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van der Schaft, Thomas (author)The relationship between architecture and music can be used as an extensive source of inspiration within design. While both disciplines deal with different media, both have the power to move people emotionally and to carry across different messages. In addition, similarities exist within the practices of musical composition and architecture.<br/...master thesis 2022
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Verhoef, Maurice (author)Architecture often manifests itself for a multitude of decades in the built environment, as something that is static. It is in itself an end-result, often designed as a seamless whole, specifically applicable within the design of music venues. These are often iconic objects within city fabrics, sometimes only accessible by one specific target...master thesis 2022
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Moens, Joël (author)In this thesis, it is being examined how music influenced the design strategy of two renowned architects: Le Corbusier and Steven Holl. The projects that are analyzed regard the Philips Pavilion in Brussels (1958) and the Stretto House in Dallas Texas (1989-1992). The design of the Philips Pavilion followed from a number of concept try-outs that...student report 2022
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Salarian, Borna (author)Working with trustworthy classifier models is important to the field of music information retrieval. However studies have shown some of the classifier models may not be as trustworthy as they appear. In this paper, we examine three of such classifiers available in the Essentia toolkit that have been evaluated using cross-validation, and measure...bachelor thesis 2022
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Hulleman, Sjoerd (author)Music Information Retrieval (MIR) is a field of research that focusses on extracting information from music related data. This includes the genre of music and the beats per minute (BPM) of a song. Pipelines that extract this information from music are called feature extractors. Essentia is a library for such feature extraction. Often, the audio...bachelor thesis 2022
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Samiotis, I.P. (author), Qiu, S. (author), Lofi, C. (author), Yang, J. (author), Gadiraju, Ujwal (author), Bozzon, A. (author)Music content annotation campaigns are common on paid crowdsourcing platforms. Crowd workers are expected to annotate complex music artifacts, a task often demanding specialized skills and expertise, thus selecting the right participants is crucial for campaign success. However, there is a general lack of deeper understanding of the distribution...journal article 2022
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Delle Monache, S. (author), Jia, Doudou (author), Kamphuis, Daan (author), Ozcan Vieira, E. (author)Music as a low-cost sleep aid is a promising way to improve the sleep quality of people. However, most available sleep music playlists are limited to generic, soothing songs, which do not take in account personalisation. In collaboration with the Neurology Department of the Reinier de Graaf hospital (Delft, The Netherlands), we explored a...conference paper 2022
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Miyapuram, Krishna Prasad (author), Ahmad, Nashra (author), Pandey, Pankaj (author), Lomas, J.D. (author)The article provides an open-source Music Listening- Genre (MUSIN-G) EEG dataset which contains 20 participants’ continuous Electroencephalography responses to 12 songs of different genres (from Indian folk music to Goth Rock to western electronic), along with their familiarity and enjoyment ratings. The participants include 16 males and 4...journal article 2022
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Samiotis, I.P. (author), Lofi, C. (author), Alaka, Shaad (author), Liem, C.C.S. (author), Bozzon, A. (author)In this demo we present Scriptoria, an online crowdsourcing system to tackle the complex transcription process of classical orchestral scores. The system’s requirements are based on experts’ feedback from classical orchestra members. The architecture enables an end- to-end transcription process (from PDF to MEI) using a scalable microtask design...conference paper 2022
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Pandey, Pankaj (author), Sharma, Gulshan (author), Miyapuram, Krishna P. (author), Subramanian, Ramanathan (author), Lomas, J.D. (author)Naturalistic music typically contains repetitive musical patterns that are present throughout the song. These patterns form a signature, enabling effortless song recognition. We investigate whether neural responses corresponding to these repetitive patterns also serve as a signature, enabling recognition of later song segments on learning...conference paper 2022
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Yuan, S. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)A method exploiting the movement of the vehicle to boost the cross-range resolution of automotive radar by forming a larger virtual array is proposed. Initial simulated results show that the proposed method with the traditional Digital beamforming (DBF) algorithm can separate targets that cannot be otherwise recognized by the traditional MIMO...conference paper 2022
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Meuleman, Mathias (author)The field of Optical Music Recognition has been making progress in the past decades to automate the process of transcribing music scores into computer-readable formats, but its results are still far from being generally applicable. Some research effort has focused on incorporating crowdsourcing techniques into this field to check and correct...master thesis 2021
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Zhang, Tianren (author)takeUthere is a digital product design for nurses in the hospital to reduce working stress during work break time. As the professions that help people solve health problems, the hospital staff pay attention to the patientʼs physical condition all the time, including nurses, they face complex and difficult tasks every day. During the work, they...master thesis 2021
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Bánsági, Aurél (author)In group recommendation, a key question is how preferences from individuals should be obtained and then aggregated into a group outcome. Collecting individual preferences can be done through implicit or explicit means, but there is insufficient research available on what option is optimal. For comparing different possible aggregation strategies,...master thesis 2021
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de Jong, Joep (author)The transcription of voice using neural networks is a technique that deserves attention, as speech assistants are becoming increasingly popular. Neural networks have often difficulty with determining the differences between a talking person and noise. Humans have a much better understanding of this and could possibly apply their knowledge of the...bachelor thesis 2021
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Kreynen, Bernd (author)Dementia care is a growing problem, both due to a rising number of cases and due to a shortage in healthcare workers. Aside from cognitive symptoms persons with dementia (PwDs) often deal with psychological symptoms such as agitation. The individualized music intervention (IMI) by Linda Gerdner has been proposed to reduce these. This is the...master thesis 2021
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Hildebrand, Casper (author)This paper presents the findings of a benchmark performed on the audio fingerprinting framework OLAF in the context of movie music. The goal is to find a music identification framework suitable for automatically identifying a song from a movie clip. This research aims to find how well OLAF performs in this context with regard to the criteria...bachelor thesis 2021
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Struharová, Natália (author)Audio fingerprinting is one of the standard solutions for music identification. The underlying technique is designed to be robust to signal degradation such that music can be identified despite its presence. One of the newly emerged applications of a possibly challenging nature is music identification in movies. This paper examines the audio...bachelor thesis 2021
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Huisman, Tim (author)Audio fingerprinting has shown to be an effective approach to music identification, having properties robust to noise and signal degradations. A field in which audio fingerprinting has not been evaluated yet is music identification in movies. In movies, music is often accompanied with background noise, sound effects and dialogue, and further...bachelor thesis 2021
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Wever, Cas (author)Music indexing, the practice of identifying songs contained in an audio sample, is an approach that is widely used. As an underlying technique, "audio fingerprinting" can be used. In this technique, an audio sample is converted to a fingerprint; a smaller representation of the audio. This fingerprint is compared to a database of fingerprinted...bachelor thesis 2021