Searched for: author%3A%22Liem%2C+C.C.S.%22
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Liem, C.C.S. (author), Hanjalic, A. (author)
The Cover Song Retrieval (CSR) problem has received considerable attention in the MIREX 2006-2008 evaluation sessions. While the reported performance figures provide a general idea about the strengths of the submitted systems, it is not clear what actually causes the reported performance of a certain system. In other words, the question...
conference paper 2009
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Melenhorst, M.S. (author), Van der Sterren, R. (author), Arzt, A. (author), Martorell, A. (author), Liem, C.C.S. (author)
This demonstration paper describes a tablet application that is developed to make classical concerts more accessible and more enjoyable for a broader audience. The app offers interactive visualizations of a symphony’s instrumentation and its score. It also offers timed background information about the piece, the composer, and the historical...
conference paper 2015
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Liem, C.C.S. (author)
In the digital domain, music is usually studied from a positivist viewpoint, focusing on general ‘objective’ music descriptors. In this work, we strive to put music in a more social and cultural context, looking into ways to unify data analysis methods with thoughts from the humanities on musical meaning and significance. More specifically, we...
conference paper 2015
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Vliegendhart, R. (author), Liem, C.C.S. (author), Larson, M.A. (author)
In this paper, we present a social media based approach to finding anchors in video archives. We use social activity on Twitter to find topics on which people have questions about in order to select suitable anchors. The experiments were carried out on the MediaEval Search and Anchoring in Video Archives Task (SAVA) data set, consisting of 68...
conference paper 2015
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Liem, C.C.S. (author), Hanjalic, A. (author)
Traditionally, the computer-assisted comparison of multiple performances of the same piece focused on performances on single instruments. Due to data availability, there also has been a strong bias towards analyzing piano performances, in which local timing, dynamics and articulation are important expressive performance features. In this paper,...
conference paper 2015
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Melenhorst, M.S. (author), Liem, C.C.S. (author)
As the importance of real-life use cases in the music information retrieval (MIR) field is increasing, so does the importance of understanding user needs. The development of innovative real-life applications that draw on MIR technology requires a user-centered design and development approach that assesses user needs and aligns them with...
conference paper 2015
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Demetriou, A.M. (author), Larson, M.A. (author), Liem, C.C.S. (author)
Music has been shown to have a profound effect on lis-teners' internal states as evidenced by neuroscience research. Listeners report selecting and listening to music with specific intent, thereby using music as a tool to achieve desired psychological effects within a given context. In light of these observations, we argue that music information...
conference paper 2016
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Peperkamp, Jeroen (author), Hildebrandt, K.A. (author), Liem, C.C.S. (author)
Multiple performances of the same piece share similarities, but also show relevant dissimilarities. With regard to the latter, analyzing and quantifying variations in collections of performances is useful to understand how a musical piece is typically performed, how naturally sounding new interpretations could be rendered, or what is peculiar...
conference paper 2017
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Reza Aditya Permadi, Reza (author), Septian Gilang Permana Putra, Septian (author), Helmiriawan, Helmi (author), Liem, C.C.S. (author)
This paper describes our approach for the submission to the Media-eval 2017 Predicting Media Interestingness Task, which was particularlydeveloped for the Image subtask. An approach using a late fusion strategy is employed, combining classifiers from different features by stacking them using logistic regression (LR). As the task ground truth...
conference paper 2017
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Kim, Jaehun (author), Won, Minz (author), Serra, Xavier (author), Liem, C.C.S. (author)
The automated recognition of music genres from audio information is a challenging problem, as genre labels are subjective and noisy. Artist labels are less subjective and less noisy, while certain artists may relate more strongly to certain genres. At the same time, at prediction time, it is not guaranteed that artist labels are available for a...
conference paper 2018
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Liem, C.C.S. (author)
Over the past millennia, music has actively been performed and listened to by mankind, thus also playing an important role in establishing sociocultural identities that have evolved over time. In parallel, for many centuries, newspapers played an important role in informing society on a regular and frequent basis on topics noteworthy at that...
conference paper 2018
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Kim, Jaehun (author), Won, Minz (author), Liem, C.C.S. (author), Hanjalic, A. (author)
In this paper, we propose a hybrid Neural Collaborative Filtering (NCF) model trained with a multi-objective function to achieve a music playlist generation system. The proposed approach focuses particularly on the cold-start problem (playlists with no seed tracks) and uses a text encoder employing a Recurrent Neural Network (RNN) to exploit...
conference paper 2018
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Charisi, Vicky (author), Liem, C.C.S. (author), Gómez, Emilia (author)
Humans have the capacity to invent novel ideas and to create new artifacts that affect the surrounding environment. However, it is unclear how this capacity emerges and develops in biological systems. This paper presents an empirical study which investigates the development of novelty-based cognitive processes in the context of unstructured...
conference paper 2018
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Abderrazik, Hiba (author), Angela, Giovan (author), Brouwer, Hans (author), Janse, Henky (author), Lutz, Sterre (author), Smitskamp, Gwennan (author), Manolios, S. (author), Liem, C.C.S. (author)
Music is often both personally and affectively meaningful to human listeners. However, little work has been done to create music recommender systems that take this into account. In this demo proposal, we present Spotivibes: a first prototype for a new color-based tagging and music recommender system. This innovative tagging system is designed...
conference paper 2019
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Rijlaarsdam, Matthijs (author), Scholten, Sebastiaan (author), Liem, C.C.S. (author)
Recommender systems can be useful in group settings, e.g. when choosing a movie to watch with a group. However, while considerable research in group recommendation has been performed, we still lack truly ecological datasets on group recommendations in real life consumption scenarios. Much of the existing work considers hypothetical...
conference paper 2019
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Kim, Jaehun (author), Manolios, S. (author), Demetriou, A.M. (author), Liem, C.C.S. (author)
Prior research from the field of music psychology has suggested that there are factors common to music preference beyond individual genres. Specifically, research has shown that self-reported ratings of preference for individual musical genres can be reduced to 4 or 5 dimensions, which in turn have been shown to correlate to relevant...
conference paper 2019
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Manolios, S. (author), Hanjalic, A. (author), Liem, C.C.S. (author)
The feld of recommender systems has a lot to gain from the feld of psychology. Indeed, many psychology researchers have investigated relations between models that describe humans and consumption preferences. One example of this is personality, which has been shown to be a valid construct to describe people. As a consequence, personality-based...
conference paper 2019
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Weigl, David M. (author), Goebl, Werner (author), Crawford, Tim (author), Gkiokas, Aggelos (author), Gutierrez, Nicolas F. (author), Porter, Alastair (author), Santos, Patricia (author), Karreman, Casper (author), Vroomen, Ingmar (author), Liem, C.C.S. (author), Sarasúa, Álvaro (author), Van Tilburg, Marcel (author)
The turn toward the digital has opened up previously difficult to access musical materials to wider musicological scholarship. Digital repositories provide access to publicly licensed score images, score encodings, textual resources, audiovisual recordings, and music metadata. While each repository reveals rich information for scholarly...
conference paper 2019
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Liem, C.C.S. (author), Mostert, C. (author)
Copyright restrictions prevent the widespread sharing of commercial music audio. Therefore, the availability of resharable pre-computed music audio features has become critical. In line with this, the AcousticBrainz platform<br/>offers a dynamically growing, open and community-contributed large-scale resource of locally computed low-level and...
conference paper 2020
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Samiotis, I.P. (author), Qiu, S. (author), Mauri, A. (author), Liem, C.C.S. (author), Lofi, C. (author), Bozzon, A. (author)
Human annotation is still an essential part of modern transcription workflows for digitizing music scores, either as a standalone approach where a single expert annotator transcribes a complete score, or for supporting an automated Optical Music Recognition (OMR) system. Research on human computation has shown the effectiveness of crowdsourcing...
conference paper 2020
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