Search Results - "Herremans, Dorien"

aiSTROM-A Roadmap for Developing a Successful AI Strategy by Herremans, Dorien

“…A total of 34% of AI research and development projects fail or are abandoned, according to a recent survey by Rackspace Technology of 1,870 companies. In this…”
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nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks by Cheuk, Kin Wai, Anderson, Hans, Agres, Kat, Herremans, Dorien

“…In this paper, we present nnAudio, a new neural network-based audio processing framework with graphics processing unit (GPU) support that leverages 1D…”
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From context to concept: exploring semantic relationships in music with word2vec by Chuan, Ching-Hua, Agres, Kat, Herremans, Dorien

“…We explore the potential of a popular distributional semantics vector space model, word2vec , for capturing meaningful relationships in ecological (complex…”
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AttendAffectNet-Emotion Prediction of Movie Viewers Using Multimodal Fusion with Self-Attention by Thao, Ha Thi Phuong, Balamurali, B T, Roig, Gemma, Herremans, Dorien

“…In this paper, we tackle the problem of predicting the affective responses of movie viewers, based on the content of the movies. Current studies on this topic…”
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MERP: A Music Dataset with Emotion Ratings and Raters' Profile Information by Koh, En Yan, Cheuk, Kin Wai, Heung, Kwan Yee, Agres, Kat R, Herremans, Dorien

“…Music is capable of conveying many emotions. The level and type of emotion of the music perceived by a listener, however, is highly subjective. In this study,…”
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The emergence of deep learning: new opportunities for music and audio technologies by Herremans, Dorien, Chuan, Ching-Hua

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Singing voice separation using a deep convolutional neural network trained by ideal binary mask and cross entropy by Lin, Kin Wah Edward, Balamurali, B. T., Koh, Enyan, Lui, Simon, Herremans, Dorien

“…Separating a singing voice from its music accompaniment remains an important challenge in the field of music information retrieval. We present a unique neural…”
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Toward Robust Audio Spoofing Detection: A Detailed Comparison of Traditional and Learned Features by Balamurali, B. T., Lin, Kinwah Edward, Lui, Simon, Chen, Jer-Ming, Herremans, Dorien

“…Automatic speaker verification, such as every other biometric system, is vulnerable to spoofing attacks. Using only a few minutes of recorded voice from a…”
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Deep Neural Network-Based Respiratory Pathology Classification Using Cough Sounds by Balamurali, B T, Hee, Hwan Ing, Kapoor, Saumitra, Teoh, Oon Hoe, Teng, Sung Shin, Lee, Khai Pin, Herremans, Dorien, Chen, Jer Ming

“…Intelligent systems are transforming the world, as well as our healthcare system. We propose a deep learning-based cough sound classification model that can…”
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Single Image Video Prediction with Auto-Regressive GANs by Huang, Jiahui, Chia, Yew Ken, Yu, Samson, Yee, Kevin, Küster, Dennis, Krumhuber, Eva G, Herremans, Dorien, Roig, Gemma

“…In this paper, we introduce an approach for future frames prediction based on a single input image. Our method is able to generate an entire video sequence…”
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A Novel Interface for the Graphical Analysis of Music Practice Behaviors by Sokolovskis, Janis, Herremans, Dorien, Chew, Elaine

“…Practice is an essential part of music training, but critical content-based analyses of practice behaviors still lack tools for conveying informative…”
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Music, Computing, and Health: A Roadmap for the Current and Future Roles of Music Technology for Health Care and Well-Being by Agres, Kat R., Schaefer, Rebecca S., Volk, Anja, van Hooren, Susan, Holzapfel, Andre, Dalla Bella, Simone, Müller, Meinard, de Witte, Martina, Herremans, Dorien, Ramirez Melendez, Rafael, Neerincx, Mark, Ruiz, Sebastian, Meredith, David, Dimitriadis, Theo, Magee, Wendy L.

“…The fields of music, health, and technology have seen significant interactions in recent years in developing music technology for health care and well-being…”
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A variable neighborhood search algorithm to generate piano fingerings for polyphonic sheet music by Balliauw, Matteo, Herremans, Dorien, Palhazi Cuervo, Daniel, Sörensen, Kenneth

“…A piano fingering indicates which finger should play each note in a piece. Such a guideline is very helpful for both amateur and experienced players in order…”
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Development of Machine Learning for Asthmatic and Healthy Voluntary Cough Sounds: A Proof of Concept Study by Hee, Hwan Ing, Balamurali, BT, Karunakaran, Arivazhagan, Herremans, Dorien, Teoh, Onn Hoe, Lee, Khai Pin, Teng, Sung Shin, Lui, Simon, Chen, Jer Ming

“…(1) Background: Cough is a major presentation in childhood asthma. Here, we aim to develop a machine-learning based cough sound classifier for asthmatic and…”
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PreBit — A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin by Zou, Yanzhao, Herremans, Dorien

“…Bitcoin, with its ever-growing popularity, has demonstrated extreme price volatility since its origin. Extreme price fluctuations have been known to occur due…”
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Constructing time-series momentum portfolios with deep multi-task learning by Ong, Joel, Herremans, Dorien

“…A diversified risk-adjusted time-series momentum (TSMOM) portfolio can deliver substantial abnormal returns and offer some degree of tail risk protection…”
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MorpheuS: Generating Structured Music with Constrained Patterns and Tension by Herremans, Dorien, Chew, Elaine

“…Automatic music generation systems have gained in popularity and sophistication as advances in cloud computing have enabled large-scale complex computations…”
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Video2Music: Suitable music generation from videos using an Affective Multimodal Transformer model by Kang, Jaeyong, Poria, Soujanya, Herremans, Dorien

“…Numerous studies in the field of music generation have demonstrated impressive performance, yet virtually no models are able to directly generate music to…”
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Underwater Acoustic Communication Receiver Using Deep Belief Network by Lee-Leon, Abigail, Yuen, Chau, Herremans, Dorien

“…Underwater environments create a challenging channel for communications. In this paper, we design a novel receiver system by exploring the machine learning…”
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Regression-based Music Emotion Prediction using Triplet Neural Networks by Cheuk, Kin Wai, Luo, Yin-Jyun, Balamurali, B T, Roig, Gemma, Herremans, Dorien

“…In this paper, we adapt triplet neural networks (TNNs) to a regression task, music emotion prediction. Since TNNs were initially introduced for classification,…”
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