, 2021. [doi]

Mitigating the Bias of Heterogeneous Human Behavior in Affective ComputingShen Yan, Hsien-Te Kao, Kristina Lerman, Shrikanth Narayanan, Emilio Ferrara. acii 2021: 1-8 [doi]

2020

Leveraging Linguistic Context in Dyadic Interactions to Improve Automatic Speech Recognition for ChildrenManoj Kumar 0007, So-Hyun Kim, Catherine Lord, Thomas D. Lyon, Shrikanth Narayanan. csl, 63:101101, 2020. [doi]

Identifying Truthful Language in Child InterviewsVictor Ardulov, Zane Durante, Shanna Williams, Thomas D. Lyon, Shrikanth Narayanan. icassp 2020: 8074-8078 [doi]

Automatic Prediction of Suicidal Risk in Military Couples Using Multimodal Interaction Cues from Couples ConversationsSandeep Nallan Chakravarthula, Md. Nasir, Shao-Yen Tseng, HaoQi Li, Tae-Jin Park, Brian R. Baucom, Craig J. Bryan, Shrikanth Narayanan, Panayiotis G. Georgiou. icassp 2020: 6539-6543 [doi]

Automated Empathy Detection for Oncology EncountersZhuohao Chen, James Gibson, Ming-Chang Chiu, Qiaohong Hu, Tara K. Knight, Daniella Meeker, James A. Tulsky, Kathryn I. Pollak, Shrikanth Narayanan. ichi 2020: 1-8 [doi]

Screenplay Quality Assessment: Can We Predict Who Gets Nominated?Ming-Chang Chiu, TianTian Feng, Xiang Ren, Shrikanth Narayanan. acl 2020: 11-16 [doi]

Modeling Human Movement Behavior Among Nursing ProfessionTianTian Feng, Shrikanth Narayanan. embc 2020: 4256-4260 [doi]

Linguistically Aided Speaker Diarization Using Speaker Role InformationNikolaos Flemotomos, Panayiotis G. Georgiou, Shrikanth Narayanan. odyssey 2020: 117-124 [doi]

The Role of Annotation Fusion Methods in the Study of Human-Reported Emotion Experience During Music ListeningTimothy Greer, Karel Mundnich, Matthew E. Sachs, Shrikanth Narayanan. icassp 2020: 776-780 [doi]

ATQAM/MAST'20: Joint Workshop on Aesthetic and Technical Quality Assessment of Multimedia and Media Analytics for Societal TrendsTanaya Guha, Vlad Hosu, Dietmar Saupe, Bastian Goldlücke, Naveen Kumar 0004, Weisi Lin, Victor R. Martinez, Krishna Somandepalli, Shrikanth Narayanan, Wen-Huang Cheng, Kree McLaughlin, Hartwig Adam, John See, Lai-Kuan Wong. mm 2020: 4758-4760 [doi]

Dynamical systems modeling of day-to-day signal-based patterns of emotional self-regulation and stress spillover in highly-demanding health professionsGeorge Hadjiantonis, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth Narayanan, Theodora Chaspari. embc 2020: 284-287 [doi]

Vocal Tract Articulatory Contour Detection in Real-Time Magnetic Resonance Images Using Spatio-Temporal ContextS. Ashwin Hebbar, Rahul Sharma, Krishna Somandepalli, Asterios Toutios, Shrikanth Narayanan. icassp 2020: 7354-7358 [doi]

User-Based Collaborative Filtering Mobile Health SystemHsien-Te Kao, Shen Yan, Homa Hosseinmardi, Shrikanth Narayanan, Kristina Lerman, Emilio Ferrara. imwut, 4(4), 2020. [doi]

MediaEval 2020 Emotion and Theme Recognition in Music Task: Loss Function Approaches for Multi-label Music TaggingDillon Knox, Timothy Greer, Benjamin Ma, Emily Kuo, Krishna Somandepalli, Shrikanth Narayanan. mediaeval 2021: [doi]

Meta-Learning for Robust Child-Adult Classification from SpeechNithin Rao Koluguri, Manoj Kumar 0007, So-Hyun Kim, Catherine Lord, Shrikanth Narayanan. icassp 2020: 8094-8098 [doi]

Learning Domain Invariant Representations for Child-Adult Classification from SpeechRimita Lahiri, Manoj Kumar 0007, Somer Bishop, Shrikanth Narayanan. icassp 2020: 6749-6753 [doi]

Speaker-Invariant Affective Representation Learning via Adversarial TrainingHaoQi Li, Ming Tu, Jing Huang 0019, Shrikanth Narayanan, Panayiotis G. Georgiou. icassp 2020: 7144-7148 [doi]

Joint Estimation and Analysis of Risk Behavior Ratings in Movie ScriptsVictor R. Martinez, Krishna Somandepalli, Yalda T. Uhls, Shrikanth Narayanan. emnlp 2020: 4780-4790 [doi]

Speaker Diarization Using Latent Space Clustering in Generative Adversarial NetworkMonisankha Pal, Manoj Kumar 0007, Raghuveer Peri, Tae-Jin Park, So-Hyun Kim, Catherine Lord, Somer Bishop, Shrikanth Narayanan. icassp 2020: 6504-6508 [doi]

Exploiting Conic Affinity Measures to Design Speech Enhancement Systems Operating in Unseen Noise ConditionsPavlos Papadopoulos, Shrikanth Narayanan. interspeech 2020: 4029-4033 [doi]

Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum EigengapTae-Jin Park, Kyu J. Han, Manoj Kumar 0007, Shrikanth Narayanan. spl, 27:381-385, 2020. [doi]

Robust Speaker Recognition Using Unsupervised Adversarial InvarianceRaghuveer Peri, Monisankha Pal, Arindam Jati, Krishna Somandepalli, Shrikanth Narayanan. icassp 2020: 6614-6618 [doi]

An Empirical Analysis of Information Encoded in Disentangled Neural Speaker RepresentationsRaghuveer Peri, HaoQi Li, Krishna Somandepalli, Arindam Jati, Shrikanth Narayanan. odyssey 2020: 194-201 [doi]

The INTERSPEECH 2020 Far-Field Speaker Verification ChallengeXiaoyi Qin, Ming Li, Hui Bu, Wei Rao, Rohan Kumar Das, Shrikanth Narayanan, Haizhou Li 0001. interspeech 2020: 3456-3460 [doi]

Sentence Level Estimation of Psycholinguistic Norms Using Joint Multidimensional AnnotationsAnil Ramakrishna, Shrikanth Narayanan. interspeech 2020: 601-605 [doi]

Multitask Learning for Darpa Lorelei's Situation Frame Extraction TaskKaran Singla, Shrikanth Narayanan. icassp 2020: 8149-8153 [doi]

Towards end-2-end learning for predicting behavior codes from spoken utterances in psychotherapy conversationsKaran Singla, Zhuohao Chen, David C. Atkins, Shrikanth Narayanan. acl 2020: 3797-3803 [doi]

Learning Behavioral Representations from Wearable SensorsNazgol Tavabi, Homa Hosseinmardi, Jennifer L. Villatte, Andrés Abeliuk, Shrikanth Narayanan, Emilio Ferrara, Kristina Lerman. sbp-brims 2020: 245-254 [doi]

Bringing in the Outliers: A Sparse Subspace Clustering Approach to Learn a Dictionary of Mouse Ultrasonic VocalizationsJiaxi Wang, Karel Mundnich, Allison T. Knoll, Pat Levitt, Shrikanth Narayanan. icassp 2020: 3432-3436 [doi]

Affective Conditioning on Hierarchical Attention Networks Applied to Depression Detection from Transcribed Clinical InterviewsDanai Xezonaki, Georgios Paraskevopoulos, Alexandros Potamianos, Shrikanth Narayanan. interspeech 2020: 4556-4560 [doi]

Affect Estimation with Wearable SensorsShen Yan, Homa Hosseinmardi, Hsien-Te Kao, Shrikanth Narayanan, Kristina Lerman, Emilio Ferrara. jhir, 4(3):261-294, 2020. [doi]

2019

Role Specific Lattice Rescoring for Speaker Role Recognition from Speech Recognition OutputsNikolaos Flemotomos, Panayiotis Georgiou, David C. Atkins, Shrikanth Narayanan. icassp 2019: 7330-7334 [doi]

Learning Shared Vector Representations of Lyrics and Chords in MusicTimothy Greer, Karan Singla, Benjamin Ma, Shrikanth Narayanan. icassp 2019: 3951-3955 [doi]

A Multimodal View into Music's Effect on Human Neural, Physiological, and Emotional ExperienceTimothy Greer, Benjamin Ma, Matthew E. Sachs, Assal Habibi, Shrikanth Narayanan. mm 2019: 167-175 [doi]

Robust Speech Activity Detection in Movie Audio: Data Resources and Experimental EvaluationRajat Hebbar, Krishna Somandepalli, Shrikanth Narayanan. icassp 2019: 4105-4109 [doi]

On Role and Location of Normalization before Model-based Data Augmentation in Residual Blocks for Classification TasksChe-Wei Huang, Shrikanth Narayanan. icassp 2019: 3322-3326 [doi]

Predicting Human-Reported Enjoyment Responses in Happy and Sad MusicBenjamin Ma, Timothy Greer, Matthew E. Sachs, Assal Habibi, Jonas T. Kaplan, Shrikanth Narayanan. acii 2019: 607-613 [doi]

Identifying Therapist and Client Personae for Therapeutic Alliance EstimationVictor R. Martinez, Nikolaos Flemotomos, Victor Ardulov, Krishna Somandepalli, Simon B. Goldberg, Zac E. Imel, David C. Atkins, Shrikanth Narayanan. interspeech 2019: 1901-1905 [doi]

Bluetooth Based Indoor Localization Using Triplet EmbeddingsKarel Mundnich, Benjamin Girault, Shrikanth Narayanan. icassp 2019: 7570-7574 [doi]

Modeling Interpersonal Linguistic Coordination in Conversations Using Word Mover's DistanceMd. Nasir, Sandeep Nallan Chakravarthula, Brian R. W. Baucom, David C. Atkins, Panayiotis G. Georgiou, Shrikanth Narayanan. interspeech 2019: 1423-1427 [doi]

Reinforcing Self-expressive Representation with Constraint Propagation for Face Clustering in MoviesKrishna Somandepalli, Shrikanth Narayanan. icassp 2019: 4065-4069 [doi]

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