Dorien Herremans

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Assistant Professor

Singapore University of Technology and Design

Singapore

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About

Dorien Herremans is an Assistant Professor at the Singapore University of Technology and Design in Singapore. Her research areas include natural language processing methods for music generation, Bitcoin volatility forecasting, and deep learning applications in multi-modal datasets. She has authored several recent articles exploring topics such as symbolic music infilling, music-video correspondence learning, and respiratory pathology classification.

Recent Grants

Grant: Close

Project Coriolis: multi-modal interaction research and simulator development

Open Date: 2020-03-01

Close Date: 2022-03-01

Grant: Close

Dual-language Intervention in Semantic memory – Computerized (DISC)

Open Date: 2018-12-01

Close Date: 2019-05-01

Grant: Close

An Augmented Reality Game for Climate Change Awareness

Open Date: 2018-11-01

Close Date: 2019-02-01

Grant: Close

The development of an interactive game-based application for speech practice

Open Date: 2018-11-01

Close Date: 2019-11-01

Grant: Close

GPU server for Artificial Intelligence Research and Applications in Affective Computing

Open Date: 2018-06-01

Close Date: 2019-06-01

Articles (15)

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2025

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2021

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2021

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2021

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2021

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2021

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2021

Collaborators (9)

Kathleen Agres

Assistant Professor

National University of Singapore (NUS)

SINGAPORE

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Rafael Ramirez-Melendez

Associate Professor

Universitat Pompeu Fabra

SPAIN

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Jer-Ming Chen

SINGAPORE

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David Meredith

Aalborg University

DENMARK

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Soujanya Poria

Singapore University of Technology and Design

SINGAPORE

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Lucienne Blessing

Adjunct Professor

Singapore University of Technology and Design

SINGAPORE

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Gemma Roig

Full Professor

Goethe University Frankfurt

GERMANY

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Eva G. Krumhuber

University College London

UNITED KINGDOM

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Rebecca Schaefer

Associate professor

Leiden University

NETHERLANDS

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Dorien Herremans

Research Interests

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About

Recent Grants

Articles (15)

Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: A Survey

An Exploration of Controllability in Symbolic Music Infilling

Forecasting Bitcoin Volatility Spikes From Whale Transactions and CryptoQuant Data Using Synthesizer Transformer Models

Video2Music: Suitable music generation from videos using an Affective Multimodal Transformer model

PreBit — A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin

Constructing time-series momentum portfolios with deep multi-task learning

EmoMV: Affective music-video correspondence learning datasets for classification and retrieval

Single Image Video Prediction with Auto-Regressive GANs

MERP: A Music Dataset with Emotion Ratings and Raters’ Profile Information

AttendAffectNet–Emotion Prediction of Movie Viewers Using Multimodal Fusion with Self-Attention

Evaluating the Effectiveness of an Augmented Reality Game Promoting Environmental Action

Deep Neural Network Based Respiratory Pathology Classification Using Cough Sounds

Underwater Acoustic Communication Receiver Using Deep Belief Network

Music, Computing, and Health: A Roadmap for the Current and Future Roles of Music Technology for Health Care and Well-Being

Deep Neural Network Based Respiratory Pathology Classification Using Cough Sounds

Collaborators (9)

Kathleen Agres

Rafael Ramirez-Melendez

Jer-Ming Chen

David Meredith

Soujanya Poria

Lucienne Blessing

Gemma Roig

Eva G. Krumhuber

Rebecca Schaefer

Make your next move.

Dorien Herremans

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (15)

Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: A Survey

An Exploration of Controllability in Symbolic Music Infilling

Forecasting Bitcoin Volatility Spikes From Whale Transactions and CryptoQuant Data Using Synthesizer Transformer Models

Video2Music: Suitable music generation from videos using an Affective Multimodal Transformer model

PreBit — A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin

Constructing time-series momentum portfolios with deep multi-task learning

EmoMV: Affective music-video correspondence learning datasets for classification and retrieval

Single Image Video Prediction with Auto-Regressive GANs

MERP: A Music Dataset with Emotion Ratings and Raters’ Profile Information

AttendAffectNet&ndash;Emotion Prediction of Movie Viewers Using Multimodal Fusion with Self-Attention

Evaluating the Effectiveness of an Augmented Reality Game Promoting Environmental Action

Deep Neural Network Based Respiratory Pathology Classification Using Cough Sounds

Underwater Acoustic Communication Receiver Using Deep Belief Network

Music, Computing, and Health: A Roadmap for the Current and Future Roles of Music Technology for Health Care and Well-Being

Deep Neural Network Based Respiratory Pathology Classification Using Cough Sounds

Collaborators (9)

Kathleen Agres

Rafael Ramirez-Melendez

Jer-Ming Chen

David Meredith

Soujanya Poria

Lucienne Blessing

Gemma Roig

Eva G. Krumhuber

Rebecca Schaefer

Make your next move.

AttendAffectNet–Emotion Prediction of Movie Viewers Using Multimodal Fusion with Self-Attention