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37 results for “music”
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Research ArticleOpen accessEvery word in the titleVision Tune: A Deep Learning Framework for Sentiment Driven Video, Image and Music CreationLukesh Rameshpant Kadu, Manoj Deshpande, Vijaykumar PawarArtificial intelligence has enabled powerful generative models for text, images, video, and music, yet most tools still operate independently without a unified, multi-modal workflow. This article proposes an integrated AI framework, Vision Tune, that consolidates these isolated capabilities into a single, sentiment-aware platform for end-to-end media creation. The system leverages deep learning and multi-scope AI models to automatically generate written … …Journal of Computer Science, Vol. 22, Issue 4 · 29 Apr 2026 · 1,496 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFolk Music Recommendation Using NSGA-II Optimization AlgorithmJoyanta Sarkar, Anil Rai, Kayala Kiran Kumar et al.Music recommendation systems can significantly improve the listening and search experiences of a music library or music application. There is simply too much music on the market for a user to navigate tens of millions of songs effectively. Because of the high demand for excellent music recommendations, the field of Music Recommendation Systems (MRS) is rapidly expanding. The main motivation … …Journal of Computer Science, Vol. 19, Issue 12 · 8 Nov 2023 · 5,634 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Study on Emotion Analysis and Music Recommendation Using Transfer LearningKrishna Kumar Singh, Payal DemblaAs more and more people access and consume music through streaming platforms and digital services, music recommendation has grown in importance within the music industry. Given the abundance of music at our disposal, music recommendation algorithms are essential for guiding users toward new music and for creating individualized listening experiences. People frequently seek out music that fits their current emotional … …Journal of Computer Science, Vol. 19, Issue 6 · 16 May 2023 · 7,109 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAutomatic Piano Sheet Music Transcription with Machine LearningFernandes Saputra, Un Greffin Namyu, Vincent et al.Automatic Music Transcription (AMT) is becoming more and more popular throughout the day, it has piqued the interest of many in addition to academic research. A successful AMT system would be able to bridge multiple ranges of interactions between people and music, including music education. The goal of this research is to transcribe an audio input to music notation. Research … …Journal of Computer Science, Vol. 17, Issue 3 · 4 Mar 2021 · 9,248 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEfficient Music Auto-Tagging with Convolutional Neural NetworksShaleen Bengani, S. Vadivel, J. Angel Arul JothiTechnology is revolutionizing the way in which music is distributed and consumed. As a result, millions of songs are instantly available to millions of people, on the Internet. This has created the need for novel music search and discovery services. Music is often searched using descriptive keywords, or tags, based on the content of the song. Hence, one very important … …Journal of Computer Science, Vol. 15, Issue 8 · 27 Aug 2019 · 7,841 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFrequency Extended-MUSIC Method for DOA Estimation in Indoor IR-UWB EnvironmentHajer Meknessi, Ferid Harrabi, Ali GharsallahIn recent years, many researchers have been developed in order to ensure an accurate localization. So many techniques have been used the direction of arrival to estimate and track of IR-UWB signals. In this study, we propose a new direction of arrival estimation method for impulse radio UWB signals. This technique based on Extended-Music algorithm. The proposed method has high … …American Journal of Applied Sciences, Vol. 13, Issue 4 · 8 Apr 2016 · 7,285 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAUTOMATIC MUSIC EMOTION CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK BASED ON VOCAL AND INSTRUMENTAL SOUND TIMBRESMudiana Binti Mokhsin, Nurlaila Binti Rosli, Suzana Zambri et al.Detecting emotion features in a song remains as a challenge in various area of research especially in Music Emotion Classification (MEC). In order to classify selected song with certain mood or emotion, the algorithms of the machine learning must be intelligent enough to learn the data features as to match the features accordingly to the accurate emotion. Until now, there … …Journal of Computer Science, Vol. 10, Issue 12 · 29 Dec 2014 · 8,527 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAESTHETICS IN EARLY CHILDHOOD EDUCATION: THE COMBINATION OF TECHNOLOGY INSTRUMENTS IN CHILDREN’S MUSIC, VISUAL ARTS AND PRETEND PLAYChia-Hui Ko, Mei-Ju ChouWith the importance of aesthetics in current preschool curriculum, children’s aesthetics development and deloading learning plays a special attention to the relationship between technology instruments and the three critical early childhood education activities, namely music teaching and learning, visual arts and children’s pretend play in early childhood education. A rigorous literature review in Dewey, Steiner and Vygotsky explore the argument … …Journal of Social Sciences, Vol. 10, Issue 1 · 26 Apr 2014 · 10,305 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleLatent Dirichlet Allocation Model for Raga Identification of Carnatic MusicRajeswari Sridhar, Manasa Subramanian, B. M. Lavanya et al.Problem statement: In this study the Raga of South Indian Carnatic music is determined by constructing a model. Raga is a pre-determined arrangement of notes, which is characterized by an Arohana and Avarohana, which is the ascending and descending arrangement of notes and Raga lakshana. Approach: In this study a Latent Dirichlet Allocation (LDA) model is constructed to identify the … …Journal of Computer Science, Vol. 7, Issue 11 · 30 Aug 2011 · 7,734 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Proposed Optical Music Mark Recognition SystemIsmael JannoudThe optical music symbol recognition system still has many challenges. Most of issues focused on the recognition of the individual marks in the input concert documents. In this study a new and efficient model for optical music recognition (OMR) was proposed. The music marks was recognized and played by the computer OMR system automatically. A stored file of music documents … …Journal of Computer Science, Vol. 1, Issue 2 · 19 Oct 2005 · 4,890 accessesView PDFCite