Music Singing Research Articles

IoT Networks-Aided Perception Vocal Music Singing Learning System and Piano Teaching with Edge Computing

The research on Internet of Things (IoT) network and edge computing has been a research hotspot in both industry and academia in recent years, especially for the ambient intelligence and massive communication. As a typical form of IoT network and edge computing, the intelligent perception vocal music singing learning system has attracted the attention of researchers in education and academia. Piano teaching is an important course for music majors in higher education. Strengthening piano teaching can cultivate outstanding piano talents for the country and promote the development of music art. This paper applies IoT perception technology to piano teaching, constructs an intelligent piano teaching system, and uses edge computing algorithms to accurately deploy sensors into the system by exploiting the ambient intelligence and massive communication. The system includes data acquisition, data perception, data monitoring, and other modules, making piano teaching more humanized and intelligent. Experiments show that the research in this paper provides important guidance for the application of IoT networks and edge computing, especially for the ambient intelligence and massive communication.

A Musical Allusion in the Faerie Queene

We owe a great debt to Judith Anderson for teasing out so many meanings in the first line of The Faerie Queene, ‘A Gentle Knight was pricking on the plaine.’1 But there is yet more to discover. The line surely alludes to ‘pricksong’, music sung from notes ‘pricked out’ on a page, and ‘plainsong’, music ‘developed for the unaccompanied unison singing of Christian liturgies’ (plainsong, n., OED 1). The two invariably appeared together in treatises on music. The Protestant theologian Thomas Becon (1512/1513–1567), in his Relikes of Rome (originally published in 1560), argued that neither form of signing, enjoyable as they undoubtedly were, should have been permitted into the true church: Pope Gelasius, Pope Gregory ye fyrste S. Ambrose with other, brought in fyrst of all ye playne song into the churches … Pope Vitalian being a lustye singer and freshe couragious musition hymself, brought into the church pricksong descant, & all kynde of sweete and pleasaunt melodye. And bycause nothing should wante to delight the vayne, folysh and ye idle eares of fond & fantastical men, he ioyned ye Organs to ye curious musike. Thus was Paules preaching & Peters praying tourned into vaine singing & childysh playing, unto ye great losse of time, & unto ye utter undoing of Christen mens soules, whiche live not by singing & pipyng, but by every worde yt coometh out of ye mouthe of God.2

A Tristimulus Analysis-Based Approach for Tonic-Note Selection and Voice Range Determination for Music Singers

In this work, we consider the problem of tonic note selection and voice range determination for Indian music singers. A tonic note is a reference note of a singer that decides the pitches of the other notes used by the singer. The ratios of various notes to the tonic note are fixed by the scale used by the singer. A novel graphical method for tonic note selection is proposed. In this method, tristimulus diagrams are used to represent notes in the Aroh and Avroh. The notes are represented by a point in the tristimulus diagram. The locations of the notes in the tristimulus diagram represent their perceptual attributes. The tristimulus diagram is divided into grey and white areas. The notes going in the grey area are designated as perceptually inferior and accordingly, a tonic note is suggested such that all the notes remain in the white region of the tristimulus diagrams. As compared to state-of-the-art, the proposed method is more convenient to use.

Atish-e Zaban: The Intercultural Musical Language of Sandeep Bhagwati and the Modalities of the Human Voice

This article is a musical analysis and formal study of Sandeep Bhagwati’s piece, Atish-e Zaban (composed and premiered in 2006). It touches on modalities of composing vocal music and, in particular, aspects of Bhagwati’s methods for creating intercultural encounters and sonic situations. Atish-e Zaban is a comprovisation piece scored for six a capella new music singers based on a series of poems in Urdu by the Pakistani poet, Faiz Ahmad Faiz (1911-1984). This text uncovers layers of Bhagwati’s overall approach to vocal composition, providing an analytic guide for listening and performing, and describing the comprovisation methods used to express the connotations of the poems.

VOCAL QUARTETS – TRADITION AND MODERNITY

Working in large professional choirs and ensembles extremely evolve the musical singing skills andabilities of each singer. The performance of complicated composer scores, giving "life and emotionality" to thenotes, contributes to the further development, improvement and professional experience of singing choristers. Inwell-established folk choirs and ensembles, as well as the institutions for higher musical education, good performersmeet, and more and more often we witness new vocal quartets - successors to already existing ones.The aim of each newly formed vocal quartet is, on the one hand, to assimilate and imitate an existing one, but on theother hand, to achieve a new, better sonority, vocal unification, mastery of a stylish and effective concert repertoire,attractiveness of its presentation and upgrading at the level achieved by previous quartets, up to this point.. In thefollowing lines, I will present vocal quartets arranged chronologically by their creation: "Sestri Kushlevi", "Balgarka- Dzhuniar", "Slavey" and "Abagar"

Tchinguilile: infâncias da Ganda Crianças “de lá”

Recently, an increasing number of researchers in different parts of the world have been studying childhood from a point of view that highlights children who are considered “peripheral” – far from the ideal model associated with Western countries. We began with the intention of getting to know African children in Angola, informed by the belief that the preservation of languages is important in maintaining social knowledge and traditions. This text describes a preliminary study carried out in a culturally rich location with strong traditions, but which is also marked by processes of cultural denial and devaluation. According to Ndombele and Timbane (2020), most Angolan children learn Portuguese at age seven, when they start school, especially in rural areas. This fact hinders the literacy learning process, and presents the risk of the disappearance of some native languages. Many schools teach children only in Portuguese. When visiting a school in Ganda, a rural area of Benguela, we found a group of children who, primarily through the games they played, keep the Umbundu language alive, and with that the identity and culture of their ancestors. Building on this, these children and their teachers created a syllable association game based on the music sung as they played. The game had two modalities - in the Umbundu language and in the Portuguese language – and functioned as a bilingual pedagogical tool. In the initial moment of offering the game for testing with the children, it was discovered that by singing the song of the game and discussing the possible solutions by themselves, they were able to make correct associations of the syllables in Umbundu, which they then translated into Portuguese. Thus, a resource was created together with the teachers, which, in addition to valuing the native language of the population, allowed the use of children's knowledge to create a didactic resource. In addition, it was possible to encounter the concept of childhood in the current world, deconstructing the idea of a single and ideal model, especially in light of those children who bring habits from home that do not always harmonize with the school routine, and often clash with Euro/Western model, which is based on age separation of classes as a requirement to guarantee learning, and tend to devalue other exchanges that help children learn.

Analysis of Computer Visualized Sound Parameters of Vocal Music Singing Based on Deep Learning

The first impression of the early historical recordings on the contemporary audience is often not ideal; the overall speed is relatively fast, the rhythm is relatively loose and free, and the strings are slippery. In recent years, a large number of research achievements have emerged at home and abroad that apply computer visualization analysis methods to music performance practice. It is feasible and necessary to gradually apply the visual audio parameter analysis method to music research and performance practice teaching. In this study, a prosody hierarchy prediction model based on the CNN (convective neural network) is proposed, and word vectors are added as semantic features. The DL (deep learning) method is applied to vocal music recognition, and a recognition method based on the DL framework is proposed by combining traditional audio signal processing methods. After introducing word vectors as features in the CNN model, the F-score value increased from 77% to 80%. The feasibility of the proposed vocal music recognition algorithm based on DL is verified by experiments.

Azerbaycan'daki düğün törenlerinin çeşitliliği bağlamında Nahçıvan bölgesinin düğün gelenekleri

Bu makalenin amacı Azerbaycan müzik folklorünün önemli öğelerinden biri olan düğün törenlerinin Nahçıvan yöresine ait özelliklerinin kültürel ve müzikal açıdan incelenmesini amaçlamaktadır. Araştırma modeli, nitel araştırma yöntemlerinden durum çalışması ve doküman analizi tekniklerine uygun olarak tasarlanmıştır. Düğün türkülerinin derlenmesi ve Sibelius Music Notation Software programı ile nota analizleri yapılmıştır. Araştırmada, Nahçıvan bölgesinin seçilmesinin nedeni bölgenin folklorik özellikleri açısından zengin içeriğe sahip olması ve folklorik doğasının korunmasıdır. Araştırmada veri toplama araçları olarak ilgili dokümanlar ve görüşme yöntemi kullanılmıştır. Araştırmada Nahçıvan düğün ritüelinin öğeleri ve müzikal özellikleri ilgili kaynaklar ve görüşmeler ışığında sunulmuştur. Düğün ritüelinin unsurlarından icra edilen eserler müzikal açıdan analiz edilmiştir. Nahçıvan yöresi düğünlerinde; kız beğenme, söz kesme, elçilik, nişan, bayramlık, kız düğünü, kına gecesi, erkek düğünü, duvak töreni, el öpme aşamaları bulunmaktadır. Yallı Dansı, yörenin önemli bir müzikal sembolüdür. Bu dans topluca yapılır, çeşitliliği ve dans ezgileri kendine özgüdür. Düğünlerde kültürel aktarımla günümüze kadar gelen oyunlar Köçeri, Tanzara, Tello, Galadan-galaya, Urfanı’dır. Araştırmada, Hakışta, Gülüm Hey, Kına Gecesi ve Gelin Uğurlama türkülerinin nota analizleri yapılarak sunulmuştur.

Does Reality Television-Style Singing Influence Singing Self-Concept?

Due to upward social comparison, we hypothesized that exposure to reality television singing (a technically demanding style of contemporary commercial music singing) would negatively influence singing self-concept compared to hearing amateur singers or plain, unembellished singing by professionals. A between-subjects, online experiment was used. A sample of 212 individuals (Mage=33.14; 69.30% female) participated in the study. After completing a background section, participants were randomly allocated into one of the experimental conditions (hearing one of four versions of a well-known song: a control version with piano and no singing, amateur singing, professional plain singing, and professional singing in the style of reality television singing). Participants were then asked to judge the performance they heard and to respond to items concerning their singing self-concept (including singing ability). A series of ANCOVAs was used to examine the impact of the experimental condition on the participants' performance judgments and singing self-concept. The amateur singing was judged as the lowest quality. While there was no significant difference by experimental condition regarding possessing good singing ability, the experimental condition did affect people's singing aspirations and perceived ability to sing along with the performers. The pattern of results suggests that exposure to reality television-style singing may have negative impacts on people's singing self-concept via upward social comparison. Self-concept has been identified as an important predictor of musical engagement and participation and plays a role in motivating action. These results encourage music educators, singing voice pedagogues, and community musicians seeking to promote musical and singing participation to be aware of cultural influences on an individual's singing self-concept.

Intelligent Analysis of Music Education Singing Skills Based on Music Waveform Feature Extraction

In order to improve the effect of intelligent analysis of singing skills in music education, this paper conducts an intelligent analysis of singing skills in music education with the support of music waveform feature extraction technology. Moreover, this paper uses the traditional IMM optimal waveform selection algorithm to solve the model and analyzes the tracking effect and the changes of transmission parameters. Compared with the fixed transmission parameters, the algorithm can effectively reduce the tracking error. From the experimental analysis, it can be seen that the intelligent analysis system for music education singing skills based on the extraction of music waveform features has good effects and can effectively promote the improvement of music singing skills and the improvement of music teaching effects.

Analysing the use of music to facilitate social interaction in care home residents with dementia: Narrative synthesis systematic review.

Individuals with dementia residing in care homes can rely heavily on care staff to access activities and meaningful interactions. Previous research suggests that care home interactions can be short, fragmented and task-orientated due to staff workload and residents' language impairments. However, music has the potential to be an alternative communication form that remains intact in the later stages of dementia. This systematic review aims to explore how care home music interventions can facilitate social interactions. A narrative synthesis was conducted to explore the mechanisms behind how and why care home music intervention facilitate social interactions. The four-element framework guided analysis; (1) Developing a theory, (2) Developing a preliminary synthesis, (3) Exploring relationships, (4) Assessing robustness. The final synthesis included 23 articles. The studies consisted of music therapy sessions, personalised music listening, structured music singing or instrument playing sessions and music therapeutic care. Despite the difference in music interventions, most studies reported an increase in residents' sociable verbal and non-verbal communication and a decrease in unsociable communication. Music interventions allowed residents to reminisce, express themselves, focus and connect with others. The studies highlighted music interventions are accessible to all residents with dementia despite their impairments. The adaptability allows individuals to continue to connect and express themselves even when language deteriorates. More research is needed into the enablers and barriers to implementing interventions into practice, as this systematic review has highlighted that some form of music intervention for all residents can be highly beneficial. Care homes use of music could increase social interactions and meaningful activities.

Music Singing Based on Computer Analog Piano Accompaniment and Digital Processing for 5G Industrial Internet of Things

At present, most professional music colleges and universities have made large-scale investment in computer software and hardware equipment and have also continuously opened various relevant courses. However, how to give full play to the advantages of computer music at the software level and make software and hardware systems suitable for music education application is still a subject being explored. The industrial Internet of Things turns every link and equipment in the production process into a data terminal, comprehensively collects the underlying basic data, carries out deeper data analysis and mining, and improves efficiency. To adapt to the trend of the times, digitization is the inevitable trend of the development of music accompaniment, and the deep integration of computer is an important way to realize digitization. Combined with the basic music theory and digital processing method, this paper designs the virtual piano auxiliary accompaniment and realizes the digital music accompaniment of artificial intelligence through digital signal processing. This paper will start with the auditory effect of auxiliary singing, take the rhythm and style of piano auxiliary accompaniment as the research object, build the accompaniment generation tool through the piano music simulation system model, and generate the accompaniment chord of the main melody by extracting the style, treble, and other characteristics of the main melody. The simulation results show that the frequency response is evenly distributed, the model effectively uses the harmonic structure information, and the extracted feature dimension is only 88. The reduction of feature dimension can save the time of subsequent processing and has the characteristics of real time, automation, embedded (software), security, and information interoperability.

Integrated Sports Medicine: A First Investigation of Heart Performance in Opera Singers.

Introduction: Opera singers are continuously subjected to cardiopulmonary exercise. The impact on cardiac performance has not been studied. Our aim was to verify the impact of singing on heart performance, particularly by the evaluation of ECG and deformation parameters as strain, rotation and twist. Methods: A population of 17 OS (opera singers) underwent a 12-lead ECG and 2D echocardiographic evaluation. A post-processing analysis of the images to obtain the deformation parameters was included. The data expressed as mean as SD were compared to a group of 15 high-level athletes (A). Results: In both groups, the ECG parameters, 2D standard systodiastolic parameters and pulmonary pressure were normal, and in the OS group—LVDd: 47 ± 2.75 mm, LVSd: 31 ± 3.38 mm, E/A: 1.08 ± 0.23, RV: 27.63 ± 3.38 mm; in the A group—LVDd: 51 ± 1.50 mm, LVSd: 32 ± 2.50 mm, E/A: 2.37 ± 0.73, RV: 25.00 ± 3.00 mm. Indexed LV mass was significantly greater in athletes, while ejection fraction (EF) results were higher in OS. Deformation parameters did not differ among the two groups, with the exclusion of GLS expressing a major value in athletes. Rotational parameters resulted in the OS group similar to the athletes. Conclusions: OS show myocardial performance as high as the athletes. The data obtained suggest a positive impact of regular training as an opera singer. Deformation parameters highlight the fitness status in this group with a specific remodeling in RV in the presence of normal PP. Classic music singing appears to have a training effect on the heart. Further studies are necessary to confirm this hypothesis.

Effects of Three Music Therapy Interventions on the Verbal Expressions of Children With Autism Spectrum Disorder: A Combined Single-Subject Design.

The specific aims of this research study were to (a) examine the differential effect of three different music interventions, namely the interactive music playing therapy (“music and singing”), interaction music singing therapy (“singing”), and receptive music therapy (“listening”) studying the varying latency periods in the response time it took 3-year-old children diagnosed with autism spectrum disorder (ASD) to elicit the target word vocally; and (b) assess the index of happiness of children with ASD after the implementation of the three music interventions, which can, in turn, be used to influence their overall quality of life through this specific intervention. This study used a combined single-subject research design consisting of delayed multiple baseline across the participants and a multielement design to compare the effects of each music intervention technique targeting the child’s verbal response during playback of a practiced song. Findings demonstrated “singing” to be associated with the lowest latency compared to the other two interventions (“listening” and “singing and music”) across participants. Additionally, happiness levels varied from neutral to happy, signifying an overall positive experience during participation in the music applied behavior analysis (ABA) intervention.

The Reform of Piano Art Guidance in Vocal Music Teaching Mode in Colleges and Universities

Piano art instruction is a kind of art teaching method to train students. In music practice, piano learners can realize their mastery and understanding of music knowledge through different types, different personalities and styles. Therefore, applying it to vocal music singing can not only improve the students' level of song creation and performance skills, but also improve their aesthetic ability and appreciation of vocal music works. Therefore, the application of piano art teaching mode to vocal music singing can achieve its comprehensive quality training and comprehensive development for college students. This paper mainly discusses this issue in depth, hoping to provide some help in the future vocal music education.

Research on Music Singing Module Teaching in Senior High School under the New Curriculum Standard

The new standards of high school music curriculum has brought a series of changes in the concept of curriculum, its design and evaluation etc. Accordingly, the revised teaching materials also make relevant changes under the guidance of the music curriculum standards. Thus singing, as one of the compulsory modules, needs to be adjusted accordingly in teaching.

Design and application of system platform in piano teaching based on feature comparison

Traditional piano teaching management is mainly carried out manually, which has problems such as low management efficiency and management confusion, which seriously restricts the development of piano teaching activities. In order to make up for the limitations of piano music teaching materials and the shortage of music teachers in some areas, automatic scoring of computers was introduced into music learning, and a piano music singing system based on feature comparison was developed. The difference between the scoring system and the existing commercial music scoring system on the internet lies in the educational direction of the system, which is mainly reflected in the design and implementation of the feedback evaluation module. The system use melody feature extraction, similarity comparison and pitch data analysis to perform automatic singing scores, locate errors, estimate the cause of errors, and provide learners with detailed feedback and guidance suggestions. Application case studies show that the system has practical value.

A Remote Music-Based Service-Learning Project to Support Isolated Older Adults in Long-Term Care

Growth of the aging population warrants a commitment to teaching students to work effectively with older adults. In an online university course focused on inclusive music practices, students engaged in an extensive service-learning project to enhance course learning objectives and increase sensitivity to disability, social justice, and inclusion issues across the lifespan. Based on community needs, one student aimed to reduce isolation among older adults living in a long-term care facility. The student selected this target and population because of the detrimental effects of isolation on psychosocial, cognitive, and physical well-being; and reduced access to interactive programs and services among older adults living in residential facilities during the COVID-19 pandemic. Components of the project included a service-learning proposal, an annotated bibliography, an interview with the community partner, three activity designs, and a reflective essay. Based on existing research regarding interventions used to reduce isolation among older adults, the three activities the student designed were music bingo, interactive singing, and stretches to music. Throughout the service-learning process, the student consulted the community partner to ensure relevance of the activities. Principles of Universal Design for Learning (UDL), such as providing multiple visual and auditory means to engage with materials, enhanced accessibility of the activities. In this presentation, the student and course instructor will reflect on this case experience and the value of service-learning to foster professional skill development, engaged citizenship in working effectively with older adults, and an appreciation of the need for justice, equity, and fairness for all community members.

149 Myocardial performance in opera singers

Abstract Aims Opera singers are subjected to continuous exercise in the cardiopulmonary district, however the impact on cardiac performance has not been studied in depth. In addition to the standard echo parameters, the deformation one offer the possibility to evaluate more clearly the myocardial performance. Objective was to verify the impact of singing in heart’s performance by the evaluation of traditional and particularly deformation parameters as strain, rotation, and twist. Methods and results A population of 17 OS (opera singers, aged 50 ± 5 years) (M/F: 7/9; 5 sopranos; 2 tenors; 2 contraltos; 2 basses) have been submitted to an echocardiographic evaluation (MLX8exp Release F100001) by standard 2D and deformation parameters (Figure 1). The data expressed as mean as SD were compared to an high level athletes (A) group (M 16) regularly trained. T-Student test for paired data was used and P < 0.05 was considered significant. All the 2D standard systo-diastolic parameters were within the normal range and the pulmonary pressure (PP) as well in both. In SO group were: LVDd: 47.31 ± 3.77 mm; LVSd: 30.48 ± 4.42 mm; E/A: 1.07 ± 0.32; RV: 27.63 ± 4.50 mm; in A group: LVDd: 50.81 ± 2.97 mm; LVSd: 31.44 ± 4.26 mm; E/A: 2.68 ± 1.67; RV: 27.63 ± 4.50 mm. As expected Cardiac mass index (CMI) was significantly greater in athletes, while the ejection fraction (EF) resulted to be higher in OS. Despite the deformation parameters were not different among the two groups, with the exclusion of GLS expressing a major value in athletes, on the contrary the rotational parameters resulted, in OS group similar to the athletes and in agreement with an high performance status. Conclusions OS show an high myocardial performance as athletes. The data obtained are suggestive for a positive impact of regular training as an opera singers. Deformation parameters highlight the fitness status in this particular group. Classic music singing seems to have a training effect on the heart. Further studies will be necessary to confirm this hypothesis

Investigating Musical Aptitude Examination with a Many-Facet Rasch Model

The aim of this study is to show how a many-facet Rasch measurement model (MFRM) can be used for quality control whilst monitoring a musical aptitude examination. The data used in this study was gathered from a musical aptitude examination which was applied in 2019-2020 academic year for selecting teacher candidates to a music education department in one public university in Turkey. In this study, the total scores of musical singing and playing exams were used. The study group of this research is consisted of 164 candidates and five specialists who rated the musical performance of candidates. A three-facet Rasch model was used including student (n=164), rater (n=5), and task (n=2). Data was gathered with fully crossed design. MFRM analysis showed good fit the data. The reliability of separation index for students was very high and it indicated that the musical aptitude examination differentiate among students in terms of their musical performance. The reliability of the rater separation index was found as 0.00 and it suggested that raters rated students’ musical performance with very similar levels of severity/leniency and they were interchangeable. The results of task measure showed that musical singing task is harder than musical playing task. The results of bias analyses showed that there is no bias based on rater by task and rater by student interactions. However, student by task interaction has some bias measures.