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Search Results (17)
  • Open Access

    ARTICLE

    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

    ARTICLE

    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

    ARTICLE

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

    HAO WANG1,2,#, FANG FANG1,#, CHAOYI FANG1, RUNSHENG ZHAO1,*, SHAOXIAN WANG1,*

    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

    ARTICLE

    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 >

  • Open Access

    ARTICLE

    Analysis and Process of Music Signals to Generate TwoDimensional Tabular Data and a New Music

    Oakyoung Han1, Jaehyoun Kim2, *

    CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 553-566, 2020, DOI:10.32604/cmc.2020.09362

    Abstract The processing of sound signals is significantly improved recently. Technique for sound signal processing focusing on music beyond speech area is getting attention due to the development of deep learning techniques. This study is for analysis and process of music signals to generate tow-dimensional tabular data and a new music. For analysis and process part, we represented normalized waveforms for each of input data via frequency domain signals. Then we looked into shorted segment to see the difference wave pattern for different singers. Fourier transform is applied to get spectrogram of the music signals. Filterbank is applied to represent the… More >

  • Open Access

    ARTICLE

    Perception of Nonlinear Distortion in Music Signals Reproduced by Microspeakers

    Pei Yu, Yong Shen*, Ziyun Liu

    Sound & Vibration, Vol.52, No.5, pp. 6-11, 2018, DOI:10.32604/sv.2018.04090

    Abstract A lot of work has focused on compensating nonlinear distortions of the microspeaker under large excitation, yet it is unclear at which level the effect of nonlinear distortion is imperceptible or not annoying. In this study virtual listening tests were performed to evaluate the deterioration of sound quality in music signals with different levels of nonlinear distortion by a microspeaker. Binaural recordings of the music played by the microspeaker were made at different voltage levels, adjusted to the same RMS power, and afterwards reproduced by a low distortion reference headphone. The “double-blind triple-stimulus with hidden reference” method was used in… More >

  • Open Access

    ARTICLE

    Speech-Music-Noise Discrimination in Sound Indexing of Multimedia Documents

    Lamia Bouafif1, Noureddine Ellouze2

    Sound & Vibration, Vol.52, No.6, pp. 2-10, 2018, DOI:10.32604/sv.2018.02410

    Abstract Sound indexing and segmentation of digital documents especially in the internet and digital libraries are very useful to simplify and to accelerate the multimedia document retrieval. We can imagine that we can extract multimedia files not only by keywords but also by speech semantic contents. The main difficulty of this operation is the parameterization and modelling of the sound track and the discrimination of the speech, music and noise segments. In this paper, we will present a Speech/Music/Noise indexing interface designed for audio discrimination in multimedia documents. The program uses a statistical method based on ANN and HMM classifiers. After… More >

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