Shahin Amiriparian

About Shahin Amiriparian

Shahin Amiriparian, With an exceptional h-index of 25 and a recent h-index of 24 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Deep Learning, Signal Processing, Affective Computing, Digital Health.

His recent articles reflect a diverse array of research interests and contributions to the field:

Enhancing Suicide Risk Assessment: A Speech-Based Automated Approach in Emergency Medicine

Validation of Machine Learning-Based Assessment of Major Depressive Disorder from Paralinguistic Speech Characteristics in Routine Care

Zero-shot personalization of speech foundation models for depressed mood monitoring

The muse 2023 multimodal sentiment analysis challenge: Mimicked emotions, cross-cultural humour, and personalisation

Computational charisma—a brick by brick blueprint for building charismatic artificial intelligence

Personalised Speech-Based Heart Rate Categorisation Using Weighted-Instance Learning

Muse 2023 challenge: Multimodal prediction of mimicked emotions, cross-cultural humour, and personalised recognition of affects

The acm multimedia 2023 computational paralinguistics challenge: Emotion share & requests

Shahin Amiriparian Information

University

Position

Universität Augsburg

Citations(all)

2832

Citations(since 2020)

2600

Cited By

1086

hIndex(all)

25

hIndex(since 2020)

24

i10Index(all)

46

i10Index(since 2020)

46

Email

University Profile Page

Google Scholar

Shahin Amiriparian Skills & Research Interests

Deep Learning

Signal Processing

Affective Computing

Digital Health

Top articles of Shahin Amiriparian

Enhancing Suicide Risk Assessment: A Speech-Based Automated Approach in Emergency Medicine

arXiv preprint arXiv:2404.12132

2024/4/18

Validation of Machine Learning-Based Assessment of Major Depressive Disorder from Paralinguistic Speech Characteristics in Routine Care

Depression and Anxiety

2024/4/9

Zero-shot personalization of speech foundation models for depressed mood monitoring

Patterns

2023/11/10

The muse 2023 multimodal sentiment analysis challenge: Mimicked emotions, cross-cultural humour, and personalisation

2023/11/2

Computational charisma—a brick by brick blueprint for building charismatic artificial intelligence

2023/11/2

Personalised Speech-Based Heart Rate Categorisation Using Weighted-Instance Learning

2023/10/29

Shahin Amiriparian
Shahin Amiriparian

H-Index: 17

Maurice Gerczuk
Maurice Gerczuk

H-Index: 8

Muse 2023 challenge: Multimodal prediction of mimicked emotions, cross-cultural humour, and personalised recognition of affects

2023/10/26

The acm multimedia 2023 computational paralinguistics challenge: Emotion share & requests

2023/10/26

COLD fusion: Calibrated and ordinal latent distribution fusion for uncertainty-aware multimodal emotion recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

2023/10/18

Shahin Amiriparian
Shahin Amiriparian

H-Index: 17

HEAR4Health: a blueprint for making computer audition a staple of modern healthcare

2023/9/12

Improving question answering performance using knowledge distillation and active learning

Engineering Applications of Artificial Intelligence

2023/8/1

Yasaman Boreshban
Yasaman Boreshban

H-Index: 1

Shahin Amiriparian
Shahin Amiriparian

H-Index: 17

Universal Lesion Detection Utilising Cascading R-CNNs and a Novel Video Pretraining Method

2023/7/24

Shahin Amiriparian
Shahin Amiriparian

H-Index: 17

Maurice Gerczuk
Maurice Gerczuk

H-Index: 8

Noise Robust Recognition of Depression Status and Treatment Response from Speech via Unsupervised Feature Aggregation

2023/7/24

METEOR Guided Divergence for Video Captioning

2023/6/18

Shahin Amiriparian
Shahin Amiriparian

H-Index: 17

Classification of stuttering–The ComParE challenge and beyond

Computer Speech & Language

2023/6/1

Executive Voiced Laughter and Social Approval: An Explorative Machine Learning Study

arXiv preprint arXiv:2305.09485

2023/5/16

Guest editorial: special issue on affective speech and language synthesis, generation, and conversion

IEEE Transactions on Affective Computing

2023/2/28

Shahin Amiriparian
Shahin Amiriparian

H-Index: 17

Nabiha Asghar
Nabiha Asghar

H-Index: 7

Speech-Based Classification of Defensive Communication: A Novel Dataset and Results

2023

Shahin Amiriparian
Shahin Amiriparian

H-Index: 17

Maurice Gerczuk
Maurice Gerczuk

H-Index: 8

Personalised deep learning for monitoring depressed mood from speech

2022/11/17

See List of Professors in Shahin Amiriparian University(Technische Universität München)

Co-Authors

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