![]() It is worth pointing out that the main effects of the factors are little affected by the optimal design. Here the aim was to only focus on main effects and first-order interactions and to explore whether the levels of these factors operate in linear or cubic fashion, both of which allow to fully capitalize on the benefits offered by the optimal design paradigms. ![]() The main advantage of using optimal designs over full factorials design is that they allow to focus the research resources on particular questions, minimize redundancy (e.g., by eliminating high-order factor interactions), and to maximize the statistical power. Fractional Factorial Designs (FFD) and Response Surface Methodologies (RSM), collectively called optimal designs are fortunately available, although widespread usage of these within behavioural sciences is still rare despite serious attempts of advocating them (see McClelland, 1997 Collins, Dziak, & Li, 2009). A full factorial would have been impossible since it would have require over 14000 combinations to be tested. play the same music in six different registers) in order to explore whether the factors contribute to emotions in a linear fashion. In this case, we also wanted to have more than two levels in most variables (e.g. This study (Eerola, Friberg & Bresin, 2013) set out to manipulate 6-7 features of music in factorial fashion to determine how much they contribute to emotions perceived in music. Mean emotion ratings from the two laboratories (KTH at Stockholm and UJy at Jyväskylä) are available in mean_emotion_ratings.csv, which is a comma-separated ascii file, organised according to the stimulus order (1-200). Additionally, there is an extra sound file titled sound-level-cal-C4-eng-horn-0dB.wav for calibrating the sound presentation (this is 0 dB, whereas the dynamics in stimuli will vary around it). The sound files are provided in a zipped archive (509 Mb, titled stimuli) that contains uncompressed wave files named as 001.wav to 200.wav corresponding to the design matrix (see notes below). The full melodic materials are available from Sound files Happy, sad, scary and peaceful musical excerpts for research on emotions. Vieillard, S., Peretz, I., Gosselin, N., Khalfa, S., Gagnon, L., and Bouchard, B.Emotion rendering in music: range and characteristic values of seven musical variables. The design was based on findings provided in: Emotional Expression in Music: Contribution, Linearity, and Additivity of Primary Musical Cues. The study with four audio examples is available at: Design matrix of the 200 stimuli combining the seven factors.Stimulus materials, design matrix, and mean ratings for music and emotion study using optimal design in factorial manipulation of musical features (Eerola, Friberg & Bresin, 2013). Music and emotion dataset (Primary Musical Cues) The results demonstrate theĮffectiveness of the proposed framework in tip generation of the music domain.Stimulus materials, design matrix, and mean ratings for music and emotion study using optimal design in factorial manipulation of musical features (Eerola, Friberg & Bresin, 2013). With top-10 precision at 78.89% on average. ![]() Previously-unseen songs, during which GENTMS also achieves the best performance Simulate the practical usage of our proposed framework, we also experiment with Experimental results show that GENTMS achieves top-10 precision atĨ5.56%, outperforming the baseline models by at least 3.34%. Tips/non-tips from 128 songs which are distributed in five different song Named MTips for the task and propose a framework named GENTMS for automatically To the best of our knowledge, no prior studies have explored Tips are produced from song reviews and should express non-trivial insightsĪbout the songs. I.e., short, concise, empathetic, and self-contained descriptions about songs. To solve this problem, one practical strategy is to provide tips, Is difficult for users to efficiently grasp meaningful messages for makingĭecisions. However, reviews of music songsĪre generally long in length and most of them are non-informative for users. When presented with meaningful song reviews. Prior research shows that users can make quicker and more informed decisions Authors: Jingya Zang, Cuiyun Gao, Yupan Chen, Ruifeng Xu, Lanjun Zhou, Xuan Wang Download PDF Abstract: Reviews of songs play an important role in online music service platforms.
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