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  • Open Access


    Application Research of Music Therapy in Mental Health of Special Children

    Yingfeng Wang*

    International Journal of Mental Health Promotion, Vol.25, No.6, pp. 735-754, 2023, DOI:10.32604/ijmhp.2023.026440

    Abstract A healthy psychological state is the premise for children to carry out various activities. Previous surveys have shown that children with special needs are affected by their own obstacles and are more prone to psychological problems such as sensitivity, low self-esteem, and impulsiveness. Therefore, it is necessary to provide more systematic mental health education support for special children. Mental health education programs are an efficient form of maintaining children’s mental health. However, in the field of special education, the number of mental health education courses developed according to the physical and mental characteristics and developmental needs of special children is… More >

  • Open Access


    Construction of Psychological Adjustment Function Model of Music Education Based on Emotional Tendency Analysis

    Bin Zhang*

    International Journal of Mental Health Promotion, Vol.25, No.5, pp. 655-671, 2023, DOI:10.32604/ijmhp.2023.025913

    Abstract In the face of fierce competition in the social environment, mental health problems gradually get the attention of the public, in order to achieve accurate mental health data analysis, the construction of music education is based on emotional tendency analysis of psychological adjustment function model. Design emotional tendency analysis of music education psychological adjustment function architecture, music teaching goal as psychological adjustment function architecture building orientation, music teaching content as a foundation for psychological adjustment function architecture and music teaching process as a psychological adjustment function architecture building, music teaching evaluation as the key of building key regulating function architecture,… More >

  • Open Access


    Aspect Level Songs Rating Based Upon Reviews in English

    Muhammad Aasim Qureshi1, Muhammad Asif2, Saira Anwar3, Umar Shaukat1, Atta-ur-Rahman4, Muhammad Adnan Khan5,*, Amir Mosavi6,7,8

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 2589-2605, 2023, DOI:10.32604/cmc.2023.032173

    Abstract With the advancements in internet facilities, people are more inclined towards the use of online services. The service providers shelve their items for e-users. These users post their feedbacks, reviews, ratings, etc. after the use of the item. The enormous increase in these reviews has raised the need for an automated system to analyze these reviews to rate these items. Sentiment Analysis (SA) is a technique that performs such decision analysis. This research targets the ranking and rating through sentiment analysis of these reviews, on different aspects. As a case study, Songs are opted to design and test the decision… More >

  • Open Access


    Music Genre Classification Using African Buffalo Optimization

    B. Jaishankar1,*, Raghunathan Anitha2, Finney Daniel Shadrach1, M. Sivarathinabala3, V. Balamurugan4

    Computer Systems Science and Engineering, Vol.44, No.2, pp. 1823-1836, 2023, DOI:10.32604/csse.2023.022938

    Abstract In the discipline of Music Information Retrieval (MIR), categorizing music files according to their genre is a difficult process. Music genre classification is an important multimedia research domain for classification of music databases. In the proposed method music genre classification using features obtained from audio data is proposed. The classification is done using features extracted from the audio data of popular online repository namely GTZAN, ISMIR 2004 and Latin Music Dataset (LMD). The features highlight the differences between different musical styles. In the proposed method, feature selection is performed using an African Buffalo Optimization (ABO), and the resulting features are… More >

  • Open Access


    Main Melody Configuration and Chord Algorithm for Relaxing Music Generation

    Chih-Fang Huang1,*, Ai-Hsien Fan2, Jin-Huang Huang3, Hsing-Cheng Huang3

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 661-673, 2023, DOI:10.32604/iasc.2023.027165

    Abstract This study applies the diatonic chord in music theory, utilization rate, and the close relationship between the main chord system, the dominant chord system, and the subordinate chord system. From the perspective of music theory, the computer can automatically and quickly analyze the music, and establish a set of algorithms for configuring the chord accompaniment for the main melody, called the symmetrical circle of fifths algorithm, SCFA (Symmetrical Circle of Fifths Algorithm). SCFA can immediately confirm the key, perform harmony analysis, configure chord accompaniment for the main melody, and effectively and correctly complete any given melody or interval. It can… More >

  • Open Access


    Arabic Music Genre Classification Using Deep Convolutional Neural Networks (CNNs)

    Laiali Almazaydeh1,*, Saleh Atiewi2, Arar Al Tawil3, Khaled Elleithy4

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5443-5458, 2022, DOI:10.32604/cmc.2022.025526

    Abstract Genres are one of the key features that categorize music based on specific series of patterns. However, the Arabic music content on the web is poorly defined into its genres, making the automatic classification of Arabic audio genres challenging. For this reason, in this research, our objective is first to construct a well-annotated dataset of five of the most well-known Arabic music genres, which are: Eastern Takht, Rai, Muwashshah, the poem, and Mawwal, and finally present a comprehensive empirical comparison of deep Convolutional Neural Networks (CNNs) architectures on Arabic music genres classification. In this work, to utilize CNNs to develop… More >

  • Open Access


    CVAE-GAN Emotional AI Music System for Car Driving Safety

    Chih-Fang Huang1,*, Cheng-Yuan Huang2

    Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1939-1953, 2022, DOI:10.32604/iasc.2022.017559

    Abstract Musical emotion is important for the listener’s cognition. A smooth emotional expression generated through listening to music makes driving a car safer. Music has become more diverse and prolific with rapid technological developments. However, the cost of music production remains very high. At present, because the cost of music creation and the playing copyright are still very expensive, the music that needs to be listened to while driving can be executed by the way of automated composition of AI to achieve the purpose of driving safety and convenience. To address this problem, automated AI music composition has gradually gained attention… More >

  • Open Access


    A Knowledge-Based Pilot Study on Assessing the Music Influence

    Sabin C. Buraga1, Octavian Dospinescu2,*

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2857-2873, 2021, DOI:10.32604/cmc.2021.014429

    Abstract A knowledge-driven approach is proposed for assessing the music influence on university students. The proposed method of modeling and conducting the interactive pilot study can be useful to convey other surveys, interviews, and experiments created in various phases of the user interface (UI) design processes, as part of a general human-computer interaction (HCI) methodology. Benefiting from existing semantic Web and linked data standards, best practices, and tools, a microservice-oriented system is developed as a testbed platform able to generate playlists in a smart way according to users’ music preferences. This novel approach could bring also benefits for user interface adaptation… More >

  • Open Access


    Changes in neuropeptides related to food intake in the rat arcuate nucleus after chronic immobilization stress and the effect of comfortable music exposure


    BIOCELL, Vol.44, No.3, pp. 421-429, 2020, DOI:10.32604/biocell.2020.010257

    Abstract Stress is an inevitable interference factor that seriously affects health. Listening to music is an economical, noninvasive, and highly accepted tool for easing stress. However, physiological studies investigating the ability of music to reduce stress in daily life are limited. We established rat models of chronic immobilization stress (CIS) to observe changes in the hypothalamic arcuate nucleus (ARC) neurons involved in the regulation of food intake and the effect of comfortable classical music exposure. Twenty-one days of stress resulted in decreased food intake and delayed body weight gain; up-regulation of leptin receptor (Ob-R), cocaine- and amphetamine-regulated transcript (CART), proopiomelanocortin (POMC),… More >

  • Open Access


    Analysis of Collaborative Brain Computer Interface (BCI) Based Personalized GUI for Differently Abled

    M. Umaa,c, T. Sheelab

    Intelligent Automation & Soft Computing, Vol.24, No.4, pp. 747-757, 2018, DOI:10.1080/10798587.2017.1332804

    Abstract Brain-Computer Interfaces (BCI) use Electroencephalography (EEG) signals recorded from the brain scalp, which enable a communication between the human and the outside world. The present study helps the patients who are people locked-in to manage their needs such as accessing of web url’s, sending/receiving sms to/from mobile device, personalized music player, personalized movie player, wheelchair control and home appliances control. In the proposed system, the user needs are designed as a button in the form of a matrix, in which the main panel of rows and columns button is flashed in 3 sec intervals. Subjects were asked to choose the… More >

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