Dorien Herremans

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 105

Top Venues

Publications

Jan Melechovský, Zixun Guo, Deepanway Ghosal, Navonil Majumder, Dorien Herremans, Soujanya Poria
Mustango: Toward Controllable Text-to-Music Generation. NAACL-HLT (2024)
Dinh-Viet-Toan Le, Louis Bigo, Mikaela Keller, Dorien Herremans
Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: a Survey. CoRR (2024)
Jaeyong Kang, Dorien Herremans
Are we there yet? A brief survey of Music Emotion Prediction Datasets, Models and Outstanding Challenges. CoRR (2024)
Jing Luo, Xinyu Yang, Dorien Herremans
BandControlNet: Parallel Transformers-based Steerable Popular Music Generation with Fine-Grained Spatiotemporal Features. CoRR (2024)
Jan Melechovský, Ambuj Mehrish, Berrak Sisman, Dorien Herremans
Accent Conversion in Text-To-Speech Using Multi-Level VAE and Adversarial Training. CoRR (2024)
Jaeyong Kang, Soujanya Poria, Dorien Herremans
Video2Music: Suitable music generation from videos using an Affective Multimodal Transformer model. Expert Syst. Appl. 249 (2024)
Kyra Wang, Dorien Herremans
DisfluencySpeech - Single-Speaker Conversational Speech Dataset with Paralanguage. CoRR (2024)
Jan Melechovský, Abhinaba Roy, Dorien Herremans
MidiCaps - A large-scale MIDI dataset with text captions. CoRR (2024)
Kin Wai Cheuk, Keunwoo Choi, Qiuqiang Kong, Bochen Li, Minz Won, Ju-Chiang Wang, Yun-Ning Hung, Dorien Herremans
Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training. CoRR (2023)
Joel Ong, Dorien Herremans
Constructing Time-Series Momentum Portfolios with Deep Multi-Task Learning. CoRR (2023)
Yanzhao Zou, Dorien Herremans
PreBit - A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin. Expert Syst. Appl. 233 (2023)
Kin Wai Cheuk, Ryosuke Sawata, Toshimitsu Uesaka, Naoki Murata, Naoya Takahashi, Shusuke Takahashi, Dorien Herremans, Yuki Mitsufuji
Diffroll: Diffusion-Based Generative Music Transcription with Unsupervised Pretraining Capability. ICASSP (2023)
Enyan Koh, Kin Wai Cheuk, Kwan Yee Heung, Kat R. Agres, Dorien Herremans
MERP: A Music Dataset with Emotion Ratings and Raters' Profile Information. Sensors 23 (1) (2023)
Jaeyong Kang, Soujanya Poria, Dorien Herremans
Video2Music: Suitable Music Generation from Videos using an Affective Multimodal Transformer model. CoRR (2023)
Zixun Guo, Jaeyong Kang, Dorien Herremans
A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling. AAAI (2023)
Ha Thi Phuong Thao, Gemma Roig, Dorien Herremans
EmoMV: Affective music-video correspondence learning datasets for classification and retrieval. Inf. Fusion 91 (2023)
Joel Ong, Dorien Herremans
Constructing time-series momentum portfolios with deep multi-task learning. Expert Syst. Appl. 230 (2023)
Kwan Yee Heung, Kin Wai Cheuk, Dorien Herremans
Understanding Audio Features via Trainable Basis Functions. CoRR (2022)
Dimos Makris, Zixun Guo, Maximos A. Kaliakatsos-Papakostas, Dorien Herremans
Conditional Drums Generation using Compound Word Representations. CoRR (2022)
Perry Lam, Huayun Zhang, Nancy F. Chen, Berrak Sisman, Dorien Herremans
SNIPER Training: Variable Sparsity Rate Training For Text-To-Speech. CoRR (2022)
Jiahui Huang, Yew Ken Chia, Samson Yu, Kevin Yee, Dennis Küster, Eva Krumhuber, Dorien Herremans, Gemma Roig
Single Image Video Prediction with Auto-Regressive GANs. Sensors 22 (9) (2022)
Yanzhao Zou, Dorien Herremans
A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin. CoRR (2022)
Zixun Guo, Jaeyong Kang, Dorien Herremans
A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling. CoRR (2022)
Dimos Makris, Zixun Guo, Maximos A. Kaliakatsos-Papakostas, Dorien Herremans
Conditional Drums Generation Using Compound Word Representations. EvoMUSART (2022)
Dorien Herremans, Kah Wee Low
Forecasting Bitcoin volatility spikes from whale transactions and CryptoQuant data using Synthesizer Transformer models. CoRR (2022)
Kin Wai Cheuk, Ryosuke Sawata, Toshimitsu Uesaka, Naoki Murata, Naoya Takahashi, Shusuke Takahashi, Dorien Herremans, Yuki Mitsufuji
DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability. CoRR (2022)
Rui Guo, Ivor Simpson, Chris Kiefer, Thor Magnusson, Dorien Herremans
MusIAC: An extensible generative framework for Music Infilling Applications with multi-level Control. CoRR (2022)
Kin Wai Cheuk, Keunwoo Choi, Qiuqiang Kong, Bochen Li, Minz Won, Amy Hung, Ju-Chiang Wang, Dorien Herremans
Jointist: Joint Learning for Multi-instrument Transcription and Its Applications. CoRR (2022)
Rui Guo, Ivor Simpson, Chris Kiefer, Thor Magnusson, Dorien Herremans
MusIAC: An Extensible Generative Framework for Music Infilling Applications with Multi-level Control. EvoMUSART (2022)
Jan Melechovský, Ambuj Mehrish, Dorien Herremans, Berrak Sisman
Learning Accent Representation with Multi-Level VAE Towards Controllable Speech Synthesis. SLT (2022)
Phoebe Chua, Dimos Makris, Dorien Herremans, Gemma Roig, Kat Agres
Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responses. CoRR (2022)
Christopher Johann Clarke, Jatin Chowdhury, Cindy Ming Ying Lin, Ivan Fu Xing Tan, Prachee Priyadarshinee, Balamurali B. T., Dorien Herremans, Jer-Ming Chen
Computationally efficient physics approximating neural networks for highly nonlinear maps. RACS (2022)
Joseph Turian, Jordie Shier, Humair Raj Khan, Bhiksha Raj, Björn W. Schuller, Christian J. Steinmetz, Colin Malloy, George Tzanetakis, Gissel Velarde, Kirk McNally, Max Henry, Nicolas Pinto, Camille Noufi, Christian Clough, Dorien Herremans, Eduardo Fonseca, Jesse H. Engel, Justin Salamon, Philippe Esling, Pranay Manocha, Shinji Watanabe, Zeyu Jin, Yonatan Bisk
HEAR 2021: Holistic Evaluation of Audio Representations. CoRR (2022)
Jan Melechovský, Ambuj Mehrish, Berrak Sisman, Dorien Herremans
Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder. CoRR (2022)
Kin Wai Cheuk, Yin-Jyun Luo, Emmanouil Benetos, Dorien Herremans
Revisiting the Onsets and Frames Model with Additive Attention. IJCNN (2021)
Kin Wai Cheuk, Yin-Jyun Luo, Emmanouil Benetos, Dorien Herremans
Revisiting the Onsets and Frames Model with Additive Attention. CoRR (2021)
Zixun Guo, Dimos Makris, Dorien Herremans
Hierarchical Recurrent Neural Networks for Conditional Melody Generation with Long-term Structure. CoRR (2021)
Zixun Guo, Dimos Makris, Dorien Herremans
Hierarchical Recurrent Neural Networks for Conditional Melody Generation with Long-term Structure. IJCNN (2021)
Kin Wai Cheuk, Dorien Herremans, Li Su
ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data. CoRR (2021)
Dimos Makris, Kat R. Agres, Dorien Herremans
Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework. CoRR (2021)
Dorien Herremans
aiSTROM - A roadmap for developing a successful AI strategy. CoRR (2021)
Joseph Turian, Jordie Shier, Humair Raj Khan, Bhiksha Raj, Björn W. Schuller, Christian J. Steinmetz, Colin Malloy, George Tzanetakis, Gissel Velarde, Kirk McNally, Max Henry, Nicolas Pinto, Camille Noufi, Christian Clough, Dorien Herremans, Eduardo Fonseca, Jesse H. Engel, Justin Salamon, Philippe Esling, Pranay Manocha, Shinji Watanabe, Zeyu Jin, Yonatan Bisk
HEAR: Holistic Evaluation of Audio Representations. NeurIPS (Competition and Demos) (2021)
Abigail Lee-Leon, Chau Yuen, Dorien Herremans
Underwater Acoustic Communication Receiver Using Deep Belief Network. IEEE Trans. Commun. 69 (6) (2021)
Dorien Herremans
aiSTROM-A Roadmap for Developing a Successful AI Strategy. IEEE Access 9 (2021)
Balamurali B. T., Hwan Ing Hee, Saumitra Kapoor, Oon Hoe Teoh, Sung Shin Teng, Khai Pin Lee, Dorien Herremans, Jer-Ming Chen
Deep Neural Network-Based Respiratory Pathology Classification Using Cough Sounds. Sensors 21 (16) (2021)
Balamurali B. T., Hwan Ing Hee, Saumitra Kapoor, Oon Hoe Teoh, Sung Shin Teng, Khai Pin Lee, Dorien Herremans, Jer-Ming Chen
Deep Neural Network Based Respiratory Pathology Classification Using Cough Sounds. CoRR (2021)
Dimos Makris, Kat R. Agres, Dorien Herremans
Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework. IJCNN (2021)
Kin Wai Cheuk, Dorien Herremans, Li Su
ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data. ACM Multimedia (2021)
Ha Thi Phuong Thao, Balamurali B. T., Gemma Roig, Dorien Herremans
AttendAffectNet-Emotion Prediction of Movie Viewers Using Multimodal Fusion with Self-Attention. Sensors 21 (24) (2021)
Abigail Lee-Leon, Chau Yuen, Dorien Herremans
Underwater Acoustic Communication Receiver Using Deep Belief Network. CoRR (2021)
Dorien Herremans, Ching-Hua Chuan
The emergence of deep learning: new opportunities for music and audio technologies. Neural Comput. Appl. 32 (4) (2020)
Kin Wai Cheuk, Kat Agres, Dorien Herremans
The impact of Audio input representations on neural network based music transcription. CoRR (2020)
Rui Guo, Ivor Simpson, Thor Magnusson, Chris Kiefer, Dorien Herremans
A variational autoencoder for music generation controlled by tonal tension. CoRR (2020)
Yin-Jyun Luo, Kin Wai Cheuk, Tomoyasu Nakano, Masataka Goto, Dorien Herremans
Unsupervised Disentanglement of Pitch and Timbre for Isolated Musical Instrument Sounds. ISMIR (2020)
Ha Thi Phuong Thao, Balamurali B. T., Dorien Herremans, Gemma Roig
AttendAffectNet: Self-Attention based Networks for Predicting Affective Responses from Movies. CoRR (2020)
Kin Wai Cheuk, Yin-Jyun Luo, Balamurali B. T., Gemma Roig, Dorien Herremans
Regression-based Music Emotion Prediction using Triplet Neural Networks. IJCNN (2020)
Ha Thi Phuong Thao, Balamurali B. T., Dorien Herremans, Gemma Roig
AttendAffectNet: Self-Attention based Networks for Predicting Affective Responses from Movies. ICPR (2020)
Yin-Jyun Luo, Chin-Cheng Hsu, Kat Agres, Dorien Herremans
Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders. ICASSP (2020)
Kanish Garg, Ajeet Kumar Singh, Dorien Herremans, Brejesh Lall
PerceptionGAN: Real-world Image Construction from Provided Text through Perceptual Understanding. CoRR (2020)
Hao Hao Tan, Dorien Herremans
Music FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling. ISMIR (2020)
Kin Wai Cheuk, Hans Anderson, Kat Agres, Dorien Herremans
nnAudio: An on-the-Fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks. IEEE Access 8 (2020)
Dorien Herremans, Tom Bergmans
Hit Song Prediction Based on Early Adopter Data and Audio Features. CoRR (2020)
Balamurali B. T., Edwin Jonathan Aslim, Yun Shu Lynn Ng, Tricia Li Chuen Kuo, Jacob Shihang Chen, Dorien Herremans, Lay Guat Ng, Jer-Ming Chen
Acoustic prediction of flowrate: varying liquid jet stream onto a free surface. SPCOM (2020)
Kin Wai Cheuk, Kat Agres, Dorien Herremans
The Impact of Audio Input Representations on Neural Network based Music Transcription. IJCNN (2020)
Kin Wah Edward Lin, Balamurali B. T., Enyan Koh, Simon Lui, Dorien Herremans
Singing voice separation using a deep convolutional neural network trained by ideal binary mask and cross entropy. Neural Comput. Appl. 32 (4) (2020)
Balamurali B. T., Edwin Jonathan Aslim, Yun Shu Lynn Ng, Tricia Li Chuen Kuo, Jacob Shihang Chen, Dorien Herremans, Lay Guat Ng, Jer-Ming Chen
Acoustic prediction of flowrate: varying liquid jet stream onto a free surface. CoRR (2020)
Kin Wai Cheuk, Yin-Jyun Luo, Emmanouil Benetos, Dorien Herremans
The Effect of Spectrogram Reconstruction on Automatic Music Transcription: An Alternative Approach to Improve Transcription Accuracy. ICPR (2020)
Kin Wai Cheuk, Yin-Jyun Luo, Balamurali B. T., Gemma Roig, Dorien Herremans
Regression-based music emotion prediction using triplet neural networks. CoRR (2020)
Hao Hao Tan, Dorien Herremans
Music FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling. CoRR (2020)
Hao Hao Tan, Yin-Jyun Luo, Dorien Herremans
Generative Modelling for Controllable Audio Synthesis of Expressive Piano Performance. CoRR (2020)
Kin Wai Cheuk, Yin-Jyun Luo, Emmanouil Benetos, Dorien Herremans
The Effect of Spectrogram Reconstruction on Automatic Music Transcription: An Alternative Approach to Improve Transcription Accuracy. CoRR (2020)
Ching-Hua Chuan, Kat Agres, Dorien Herremans
From context to concept: exploring semantic relationships in music with word2vec. Neural Comput. Appl. 32 (4) (2020)
Fajilatun Nahar, Kat Agres, Balamurali B. T., Dorien Herremans
A dataset and classification model for Malay, Hindi, Tamil and Chinese music. CoRR (2020)
Dorien Herremans, Elaine Chew
MorpheuS: Generating Structured Music with Constrained Patterns and Tension. IEEE Trans. Affect. Comput. 10 (4) (2019)
Balamurali B. T., Kin Wah Edward Lin, Simon Lui, Jer-Ming Chen, Dorien Herremans
Toward Robust Audio Spoofing Detection: A Detailed Comparison of Traditional and Learned Features. IEEE Access 7 (2019)
Rui Guo, Dorien Herremans, Thor Magnusson
Midi Miner - A Python library for tonal tension and track classification. CoRR (2019)
Yin-Jyun Luo, Kat Agres, Dorien Herremans
Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders. CoRR (2019)
Kin Wai Cheuk, Balamurali B. T., Gemma Roig, Dorien Herremans
Latent Space Representation for Multi-Target Speaker Detection and Identification with a Sparse Dataset Using Triplet Neural Networks. ASRU (2019)
Kin Wai Cheuk, Hans Anderson, Kat Agres, Dorien Herremans
nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolution Neural Networks. CoRR (2019)
Balamurali B. T., Kin Wah Edward Lin, Simon Lui, Jer-Ming Chen, Dorien Herremans
Towards robust audio spoofing detection: a detailed comparison of traditional and learned features. CoRR (2019)
Kat Agres, Simon Lui, Dorien Herremans
A novel music-based game with motion capture to support cognitive and motor function in the elderly. CoG (2019)
Kin Wai Cheuk, Balamurali B. T., Gemma Roig, Dorien Herremans
Latent space representation for multi-target speaker detection and identification with a sparse dataset using Triplet neural networks. CoRR (2019)
Abigail Lee-Leon, Chau Yuen, Dorien Herremans
Doppler Invariant Demodulation for Shallow Water Acoustic Communications Using Deep Belief Networks. APWCS (2019)
Kat Agres, Simon Lui, Dorien Herremans
A novel music-based game with motion capture to support cognitive and motor function in the elderly. CoRR (2019)
Dorien Herremans, Kin Wai Cheuk, Yin-Jyun Luo, Kat Agres
Untangling indices of emotion in music using neural networks. CogSci (2019)
Abigail Lee-Leon, Chau Yuen, Dorien Herremans
Doppler Invariant Demodulation for Shallow Water Acoustic Communications Using Deep Belief Networks. CoRR (2019)
Abigail Lee-Leon, Chau Yuen, Dorien Herremans
A Hybrid Fuzzy Logic-Neural Network Approach for Multi-Path Separation of Underwater Acoustic Signals. VTC Spring (2019)
Ha Thi Phuong Thao, Dorien Herremans, Gemma Roig
Multimodal Deep Models for Predicting Affective Responses Evoked by Movies. CoRR (2019)
Dorien Herremans, David Martens, Kenneth Sörensen
Dance Hit Song Prediction. CoRR (2019)
Dorien Herremans, Elaine Chew
Towards emotion based music generation: A tonal tension model based on the spiral array. CogSci (2019)
Ha Thi Phuong Thao, Dorien Herremans, Gemma Roig
Multimodal Deep Models for Predicting Affective Responses Evoked by Movies. ICCV Workshops (2019)
Yin-Jyun Luo, Kat Agres, Dorien Herremans
Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders. ISMIR (2019)
Yin-Jyun Luo, Chin-Chen Hsu, Kat Agres, Dorien Herremans
Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders. CoRR (2019)
Ching-Hua Chuan, Dorien Herremans
Modeling Temporal Tonal Relations in Polyphonic Music Through Deep Networks With a Novel Image-Based Representation. AAAI (2018)
Ching-Hua Chuan, Kat Agres, Dorien Herremans
From Context to Concept: Exploring Semantic Relationships in Music with Word2Vec. CoRR (2018)
Dorien Herremans, Elaine Chew
MorpheuS: generating structured music with constrained patterns and tension. CoRR (2018)
Kin Wah Edward Lin, Balamurali B. T., Enyan Koh, Simon Lui, Dorien Herremans
Singing Voice Separation Using a Deep Convolutional Neural Network Trained by Ideal Binary Mask and Cross Entropy. CoRR (2018)
Nailson dos Santos Cunha, Anand Subramanian, Dorien Herremans
Generating guitar solos by integer programming. J. Oper. Res. Soc. 69 (6) (2018)
Dorien Herremans, Ching-Hua Chuan, Elaine Chew
A Functional Taxonomy of Music Generation Systems. CoRR (2018)
Dorien Herremans, Ching-Hua Chuan
Proceedings of the First International Workshop on Deep Learning and Music. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dorien Herremans