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ORCIDDorien Herremans
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- affiliation: Singapore University of Technology and Design
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2020 – today
- 2024
[j23]Jaeyong Kang
, Soujanya Poria, Dorien Herremans:
Video2Music: Suitable music generation from videos using an Affective Multimodal Transformer model. Expert Syst. Appl. 249: 123640 (2024)- [c34]Jan Melechovský, Zixun Guo, Deepanway Ghosal, Navonil Majumder, Dorien Herremans, Soujanya Poria:
Mustango: Toward Controllable Text-to-Music Generation. NAACL-HLT 2024: 8293-8316 - [i57]Dinh-Viet-Toan Le, Louis Bigo, Mikaela Keller, Dorien Herremans:
Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: a Survey. CoRR abs/2402.17467 (2024) - [i56]Jan Melechovský, Ambuj Mehrish, Berrak Sisman, Dorien Herremans:
Accent Conversion in Text-To-Speech Using Multi-Level VAE and Adversarial Training. CoRR abs/2406.01018 (2024) - [i55]Jan Melechovský, Abhinaba Roy, Dorien Herremans:
MidiCaps - A large-scale MIDI dataset with text captions. CoRR abs/2406.02255 (2024) - [i54]Jaeyong Kang, Dorien Herremans:
Are we there yet? A brief survey of Music Emotion Prediction Datasets, Models and Outstanding Challenges. CoRR abs/2406.08809 (2024) - [i53]Kyra Wang, Dorien Herremans:
DisfluencySpeech - Single-Speaker Conversational Speech Dataset with Paralanguage. CoRR abs/2406.08820 (2024) - [i52]Jing Luo, Xinyu Yang, Dorien Herremans:
BandControlNet: Parallel Transformers-based Steerable Popular Music Generation with Fine-Grained Spatiotemporal Features. CoRR abs/2407.10462 (2024) - [i51]Perry Lam, Huayun Zhang, Nancy F. Chen, Berrak Sisman, Dorien Herremans:
PRESENT: Zero-Shot Text-to-Prosody Control. CoRR abs/2408.06827 (2024) - [i50]Megan Wei, Mateusz Modrzejewski, Aswin Sivaraman, Dorien Herremans:
Prevailing Research Areas for Music AI in the Era of Foundation Models. CoRR abs/2409.09378 (2024) - 2023
- [j22]Joel Ong, Dorien Herremans:
Constructing time-series momentum portfolios with deep multi-task learning. Expert Syst. Appl. 230: 120587 (2023) - [j21]Yanzhao Zou, Dorien Herremans:
PreBit - A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin. Expert Syst. Appl. 233: 120838 (2023) - [j20]Ha Thi Phuong Thao, Gemma Roig, Dorien Herremans:
EmoMV: Affective music-video correspondence learning datasets for classification and retrieval. Inf. Fusion 91: 64-79 (2023) - [j19]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): 382 (2023) - [c33]Zixun Guo, Jaeyong Kang, Dorien Herremans:
A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling. AAAI 2023: 5070-5077 - [c32]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: 1-5 - [i49]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 abs/2302.00286 (2023) - [i48]Joel Ong, Dorien Herremans:
Constructing Time-Series Momentum Portfolios with Deep Multi-Task Learning. CoRR abs/2306.13661 (2023) - [i47]Jaeyong Kang, Soujanya Poria, Dorien Herremans:
Video2Music: Suitable Music Generation from Videos using an Affective Multimodal Transformer model. CoRR abs/2311.00968 (2023) - 2022
- [j18]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): 3533 (2022) - [c31]Dimos Makris, Zixun Guo, Maximos A. Kaliakatsos-Papakostas, Dorien Herremans:
Conditional Drums Generation Using Compound Word Representations. EvoMUSART 2022: 179-194 - [c30]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: 341-356 - [c29]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: 139-146 - [c28]Jan Melechovský, Ambuj Mehrish, Dorien Herremans, Berrak Sisman:
Learning Accent Representation with Multi-Level VAE Towards Controllable Speech Synthesis. SLT 2022: 928-935 - [i46]Dimos Makris, Zixun Guo, Maximos A. Kaliakatsos-Papakostas, Dorien Herremans:
Conditional Drums Generation using Compound Word Representations. CoRR abs/2202.04464 (2022) - [i45]Rui Guo, Ivor Simpson, Chris Kiefer, Thor Magnusson, Dorien Herremans:
MusIAC: An extensible generative framework for Music Infilling Applications with multi-level Control. CoRR abs/2202.05528 (2022) - [i44]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 abs/2202.10453 (2022) - [i43]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 abs/2203.03022 (2022) - [i42]Kwan Yee Heung, Kin Wai Cheuk, Dorien Herremans:
Understanding Audio Features via Trainable Basis Functions. CoRR abs/2204.11437 (2022) - [i41]Yanzhao Zou, Dorien Herremans:
A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin. CoRR abs/2206.00648 (2022) - [i40]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 abs/2206.10805 (2022) - [i39]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 abs/2210.05148 (2022) - [i38]Jan Melechovský, Ambuj Mehrish, Berrak Sisman, Dorien Herremans:
Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder. CoRR abs/2211.03316 (2022) - [i37]Perry Lam, Huayun Zhang, Nancy F. Chen, Berrak Sisman, Dorien Herremans:
SNIPER Training: Variable Sparsity Rate Training For Text-To-Speech. CoRR abs/2211.07283 (2022) - [i36]Dorien Herremans, Kah Wee Low:
Forecasting Bitcoin volatility spikes from whale transactions and CryptoQuant data using Synthesizer Transformer models. CoRR abs/2211.08281 (2022) - [i35]Zixun Guo, Jaeyong Kang, Dorien Herremans:
A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling. CoRR abs/2212.00973 (2022) - 2021
- [j17]Dorien Herremans:
aiSTROM-A Roadmap for Developing a Successful AI Strategy. IEEE Access 9: 155826-155838 (2021) - [j16]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): 5555 (2021) - [j15]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): 8356 (2021) - [j14]Abigail Lee-Leon, Chau Yuen, Dorien Herremans:
Underwater Acoustic Communication Receiver Using Deep Belief Network. IEEE Trans. Commun. 69(6): 3698-3708 (2021) - [c27]Kin Wai Cheuk, Yin-Jyun Luo, Emmanouil Benetos, Dorien Herremans:
Revisiting the Onsets and Frames Model with Additive Attention. IJCNN 2021: 1-8 - [c26]Zixun Guo, Dimos Makris, Dorien Herremans:
Hierarchical Recurrent Neural Networks for Conditional Melody Generation with Long-term Structure. IJCNN 2021: 1-8 - [c25]Dimos Makris, Kat R. Agres, Dorien Herremans:
Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework. IJCNN 2021: 1-8 - [c24]Kin Wai Cheuk, Dorien Herremans, Li Su:
ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data. ACM Multimedia 2021: 3918-3926 - [c23]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: 125-145 - [e1]Joseph Turian, Björn W. Schuller, Dorien Herremans, Katrin Kirchhoff, L. Paola García-Perera, Philippe Esling:
HEAR: Holistic Evaluation of Audio Representations, Virtual Event, December 13-14, 2021. Proceedings of Machine Learning Research 166, PMLR 2021 [contents] - [i34]Zixun Guo, Dimos Makris, Dorien Herremans:
Hierarchical Recurrent Neural Networks for Conditional Melody Generation with Long-term Structure. CoRR abs/2102.09794 (2021) - [i33]Abigail Lee-Leon, Chau Yuen, Dorien Herremans:
Underwater Acoustic Communication Receiver Using Deep Belief Network. CoRR abs/2102.13397 (2021) - [i32]Kin Wai Cheuk, Yin-Jyun Luo, Emmanouil Benetos, Dorien Herremans:
Revisiting the Onsets and Frames Model with Additive Attention. CoRR abs/2104.06607 (2021) - [i31]Dimos Makris, Kat R. Agres, Dorien Herremans:
Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework. CoRR abs/2104.13056 (2021) - [i30]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 abs/2106.12174 (2021) - [i29]Kin Wai Cheuk, Dorien Herremans, Li Su:
ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data. CoRR abs/2107.04954 (2021) - [i28]Dorien Herremans:
aiSTROM - A roadmap for developing a successful AI strategy. CoRR abs/2107.06071 (2021) - 2020
- [j13]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: 161981-162003 (2020) - [j12]Dorien Herremans, Ching-Hua Chuan:
The emergence of deep learning: new opportunities for music and audio technologies. Neural Comput. Appl. 32(4): 913-914 (2020) - [j11]Ching-Hua Chuan, Kat Agres, Dorien Herremans:
From context to concept: exploring semantic relationships in music with word2vec. Neural Comput. Appl. 32(4): 1023-1036 (2020) - [j10]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): 1037-1050 (2020) - [c22]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: 3277-3281 - [c21]Ha Thi Phuong Thao, Balamurali B. T., Dorien Herremans, Gemma Roig:
AttendAffectNet: Self-Attention based Networks for Predicting Affective Responses from Movies. ICPR 2020: 8719-8726 - [c20]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: 9091-9098 - [c19]Kin Wai Cheuk, Kat Agres, Dorien Herremans:
The Impact of Audio Input Representations on Neural Network based Music Transcription. IJCNN 2020: 1-6 - [c18]Kin Wai Cheuk, Yin-Jyun Luo, Balamurali B. T., Gemma Roig, Dorien Herremans:
Regression-based Music Emotion Prediction using Triplet Neural Networks. IJCNN 2020: 1-7 - [c17]Hao Hao Tan, Dorien Herremans:
Music FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling. ISMIR 2020: 109-116 - [c16]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: 700-707 - [c15]Balamurali B. T., Edwin Jonathan Aslim, Yun Shu Lynn Ng, Tricia Li Chuen Kuo, Jacob Chen Shihang, Dorien Herremans, Lay Guat Ng, Jer-Ming Chen:
Acoustic prediction of flowrate: varying liquid jet stream onto a free surface. SPCOM 2020: 1-5 - [i27]Kin Wai Cheuk, Yin-Jyun Luo, Balamurali B. T., Gemma Roig, Dorien Herremans:
Regression-based music emotion prediction using triplet neural networks. CoRR abs/2001.09988 (2020) - [i26]Kin Wai Cheuk, Kat Agres, Dorien Herremans:
The impact of Audio input representations on neural network based music transcription. CoRR abs/2001.09989 (2020) - [i25]Balamurali B. T., Edwin Jonathan Aslim, Yun Shu Lynn Ng, Tricia Li Chuen Kuo, Jacob Chen Shihang, Dorien Herremans, Lay Guat Ng, Jer-Ming Chen:
Acoustic prediction of flowrate: varying liquid jet stream onto a free surface. CoRR abs/2006.09016 (2020) - [i24]Hao Hao Tan, Yin-Jyun Luo, Dorien Herremans:
Generative Modelling for Controllable Audio Synthesis of Expressive Piano Performance. CoRR abs/2006.09833 (2020) - [i23]Kanish Garg, Ajeet Kumar Singh, Dorien Herremans, Brejesh Lall:
PerceptionGAN: Real-world Image Construction from Provided Text through Perceptual Understanding. CoRR abs/2007.00977 (2020) - [i22]Hao Hao Tan, Dorien Herremans:
Music FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling. CoRR abs/2007.15474 (2020) - [i21]Fajilatun Nahar, Kat Agres, Balamurali B. T., Dorien Herremans:
A dataset and classification model for Malay, Hindi, Tamil and Chinese music. CoRR abs/2009.04459 (2020) - [i20]Rui Guo, Ivor Simpson, Thor Magnusson, Chris Kiefer, Dorien Herremans:
A variational autoencoder for music generation controlled by tonal tension. CoRR abs/2010.06230 (2020) - [i19]Dorien Herremans, Tom Bergmans:
Hit Song Prediction Based on Early Adopter Data and Audio Features. CoRR abs/2010.09489 (2020) - [i18]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 abs/2010.09969 (2020) - [i17]Ha Thi Phuong Thao, Balamurali B. T., Dorien Herremans, Gemma Roig:
AttendAffectNet: Self-Attention based Networks for Predicting Affective Responses from Movies. CoRR abs/2010.11188 (2020)
2010 – 2019
- 2019
- [j9]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: 84229-84241 (2019) - [j8]Dorien Herremans, Elaine Chew:
MorpheuS: Generating Structured Music with Constrained Patterns and Tension. IEEE Trans. Affect. Comput. 10(4): 510-523 (2019) - [c14]Abigail Lee-Leon, Chau Yuen, Dorien Herremans:
Doppler Invariant Demodulation for Shallow Water Acoustic Communications Using Deep Belief Networks. APWCS 2019: 1-5 - [c13]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: 358-364 - [c12]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: 1-4 - [c11]Dorien Herremans, Elaine Chew:
Towards emotion based music generation: A tonal tension model based on the spiral array. CogSci 2019: 52-53 - [c10]Dorien Herremans, Kin Wai Cheuk, Yin-Jyun Luo, Kat Agres:
Untangling indices of emotion in music using neural networks. CogSci 2019: 3476 - [c9]Ha Thi Phuong Thao, Dorien Herremans, Gemma Roig:
Multimodal Deep Models for Predicting Affective Responses Evoked by Movies. ICCV Workshops 2019: 1618-1627 - [c8]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: 746-753 - [c7]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: 1-5 - [i16]Dorien Herremans, David Martens, Kenneth Sörensen:
Dance Hit Song Prediction. CoRR abs/1905.08076 (2019) - [i15]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 abs/1905.12439 (2019) - [i14]Yin-Jyun Luo, Kat Agres, Dorien Herremans:
Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders. CoRR abs/1906.08152 (2019) - [i13]Kat Agres, Simon Lui, Dorien Herremans:
A novel music-based game with motion capture to support cognitive and motor function in the elderly. CoRR abs/1906.10428 (2019) - [i12]Abigail Lee-Leon, Chau Yuen, Dorien Herremans:
Doppler Invariant Demodulation for Shallow Water Acoustic Communications Using Deep Belief Networks. CoRR abs/1909.02850 (2019) - [i11]Ha Thi Phuong Thao, Dorien Herremans, Gemma Roig:
Multimodal Deep Models for Predicting Affective Responses Evoked by Movies. CoRR abs/1909.06957 (2019) - [i10]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 abs/1910.01463 (2019) - [i9]Rui Guo, Dorien Herremans, Thor Magnusson:
Midi Miner - A Python library for tonal tension and track classification. CoRR abs/1910.02049 (2019) - [i8]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 abs/1912.02613 (2019) - [i7]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 abs/1912.12055 (2019) - 2018
- [j7]Nailson dos Santos Cunha, Anand Subramanian, Dorien Herremans:
Generating guitar solos by integer programming. J. Oper. Res. Soc. 69(6): 971-985 (2018) - [c6]Ching-Hua Chuan, Dorien Herremans:
Modeling Temporal Tonal Relations in Polyphonic Music Through Deep Networks With a Novel Image-Based Representation. AAAI 2018: 2159-2166 - [i6]Ching-Hua Chuan, Kat Agres, Dorien Herremans:
From Context to Concept: Exploring Semantic Relationships in Music with Word2Vec. CoRR abs/1811.12408 (2018) - [i5]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 abs/1812.01278 (2018) - [i4]Dorien Herremans, Ching-Hua Chuan, Elaine Chew:
A Functional Taxonomy of Music Generation Systems. CoRR abs/1812.04186 (2018) - [i3]Dorien Herremans, Elaine Chew:
MorpheuS: generating structured music with constrained patterns and tension. CoRR abs/1812.04832 (2018) - 2017
- [j6]Dorien Herremans, Ching-Hua Chuan, Elaine Chew:
A Functional Taxonomy of Music Generation Systems. ACM Comput. Surv. 50(5): 69:1-69:30 (2017) - [j5]Matteo Balliauw, Dorien Herremans, Daniel Palhazi Cuervo, Kenneth Sörensen:
A variable neighborhood search algorithm to generate piano fingerings for polyphonic sheet music. Int. Trans. Oper. Res. 24(3): 509-535 (2017) - [c5]Dorien Herremans, Simin Yang, Ching-Hua Chuan, Mathieu Barthet, Elaine Chew:
IMMA-Emo: A Multimodal Interface for Visualising Score- and Audio-synchronised Emotion Annotations. Audio Mostly Conference 2017: 11:1-11:8 - [c4]Dorien Herremans, Ching-Hua Chuan:
A Multi-modal Platform for Semantic Music Analysis: Visualizing Audio-and Score-Based Tension. ICSC 2017: 419-426 - [i2]Dorien Herremans, Ching-Hua Chuan:
Proceedings of the First International Workshop on Deep Learning and Music. CoRR abs/1706.08675 (2017) - [i1]Dorien Herremans, Ching-Hua Chuan:
Modeling Musical Context with Word2vec. CoRR abs/1706.09088 (2017) - 2016
- [p1]Dorien Herremans, David Martens, Kenneth Sörensen:
Composer Classification Models for Music-Theory Building. Computational Music Analysis 2016: 369-392 - 2015
- [j4]Dorien Herremans:
Compose ≡ compute - Computer generation and classification of music through operations research methods. 4OR 13(3): 335-336 (2015) - [j3]Dorien Herremans, Kenneth Sörensen, David Martens:
Classification and Generation of Composer-Specific Music Using Global Feature Models and Variable Neighborhood Search. Comput. Music. J. 39(3): 71-91 (2015) - [j2]Dorien Herremans, Stéphanie Weisser, Kenneth Sörensen, Darrell Conklin:
Generating structured music for bagana using quality metrics based on Markov models. Expert Syst. Appl. 42(21): 7424-7435 (2015) - [c3]Matteo Balliauw, Dorien Herremans, Daniel Palhazi Cuervo, Kenneth Sörensen:
Generating Fingerings for Polyphonic Piano Music with a Tabu Search Algorithm. MCM 2015: 149-160 - 2014
- [c2]Dorien Herremans, Kenneth Sörensen, Darrell Conklin:
Sampling the extrema from statistical models of music with variable neighbourhood search. ICMC 2014 - 2013
- [j1]Dorien Herremans, Kenneth Sörensen:
Composing fifth species counterpoint music with a variable neighborhood search algorithm. Expert Syst. Appl. 40(16): 6427-6437 (2013) - [c1]Dorien Herremans, Kenneth Sörensen:
FuX, an Android app that generates counterpoint. CICAC 2013: 48-55
Coauthor Index
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