Affective Music Information Retrieval

Much of the appeal of music lies in its power to convey emotions/moods and to evoke them in listeners. In consequence, the past decade witnessed a growing interest in modeling emotions from musical signals in the music information retrieval (MIR) community. In this article, we present a novel generative approach to music emotion modeling, with a specific focus on the valence-arousal (VA) dimension model of emotion. The presented generative model, called \emph{acoustic emotion Gaussians} (AEG), better accounts for the subjectivity of emotion perception by the use of probability distributions. Specifically, it learns from the emotion annotations of multiple subjects a Gaussian mixture model in the VA space with prior constraints on the corresponding acoustic features of the training music pieces. Such a computational framework is technically sound, capable of learning in an online fashion, and thus applicable to a variety of applications, including user-independent (general) and user-dependent (personalized) emotion recognition and emotion-based music retrieval. We report evaluations of the aforementioned applications of AEG on a larger-scale emotion-annotated corpora, AMG1608, to demonstrate the effectiveness of AEG and to showcase how evaluations are conducted for research on emotion-based MIR. Directions of future work are also discussed.Comment: 40 pages, 18 figures, 5 tables, author versio

Combing Customer Profiles for Members' Repurchase Rate Predictions

[[abstract]]Customer relationship management (CRM) leverages historical users’ behaviors in order to dawn effort of enhancing customer satisfaction and loyalty. Thus, constructing a successful customer profile plays a critical role in CRM. As customers’ preferences may change over time, we take the different types of past behavior patterns of the registered members to capture concept drifts. Then, we combine the repurchase index (RI) and the preference drifts to propose a Behavioral Repurchase Prediction (BRP) model, and to predict the members’ repurchase rates in the specific category of the e-shop. The marketers of the e-shop can target the registered members with high repurchase rates and design corresponding marketing strategies. The experimental results with a real dataset show that our model can effectively predict the registered members’ repurchase rates.[[notice]]補正完畢[[incitationindex]]EI[[booktype]]紙

A Qualitative Research Study of How Extended Field Experience Prepares Special Education Teachers of Students with Emotional and Behavioral Disorders

A well-prepared and qualified special education teacher is crucial to the performance of students with emotional and behavioral disorders (EBD). The prominent educators and federal government encourage the use of extended field experiences in preparing qualified special education teachers. The study examined the strengths and weaknesses of extended field experience in terms of the perceptions of the prospective teachers and teachers of students with EBD. Both individual interviews and a focus group were used to collect data. The results revealed that extended field experience benefits prospective teachers in showing the reality of the teachers' world, self-motivation assessment, and professional development. However, there were some improvements that could be made, including more placement selections and more practical knowledge

LEG STIFFNESS CHANGES IN DROP JUMPS WITH DIFFERENT STRETCH AMPLITUDE

The purpose of this study was to investigate the adjustment of leg stiffness and the relative electromyography (EMG) magnitude of different phases with shallow and deep drop jump (DJ) in order to understand the neuromuscular and contraction characteristics of different stretch amplitudes of SSC movement. There were 12 subjects tested in this experiment including jumpers and volleyball players whose ages are 20.5±1.93, heights are 181.01±6.23cm and weights are 71.95±4.93Kg. Kistler forceplatform, PEAK high speed video camera and EMG Biovision system were used to record the ground reaction force, kinematics data and the EMG signals of gastrocnemius and rectus femoris. The results of this study were that the leg stiffness between two different drops jump had the significant difference at the concentric and transmission phases in the progressive loads (