Searched for: author:"Liem, C.C.S."
(1 - 20 of 20)
document
Kim, J.H. (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
document
Kim, J.H. (author), Urbano, Julián (author), Liem, C.C.S. (author), Hanjalic, A. (author)
Inspired by the success of deploying deep learning in the fields of Computer Vision and Natural Language Processing, this learning paradigm has also found its way into the field of Music Information Retrieval. In order to benefit from deep learning in an effective, but also efficient manner, deep transfer learning has become a common approach...
journal article 2019
document
Duan, Zhiyao (author), Essid, Slim (author), Liem, C.C.S. (author), Richard, Gael (author)
In the physical sciences and engineering domains, music has traditionally been considered an acoustic phenomenon. From a perceptual viewpoint, music is naturally associated with hearing, i.e., the audio modality. Moreover, for a long time, the majority of music recordings were distributed through audio-only media, such as vinyl records,...
journal article 2019
document
Kim, J.H. (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
document
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
document
Kim, J.H. (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
document
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
document
Yadati, N.K. (author), Larson, M.A. (author), Liem, C.C.S. (author), Hanjalic, A. (author)
In this paper, we focus on event detection over the timeline of a music track. Such technology is motivated by the need for innovative applications such as searching, non-linearaccess and recommendation. Event detection over the timeline requires time-code level labels in order to train machine learning dels. We use timed comments from...
journal article 2018
document
Liem, C.C.S. (author), Langer, M (author), Demetriou, A.M. (author), Hiemstra, Annemarie M.F. (author), Sukma Wicaksana, Achmadnoer (author), Born, MPh (author), König, Cornelis J. (author)
In a rapidly digitizing world, machine learning algorithms are increasingly employed in scenarios that directly impact humans. This also is seen in job candidate screening. Data-driven candidate assessment is gaining interest, due to high scalability and more systematic assessment mechanisms. However, it will only be truly accepted and trusted...
book chapter 2018
document
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
document
Sutcliffe, Richard (author), Liem, C.C.S. (author)
Following four annual C@merata evaluations at MediaEval, in which natural language phrases about music must be mapped to passages in MusicXML scores, we have developed a representation which captures the meaning of a text about music as a JSON feature structure. We have written a system to convert any text to this repres entation, comprising 23...
abstract 2017
document
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
document
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
document
Bazzica, A. (author), Liem, C.C.S. (author), Hanjalic, A. (author)
Information on whether a musician in a large symphonic orchestra plays her instrument at a given time stamp or not is valuable for a wide variety of applications aiming at mimicking and enriching the classical music concert experience on modern multimedia platforms. In this work, we propose a novel method for generating playing/non-playing...
journal article 2016
document
Liem, C.C.S. (author)
Music is a multifaceted phenomenon: beyond addressing our auditory channel, the consumption of music triggers further senses. Also in creating and communicating music, multiple modalities are at play. Next to this, it allows for various ways of interpretation: the same musical piece can be performed in different valid ways, and audiences can in...
doctoral thesis 2015
document
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
document
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
document
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
document
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
document
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
Searched for: author:"Liem, C.C.S."
(1 - 20 of 20)