Music Apps Research Articles

VIBEZY: An AI based IoS Music App

Abstract: AI-based Music iOS App is an advanced version of current music apps, with voice & face recognition and it will not only reduce human efforts but also aims at scanning and interpreting the data and accordingly plays music based on facial expression with the additional feature of FM radio. This project is mainly focused on designing user-friendly and developing an effortless application with songs and playlists based on your mood and even visually challenged people can use them freely. Keywords: Music, AI, Android, iOS, Voice Recognition.

Mindfulness and music interventions in the workplace: assessment of sustained attention and working memory using a crowdsourcing approach

BackgroundOccupational stress has huge financial as well as human costs. Application of crowdsourcing might be a way to strengthen the investigation of occupational mental health. Therefore, the aim of the study was to assess Danish employees’ stress and cognition by relying on a crowdsourcing approach, as well as investigating the effect of a 30-day mindfulness and music intervention.MethodsWe translated well-validated neuropsychological laboratory- and task-based paradigms into an app-based platform using cognitive games measuring sustained attention and working memory and measuring stress via. Cohen’s Perceived Stress Scale. A total of 623 healthy volunteers from Danish companies participated in the study and were randomized into three groups, which consisted of a 30-day intervention of either mindfulness or music, or a non-intervention control group.ResultsParticipants in the mindfulness group showed a significant improvement in the coefficient of sustained attention, working memory capacity and perceived stress (p < .001). The music group showed a 38% decrease of self-perceived stress. The control group showed no difference from pre to post in the survey or cognitive outcome measures. Furthermore, there was a significant correlation between usage of the mindfulness and music app and elevated score on both the cognitive games and the perceived stress scale.ConclusionThe study supports the nascent field of crowdsourcing by being able to replicate data collected in previous well-controlled laboratory studies from a range of experimental cognitive tasks, making it an effective alternative. It also supports mindfulness as an effective intervention in improving mental health in the workplace.

Understanding Consumer Perception Toward Usage of Music Apps During COVID-19: A Study in West Bengal State

The astounding proliferation of mobile internet and technological innovations is one of the revelations of the 21st-century modern world. Electronic gadgets such as smartphones and tablets possess bewildering and alluring features which when blended with internet gives the modus vivendi of the consumers a completely different meaning. It has been observed that consumers have shown a strong penchant toward such technological vantages and innovative gadgets. In this context, the rise in the usage of music apps has been driven largely by the skyrocketing in the production and use of smartphones, coupled with the landscape of fast-paced internet. There are large number of consumers who have been adopting and using music apps, especially during the boring and monotonous period of COVID-19. The current research study is attempted at examining and analyzing the attitudes and behavior of the consumers toward the use of such music apps. For this purpose, a survey has been conducted in selected districts of West Bengal on the basis of “technology acceptance model”. The results reveal that consumers of West Bengal have positive perception toward music apps.

RESEARCH ON EMOTIONAL MUSIC APP DESIGN UNDER THE NEEDS OF OFFICE WORKERS

To explore the demand and current situation of APP use from the perspective of working people, and to make the future APP design not focus on visual effect by implanting emotional design. It also analyzes how to improve the design to make it more in line with the user needs of office workers, to establish a more comprehensive understanding of the theoretical research and application in related fields. This paper collects, organizes, and visualizes the literature on the main applications of emotional design APP from 2000 to 2021 based on the physiological and psychological characteristics of office workers through Donald A. Norman’s three-level theory of emotional design, and discusses how to make reasonable design for the music APP to improve user experience according to the user characteristics of office workers. Applying interaction design theory and three levels of emotional design theory to the design of the music APP has important research value and scientific perspective. The paper also summarizes the interaction design method based on user experience and builds the design model of the music APP based on emotional design, which is a guide for the subsequent design.

Visuelle oder klangliche Spuren?

This article focuses on the emerging ethnographic field 'refugee camp' and the challenges it poses in terms of an "engaged ethnomusicology" inscribed into a larger discussion about "public ethnography" and ethically informed collaborative practices. The prevailing focus of mass media and artists serves as a starting point, as they represent migratory phenomena primarily through the visual lens, through material artefacts, denying their multisensory character, particularly their immaterial and sonic aspects. Taking as examples the artistic work of Chinese dissident artist Ai Weiwei and exhibition concepts presented at the documenta 14 and at the Biennale in Venice 2019, the article questions the predominance of the material approach, the inaudibility of migration because of its compatibility with our "museological thinking'" and an abstract idea of "cultural heritage" as promoted by established cultural institutions in Western Europe. The article argues that sound should instead be taken more seriously into consideration. This includes reflecting on the prominent links between human existentiality and suffering, as well as musical production and performance. It is argued that the temporariness of refugee's musical practice is related to their precarious life conditions in camps suspended in time and space. As practical examples from the French camp of Calais demonstrate, music making in this context offers refugees one possible way to counter-act imposed policies of infantilization, passivity and an omnipresent experience of waiting. In a situation where creative space and musical instruments are a limited resource, social media and music apps generate particular forms of musical creativity and assume a fundamental role which should be acknowledged in research to a larger extent. Such conditions influence also largely the ways in which migrated musicians construct their self-image as "refugee musicians". Taking as an example Syrian pianist Aeham Ahmad, the article shows that such self and foreign attributions may be reductive and result in an ethically problematic branding with commercial intentions. The second part of the article presents a collaborative grassroot-music theatre project realized in a German Erstaufnahmeeinrichtung over a span of 4 months. It offers insights into the limitations of "making audible", or "voicing migrants" everyday concerns through artistic practice. It also questions the idea of developing an "artistic agency" and an equal "cultural participation" in a working context characterized by social and power hierarchies, emotional instabilities, and a constant flow of individuals and ideas. In this context the role of the ethnomusicologist as a (cultural) translator with multiple responsibilities is crucial. Not only does he/she balance out different levels of musical professionality or different aesthetic preferences, but he/she also opens up spaces for creativity for disadvantaged or marginalized individuals in the camps. On another level the researcher's responsibility lies in the task to make practices public which originally were self-referential or of local relevance in a socially segregated space. Despite numerous obstacles to make such interventions "culturally sustainable", the article shows the potentiality of producing bottom-up "counter-images" or "counter-soundings', which could generate counter-discourses to the main media narratives on migration.

Applicability of Digital Learning Strategy “Start Playing the Guitar!” in Solfeg.io Music Education App

The digitalisation of the music classroom has accelerated the development of learning tools that correspond to the mindset and lifestyle of digital generation. Current pedagogical approaches emphasize a diverse and multifunctional use of technology to study music theory, learn to play instruments, and create music on and offline. Solfeg.io music education app is designed according to principles of smart pedagogy that include criteria for a meaningful use of technology in the study process. The app has been developed to meet didactic, cognitive, socioemotional, and technical requirements that create a customizable, user-oriented experience in a pedagogically justified study environment. The digital learning strategy “Start playing the guitar!” (DLS) is designed for students without prior knowledge of playing the guitar. The purpose of the paper is to study applicability of DLS in learning the basics of playing the guitar. The paper contains an analysis of theoretical literature on a technology-enhanced pedagogical process, including the ideas of smart pedagogy and the basic didactic principles for developing digital education tools. The empirical study on the use of DLS includes pedagogical observation, respondent surveys, and analysis and interpretation of the obtained qualitative data.

Beyond Audition: Psychosocial Benefits of Music Training for Children With Hearing Loss.

Children with hearing loss tend to have poorer psychosocial and quality of life outcomes than their typical-hearing (TH) peers-particularly in the areas of peer relationships and school functioning. A small number of studies for TH children have suggested that group-based music activities are beneficial for prosocial outcomes and help develop a sense of belonging. While one might question whether perceptual limitations would impede satisfactory participation in musical activities, findings from a few studies have suggested that group music activities may have similar benefits for children with hearing loss as well. It is important to note that the effect of music on psychosocial outcomes has primarily been investigated at an anecdotal level. The objective of this study was to explore the effect of a music training program on psychosocial and quality of life outcomes for children with hearing loss. It was hypothesized that music training would provide benefits for domains centered upon peer relationships and prosocial measures. Fourteen children aged 6 to 9 years with prelingual sensorineural hearing loss (SNHL) participated in a 12-week music training program that consisted of group-based face-to-face music therapy supplemented by online music apps. The design was a pseudorandomized, longitudinal study (9 participants were waitlisted, initially serving as a passive control group). Psychosocial wellbeing and quality of life were assessed using a questionnaire battery comprised of the Strengths and Difficulty Questionnaire (SDQ), the Pediatric Quality of Life Inventory, the Hearing Environments and Reflection on Quality of Life (HEAR-QL), and the Glasgow Children's Benefit Inventory. For comparative purposes, responses were measured from 16 TH children that ranged in age from 6 to 9 years. At baseline, children with SNHL had poorer outcomes for internalizing problems, and all measures of the HEAR-QL compared with the TH children. There were no differences for general psychosocial and physical health. After music training, SDQ internalizing problems such as peer relationships and emotional regulation were significantly reduced for the children with SNHL. There were no changes for any outcomes for the passive control group. Additional benefits were noted for emotional and learning factors on the Glasgow Children's Benefit Inventory. However, there were no significant changes for any psychosocial and quality of life outcomes as measured by the Pediatric Quality of Life Inventory or HEAR-QL instruments. The present study provides initial evidence that music training has a positive effect on at least some psychosocial and quality of life outcomes for children with hearing loss. As they are at a greater risk of poorer psychosocial and quality of life outcomes, these findings are cause for cautious optimism. Children with hearing loss should be encouraged to participate in group-based musical activities.

Commodifying Diversity in the Marketing of a Digital Hearing Start-Up

This article will unpack the consequences of the convergence between hearing aids and mobile phones. It deploys an analysis of the marketing of two hearing and communication apps from one start-up: a smartphone-based hearing test and a music app which tweaks users’ audio to accommodate their hearing profile. This article argues that both apps and the marketing for them can be seen as examples of biomediation. Rather than marketing hearing apps through biomedical categories to people who recognize themselves as disabled or “hearing impaired,” these apps are framed as personalizing music to fit a unique “earprint.” The article draws on two concepts used to understand this “disruption of the non-disabled/disabled binary” (Puar 2017, xvii, xviii): debility and diversity. Finally, the article offers a critical perspective on the political meanings of the term “diversity” and argues that the categorization of apps has important political consequences.

Retracted] Optimization of an Intelligent Music‐Playing System Based on Network Communication

Streaming media server is the core system of audio and video application in the Internet; it has a wide range of applications in music recommendation. As song libraries and users of music websites and APPs continue to increase, user interaction data are generated at an increasingly fast rate, making the shortcomings of the original offline recommendation system and the advantages of the real‐time streaming recommendation system more and more obvious. This paper describes in detail the working methods and contents of each stage of the real‐time streaming music recommendation system, including requirement analysis, overall design, implementation of each module of the system, and system testing and analysis, from a practical scenario. Moreover, this paper analyzes the current research status and deficiencies in the field of music recommendation by analyzing the user interaction data of real music websites. From the actual requirements of the system, the functional and performance goals of the system are proposed to address these deficiencies, and then the functional structure, general architecture, and database model of the system are designed, and how to interact with the server side and the client side is investigated. For the implementation of data collection and statistics module, this paper adopts Flume and Kafka to collect user behavior data and uses Spark Streaming and Redis to count music popularity trends and support efficient query. The recommendation engine module in this paper is designed and optimized using Spark to implement incremental matrix decomposition on data streams, online collaborative topic model, and improved item‐based collaborative filtering algorithm. In the system testing section, the functionality and performance of the system are tested, and the recommendation engine is tested with real datasets to show the discovered music themes and analyze the test results in detail.

Short video recommendations based on analytic hierarchy process and collaborative filtering algorithm

In video-sharing mobile apps, personalized recommendation systems can help users quickly finding the mobile videos of interest through analyzing videos characteristics and user behaviors, and thus have been widely applied in many applications. Collaborative filtering is one of the most popular technologies in the personalized recommendation systems. To improve the performance of personalized recommendation services, this paper proposes a new personalized collaborative filtering algorithm recommendation by combining the analytic hierarchy process, which captures various video information and user behaviors, and comprehensively evaluates users’ interest in videos. Experiments on NetEase Cloud Music app cloud village dataset shows that the proposed algorithm outperforms traditional method in recall rate, accuracy rate and coverage rate, offering more accurate personalized recommendations.

THE DESIGN OF THE PROTOTYPE MOBILE MUSIC APPLICATION

The article analyses the UI and UX concepts of popular music platforms and streaming services in terms of usability and functionality. Popular analogues of music apps are analysed – Apple music, YouTube music, Yandex music, Boom. The results of a design study devoted to the problem of promoting young performers to the music market are presented. Topicality of the problem is confirmed by the growing popularity of music&#x0D; services and applications among users. The stages of developing a prototype of a music application using the Figma programme are presented. The process of team work on a prototype of a mobile application with planning of project stages and distribution of tasks between team members, using scrum technology is shown.

Music Training for Children With Sensorineural Hearing Loss Improves Speech-in-Noise Perception.

Purpose A growing body of evidence suggests that long-term music training provides benefits to auditory abilities for typical-hearing adults and children. The purpose of this study was to evaluate how music training may provide perceptual benefits (such as speech-in-noise, spectral resolution, and prosody) for children with hearing loss. Method Fourteen children aged 6-9 years with prelingual sensorineural hearing loss using bilateral cochlear implants, bilateral hearing aids, or bimodal configuration participated in a 12-week music training program, with nine participants completing the full testing requirements of the music training. Activities included weekly group-based music therapy and take-home music apps three times a week. The design was a pseudorandomized, longitudinal study (half the cohort was wait-listed, initially serving as a passive control group prior to music training). The test battery consisted of tasks related to music perception, music appreciation, and speech perception. As a comparison, 16 age-matched children with typical hearing also completed this test battery, but without participation in the music training. Results There were no changes for any outcomes for the passive control group. After music training, perception of speech-in-noise, question/statement prosody, musical timbre, and spectral resolution improved significantly, as did measures of music appreciation. There were no benefits for emotional prosody or pitch perception. Conclusion The findings suggest even a modest amount of music training has benefits for music and speech outcomes. These preliminary results provide further evidence that music training is a suitable complementary means of habilitation to improve the outcomes for children with hearing loss.

Application of Intelligent Laser 3d Visualization Technology in Mobile Terminal (Mobile APP)

Nowadays with the rapid development of mobile terminal, mobile terminal almost completely replaced the various network of our traditional basic life mode, all kinds of network application, people no longer simply need to appreciate the music, games, film and television network, but more needs to be involved in information exchange and sharing all kinds of social activities. The research of 3d image visualization technology is a comprehensive advanced technology which focuses on computer image data processing and image information display. The research purpose of this paper is mainly to provide better Suggestions for the continuous optimization of 3d image visualization technology through the research and application of intelligent laser 3d image visualization technology in mobile APP. This paper mainly analyzes the development of 3d visualization technology in the main application fields and the current status of operation and maintenance system management technology of mobile terminal APP products, and visualizes the product operation and management status of various popular mobile apps on the mobile Internet in 3d. Then, from the current mobile online music APP the application domain of a system verification, the results succeeded in statistical analysis and filter the background user 3 d data volume, its operational efficiency than the daily operational efficiency increased by 30%, background proved that using 3 d data visualization technology can effectively improve the working efficiency of the system and the background, thus effectively improving the efficiency of background management.

A Brief Music App to Address Pain in the Emergency Department: Prospective Study.

BackgroundEmergency physicians face the challenge of relieving acute pain daily. While opioids are a potent treatment for pain, the opioid epidemic has ignited a search for nonopioid analgesic alternatives that may decrease the dose or duration of opioid exposure. While behavioral therapies and complementary medicine are effective, they are difficult to deploy in the emergency department. Music is a potential adjunctive therapy that has demonstrated effectiveness in managing pain.ObjectiveOur objective was to understand the feasibility and potential for an effect of a novel music app to address acute pain and anxiety in patients admitted to an emergency department observation unit.MethodsThis prospective cohort study enrolled patients admitted to an emergency department observation unit with pain who had received orders for opioids. We gathered baseline pain and psychosocial characteristics including anxiety, sleep disturbance, and pain catastrophizing using validated questionnaires. Participants received a smartphone-based music intervention and listened to the music in either a supervised (research assistant–delivered music session 3 times during their stay) or unsupervised manner (music used ad lib by participant). The app collected premusic and postmusic pain and anxiety scores, and participants provided qualitative feedback regarding acceptability of operating the music intervention.ResultsWe enrolled 81 participants and randomly assigned 38 to an unsupervised and 43 to a supervised group. Mean pain in both groups was 6.1 (1.8) out of a possible score of 10. A total of 43 (53%) reported previous use of music apps at home. We observed an overall modest but significant decrease in pain (mean difference –0.81, 95% CI –0.45 to –1.16) and anxiety (mean difference –0.72, 95% CI –0.33 to –1.12) after music sessions. Reduction of pain and anxiety varied substantially among participants. Individuals with higher baseline pain, catastrophizing (about pain), or anxiety reported greater relief. Changes in pain were correlated to changes in anxiety (Pearson ρ=0.3, P=.02) but did not vary between supervised and unsupervised groups. Upon conclusion of the study, 46/62 (74%) reported they liked the music intervention, 57/62 (92%) reported the app was easy to use, and 49/62 (79%) reported they would be willing to use the music intervention at home.ConclusionsA smartphone-based music intervention decreased pain and anxiety among patients in an emergency department observation unit, with no difference between supervised and unsupervised use. Individuals reporting the greatest reduction in pain after music sessions included those scoring highest on baseline assessment of catastrophic thinking, suggesting there may be specific patient populations that may benefit more from using music as an analgesic adjunct in the emergency department. Qualitative feedback suggested that this intervention was feasible and acceptable by emergency department patients.

The Impact of Music on Nociceptive Processing.

Music has been shown to modulate pain, although the impact of music on specific aspects of nociceptive processing is less well understood. Using quantitative sensory testing (QST), we assessed the impact of a novel music app on specific aspects of nociceptive processing. Within-subjects paired comparison of pain processing in control vs music condition. Human psychophysical laboratory. Sixty healthy adult volunteers. Subjects were assessed for baseline anxiety, depression, and catastrophizing using validated questionnaires. QSTs measured included 1) pain threshold and tolerance to deep muscle pressure, 2) pain with mechanical pinprick, 3) temporal summation of pain (TSP) with a repeated pain stimulus, and 4) conditioned pain modulation (CPM) with a second painful stimulus. QSTs were performed in the absence and presence of music delivered through a music app. We found an increase in pressure pain thresholds in both the forearm (P = 0.007) and trapezius (P = 0.002) with music, as well as a decrease in the amount of pinprick pain (P < 0.001) and TSP (P = 0.01) with music. Interestingly, CPM was also significantly diminished (P < 0.001) in the music condition. No significant difference in cold pain, anxiety, or situational catastrophizing was observed with music. Higher baseline pain catastrophizing scores were associated with less music-induced pressure pain reduction. Several measures of mechanical pain sensitivity were reduced with music. TSP, a measure of central sensitization, also decreased with music, but CPM, a measure of descending modulation of pain, was not further augmented by music.

Music Therapy by Analyzing EEG Signals

The role emotions play in our life is inevitable right from the way we interact with other humans, in our decision-making process and even in the way we see the people around us. In this technological world, human computer interaction is almost everywhere. Right from fingerprint access in our mobile phones to face recognition- based attendance patterns at work places, human computer interaction has formed a strong base in day-today activities of human life. In such human computer interaction, EEG has gathered attention since it can provide simple, cheap, precise methods of emotion recognition. In this proposed work, a Music app is created which plays songs based on the emotion recognized from the given EEG signal. In MATLAB, the trained EEG signals are given and it is further processed to extract the features. The extracted features are classified to find the emotion and the result is sent to the music app. The music app which contains the playlist plays accordingly.

The Application of Bonang Gamelan Music Based on Mobile Application

The application of bonang gamelan music based on mobile application was developed with the aim of maintaining the tradition of traditional musical instruments in the society of this modern day. Users can recognise and learn how to play the traditional musical instruments, especially bonang gamelan by using mobile phone technology. This application provides convenience for users without spending time and money and they can also access it anywhere. The development of this animated application is based on the ADDIE methodology and uses Adobe Flash software as a platform to develop this music app. The respondents involved in the development of this music app consist of six (6) specialists in bonang gamelan music and IT professionals. The user respondents were ten (10) students of the Faculty of Technical and Vocational Education (FPTV). The evaluation of this application was carried out using questionnaires. Overall, this application succeeds in meeting the objectives and goals set out in the analysis phase although it still has its own weaknesses. It is hoped that the development of bonang gamelan music application based on mobile application will benefit all societies.

Assessing Abuse of Dominance in the Platform Economy: A Case Study of App Stores

While online platforms are an enforcement priority for European competition authorities, the latter are only now turning their attention to app stores (after having scrutinized, among others, hotel booking websites, search engines and online marketplaces). However, app stores can be characterized as the quintessential multisided platform market, where a few players (Apple and Google) serve as intermediaries between third-party suppliers (app developers) and consumers in exchange for a commission fee. Moreover, these app stores are embedded in intricate mobile ecosystems with varying degrees of ‘openness’ to third parties. Increasingly, these third parties are complaining about allegedly anticompetitive practices. In particular, the operators of app stores—which are vertically integrated into the supply of apps—are said to preference the distribution of their own apps over those of competitors. Such ‘self-preferencing’ can take many forms. Music streaming app Spotify, for example, complains that it is being treated unfairly in comparison with Apple’s music app because of exorbitant commission fees, delayed approvals, restricted promotions, and limited integration with Apple’s broader ecosystem. Other apps claim they have simply been removed when the app store operator introduced its own competing app. App stores thus constitute the ideal case study to clarify the assessment of abuse of dominance in the platform economy. Firstly, this implies correctly delineating markets: do app stores operate in one or multiple markets (one for each ‘side’ of the platform)? Secondly, one needs to establish market power: do network effects entrench the market power of app stores, or is any market power transient in a digital context? Thirdly, under which theory of harm should one qualify the conduct of app stores: refusal to supply, margin squeeze, tying — or perhaps an independent theory of self-preferencing? Fourthly, can seemingly anticompetitive practices not be justified by the need for effective platform management? And finally, how does the new P2B Regulation impact the freedom of app store operators? In answering these questions, this paper offers a guide to both authorities and concerned businesses, when it comes to app stores as well as other multisided platforms.

Značaj 5G mreže na saobraćaj i autoindustriju u sklopu IoT - internet stvari

This paper is based on research into the representation of modern Information Technology using the 5G network, which gives us great technological opportunities in the automotive industry. The Internet of Things (IoT) gives us great opportunities for smart cities, namely, smart streets that are driven by technologically advanced new generation cars equipped with smart vehicle control devices suitable for all traffic conditions, ranging from heavy traffic jams to various weather conditions. 5G is literally driving innovation, as 5G is an important technology for the automotive industry. With 5G we get better coverage, higher capacity, lower latencies (wait times) and much higher data rates. This will allow your car not only to use Spotifi (a free music streaming and playback app) for the long haul, but will also improve the ride itself, gathering information from other cars, pedestrians, traffic lights and even the road itself. It is run by a cloud-based computer (thousands of computers in particular) that calculates and adjusts our vehicle every millisecond (current situation). The self-contained "intelligence" of our car from our own computer will be present as a backup in case we lose our internet connection or play an ancillary role in managing the vehicle. Even without the internet, 5G communication between cars and cars, roads and pedestrians would play an important role in safely switching from A to B.

Exploring the relationship between personality structure and smartphone usage

This study aimed to investigate the relationship between personality dispositions and actual and observed behavior expressed through several smartphone apps categories (relying on a built-in function of the smartphone, the app usage from the battery information menu), as well as to investigate the association between personality traits and the number of installed apps per category. The research sample consisted of 341 participants that monitored their app usage. In addition, participants completed measures related to personality structure (Big Five, HEXACO, and the Dark Triad). The findings of the study showed that personality dispositions predicted smartphone apps usage in various categories such as entertainment apps, music apps, gaming apps, business apps, e-health apps, and dating apps. In conclusion, this study showed that actual behavior expressed through various app categories is associated with broad and important personality dimensions. The findings of this research can be useful in integrating actual behavior in psychological research.