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Journal articles on the topic 'Singing voice recognition'

Author: Grafiati

Published: 1 June 2024

Last updated: 31 July 2025

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1

Wu, Wenqin, and Joonwhoan Lee. "Phoneme Recognition in Korean Singing Voices Using Self-Supervised English Speech Representations." Applied Sciences 14, no. 18 (2024): 8532. http://dx.doi.org/10.3390/app14188532.

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In general, it is difficult to obtain a huge, labeled dataset for deep learning-based phoneme recognition in singing voices. Studying singing voices also offers inherent challenges, compared to speech, because of the distinct variations in pitch, duration, and intensity. This paper proposes a detouring method to overcome this insufficient dataset, and applies it to the recognition of Korean phonemes in singing voices. The method started with pre-training the HuBERT, a self-supervised speech representation model, on a large-scale English corpus. The model was then adapted to the Korean speech d

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Wang, Xiaochen, and Tao Wang. "Voice Recognition and Evaluation of Vocal Music Based on Neural Network." Computational Intelligence and Neuroscience 2022 (May 20, 2022): 1–9. http://dx.doi.org/10.1155/2022/3466987.

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Artistic voice is the artistic life of professional voice users. In the process of selecting and cultivating artistic performing talents, the evaluation of voice even occupies a very important position. Therefore, an appropriate evaluation of the artistic voice is crucial. With the development of art education, how to scientifically evaluate artistic voice training methods and fairly select artistic voice talents is an urgent need for objective evaluation of artistic voice. The current evaluation methods for artistic voices are time-consuming, laborious, and highly subjective. In the objective

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Liusong, Yang, and Du Hui. "Voice Quality Evaluation of Singing Art Based on 1DCNN Model." Mathematical Problems in Engineering 2022 (July 30, 2022): 1–9. http://dx.doi.org/10.1155/2022/2074844.

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Traditional speech recognition still has the problems of poor robustness and low signal-to-noise ratio, which makes the accuracy of speech recognition not ideal. Combining the idea of one-dimensional convolutional neural network with objective evaluation, an improved CNN speech recognition method is proposed in this paper. The simulation experiment is carried out with MATLAB. The effectiveness and feasibility of this method are verified by simulation. This new method is based on one-dimensional convolutional neural network. The traditional 1DNN algorithm is optimized by using the fractional pr

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Huang, Chunyuan. "Vocal Music Teaching Pharyngeal Training Method Based on Audio Extraction by Big Data Analysis." Wireless Communications and Mobile Computing 2022 (May 6, 2022): 1–11. http://dx.doi.org/10.1155/2022/4572904.

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In the process of vocal music learning, incorrect vocalization methods and excessive use of voice have brought many problems to the voice and accumulated a lot of inflammation, so that the level of vocal music learning stagnated or even declined. How to find a way to improve yourself without damaging your voice has become a problem that we have been pursuing. Therefore, it is of great practical significance for vocal music teaching in normal universities to conduct in-depth research and discussion on “pharyngeal singing.” Based on audio extraction, this paper studies the vocal music teaching p

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Owen, Ceri. "On Singing and Listening in Vaughan Williams's Early Songs." 19th-Century Music 40, no. 3 (2017): 257–82. http://dx.doi.org/10.1525/ncm.2017.40.3.257.

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Vaughan Williams's celebrated set of Robert Louis Stevenson settings, Songs of Travel, has lately garnered liberal scholarly attention, not least on account of the vicissitudes of its publication history. Following the cycle's premiere in 1904 it was issued in two separate books, each gathering stylistically different songs. Though a credible case for narrative coherence has been advanced in numerous accounts, the cycle's peculiar amalgamation of materials might rather be read as a signal to its projection of multiple voices, which unsettle the longstanding critical tendency to map a single pr

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Muhathir, R. Muliono, N. Khairina, M. K. Harahap, and S. M. Putri. "Analysis Discrete Hartley Transform for the recognition of female voice based on voice register in singing techniques." Journal of Physics: Conference Series 1361 (November 2019): 012039. http://dx.doi.org/10.1088/1742-6596/1361/1/012039.

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Yuan, Weitao, Boxin He, Shengbei Wang, Jianming Wang, and Masashi Unoki. "Enhanced feature network for monaural singing voice separation." Speech Communication 106 (January 2019): 1–6. http://dx.doi.org/10.1016/j.specom.2018.11.004.

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Hu, Meihui, Zhiwei Xiang, and Kai Li. "Application of Artificial Intelligence Voice Technology in Radio and Television Media." Journal of Physics: Conference Series 2031, no. 1 (2021): 012051. http://dx.doi.org/10.1088/1742-6596/2031/1/012051.

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Abstract With the application of artificial intelligence in various fields, more and more people see the contribution of artificial intelligence technology to the development of the industry, and put more energy in the research of artificial intelligence language, and strive to provide better technical support for the development of more industries. In radio and television media, artificial intelligence voice technology can play a very important value, it can effectively improve the efficiency and quality of traditional audio work, optimize the singing system, broadcasting system and retrieval

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Liu, Pengfei, Wenjin Deng, Hengda Li, et al. "MusicFace: Music-driven expressive singing face synthesis." Computational Visual Media 10, no. 1 (2023): 119–36. http://dx.doi.org/10.1007/s41095-023-0343-7.

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AbstractIt remains an interesting and challenging problem to synthesize a vivid and realistic singing face driven by music. In this paper, we present a method for this task with natural motions for the lips, facial expression, head pose, and eyes. Due to the coupling of mixed information for the human voice and backing music in common music audio signals, we design a decouple-and-fuse strategy to tackle the challenge. We first decompose the input music audio into a human voice stream and a backing music stream. Due to the implicit and complicated correlation between the two-stream input signal

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10

Liu, Lilin. "The New Approach Research on Singing Voice Detection Algorithm Based on Enhanced Reconstruction Residual Network." Journal of Mathematics 2022 (February 23, 2022): 1–11. http://dx.doi.org/10.1155/2022/7987592.

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With the development of Internet technology, multimedia information resources are increasing rapidly. Faced with the massive resources in the multimedia music library, it is extremely difficult for people to find the target music that meets their needs. How to realize computer analysis and perceive users’ needs for music resources has become the goal of the future development of human-computer interaction capabilities. Content-based music information retrieval applications are mainly embodied in the automatic classification and recognition of music. Traditional feedforward neural networks are

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Le, Dinh Son, Huy Hung Ha, Dinh Quan Nguyen, Van An Tran, and The Hung Nguyen. "Researching and designing an intelligent humanoid robot for teaching English language." Ministry of Science and Technology, Vietnam 64, no. 6 (2022): 35–39. http://dx.doi.org/10.31276/vjst.64(6).35-39.

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This article presents the design of the mechatronic system for an intelligent humanoid robot, which is employed for teaching the English language. The robot’s appearance looks like a boy, at 1.2 m tall and 40 kg weight. The robot consists of an upper-body with 21 degrees of freedom, a head, two arms, two hands, a ribcage; and a mobile platform with three omnidirectional wheels. The control system consists of a computer that controls the entire operation of the robot, including motion planning, voice recognition and synchronization, face recognition, gestures, receiving commands from the remote

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Nicoara, Olga. "Cultural Leadership and Entrepreneurship As Antecedents of Estonia’s Singing Revolution and Post-Communist Success." Baltic Journal of European Studies 8, no. 2 (2018): 65–91. http://dx.doi.org/10.1515/bjes-2018-0016.

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AbstractThe Baltic people of Estonia, Lithuania, and Latvia gained recognition with their successful use of a cultural tool, singing folkloric songs, to protest collectively against their common Soviet oppressor in the summer of 1988, preceding the collapse of the Soviet Union. Rational-choice theorists have argued that large rebellious movements are paradoxical because the larger the number of potential revolutionaries, the greater the leadership, participation, and coordination problems they face (Olson, 1971; Tullock, 1974). This paper investigates Estonia’s Singing Revolution and illustrat

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Shen, Dan, and Wenjia Zhao. "A Method for Improving the Pronunciation Quality of Vocal Music Students Based on Big Data Technology." International Journal of Web-Based Learning and Teaching Technologies 19, no. 1 (2023): 1–18. http://dx.doi.org/10.4018/ijwltt.335034.

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With the development of internet technology, big data has been used to evaluate the singing and pronunciation quality of vocal students. However, current methods have several problems such as poor information fusion efficiency, low algorithm robustness, and low recognition accuracy under low signal-to-noise ratio. To address these issues, this article proposes a new method for evaluating sound quality based on one-dimensional convolutional neural networks. It uses sound preprocessing, BP neural networks, wavelet neural networks, and one-dimensional CNNs to improve pronunciation quality. The pr

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14

Kadiri, Sudarsana Reddy, Paavo Alku, and B. Yegnanarayana. "Analysis and classification of phonation types in speech and singing voice." Speech Communication 118 (April 2020): 33–47. http://dx.doi.org/10.1016/j.specom.2020.02.004.

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15

Meiyanti, R., A. Subandi, N. Fuqara, M. A. Budiman, and A. P. U. Siahaan. "The recognition of female voice based on voice registers in singing techniques in real-time using hankel transform method and macdonald function." Journal of Physics: Conference Series 978 (March 2018): 012051. http://dx.doi.org/10.1088/1742-6596/978/1/012051.

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16

Wang, Yujing, and Chul-Hee Lee. "Recognition and Improvement of Singing Software Using Voice Synthesis Technology Based on In-Depth Interviews with Experts." Journal of Digital Contents Society 26, no. 1 (2025): 149–59. https://doi.org/10.9728/dcs.2025.26.1.149.

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17

Lestariningsih, Tri, Hendrik Kusbandono, Angger Binuko Paksi, Yosi Afandi, and Ikhwan Baidlowi Sumafta. "Development of Game-based Learning Media for Early Childhood Animal Recognition." East Asian Journal of Multidisciplinary Research 2, no. 8 (2023): 3507–16. http://dx.doi.org/10.55927/eajmr.v2i8.5219.

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Cognitive learning activities through the introduction of animals in Early Childhood (AUD) have a very important role in developing all children's potential. One of them is the potential intelligence of children. AUD is a pretty good stage for training the brain of a child, where they will be more interested and active when they see a game or such that contains a lot of animation and sound. With the existence of game-based animal recognition learning media, it will be an interesting thing for early childhood, namely kindergarten, as well as teachers when interacting and conducive to learning.

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18

MacGregor, Elizabeth H., and Stephanie E. Pitts. "‘I don’t care who joins my choir’: Investigating attitudes to diversity and inclusivity in lower- and upper-voice choirs in the United Kingdom." International Journal of Community Music 18, no. 1 (2025): 69–91. https://doi.org/10.1386/ijcm_00119_1.

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Recreational choral singing has long been a mainstay of amateur and community music-making in the United Kingdom, and there is much existing evidence for the potential social, physical and psychological benefits of participation. However, involvement in lower- and upper-voice choirs is declining due to low recruitment rates, the ageing of members and the lasting impact of the COVID-19 pandemic. In this article, we draw on the findings of a recent online survey of 907 participants in mixed-, lower- and upper-voice choirs to examine the factors underlying these issues. Using descriptive statisti

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Stilwell, Robynn J. "Black Voices, White Women's Tears, and the Civil War in Classical Hollywood Movies." 19th-Century Music 40, no. 1 (2016): 56–78. http://dx.doi.org/10.1525/ncm.2016.40.1.56.

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Two musical trends of the 1930s—the development of a practice for scoring sound films, and the increasing concertization of the spiritual in both solo and choral form—help shape the soundscape of films based in the South and/or on Civil War themes in early sound-era Hollywood. The tremendous success of the Broadway musical Show Boat (1927), which was made into films twice within seven years (1929, 1936), provided a model of chorus and solo singing, and films like the 1929 Mary Pickford vehicle Coquette and the 1930 musical Dixiana blend this theatrical practice with a nuanced syntax that logic

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20

Wei, E. "Intonation Characteristics of Singing Based on Artificial Intelligence Technology and Its Application in Song-on-Demand Scoring System." Mathematical Problems in Engineering 2021 (March 20, 2021): 1–11. http://dx.doi.org/10.1155/2021/5510401.

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With the continuous progress of my country’s cultural industry, how to apply artificial intelligence technology to song on demand has become an issue of concern. This research mainly discusses the research of singing intonation characteristics based on artificial intelligence technology and its application in song-on-demand scoring system. This paper uses the combination of ant colony algorithm and DTW algorithm to measure the similarity between speech signals with the average distortion distance, so as to expect accurate recognition results. The design of the song-on-demand scoring function m

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21

Li, Feng, and Masato Akagi. "Combining F0 and non-negative constraint robust principal component analysis for singing voice separation." Signal Processing 170 (May 2020): 107432. http://dx.doi.org/10.1016/j.sigpro.2019.107432.

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22

Parker, Elizabeth Cassidy. "A Grounded Theory of Adolescent High School Women’s Choir Singers’ Process of Social Identity Development." Journal of Research in Music Education 65, no. 4 (2017): 439–60. http://dx.doi.org/10.1177/0022429417743478.

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The purpose of this grounded theory study was to discover the process of social identity development for adolescent high school women’s choir participants. Purposive maximum variation sampling was used to identify three public high school women’s choirs where 54 interviews were conducted with 40 different public school singers. Three waves of data collection and analysis revealed a seven-step process beginning with coming in singing and ending with envisioning myself. The central phenomenon was identified as opening up my voice and me and emphasized singers’ increased self-confidence. Interven

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23

Kobayashi, Kazuhiro, Tomoki Toda, and Satoshi Nakamura. "Intra-gender statistical singing voice conversion with direct waveform modification using log-spectral differential." Speech Communication 99 (May 2018): 211–20. http://dx.doi.org/10.1016/j.specom.2018.03.011.

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24

Saitou, Takeshi, Masashi Unoki, and Masato Akagi. "Development of an F0 control model based on F0 dynamic characteristics for singing-voice synthesis." Speech Communication 46, no. 3-4 (2005): 405–17. http://dx.doi.org/10.1016/j.specom.2005.01.010.

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25

Lyan, Tszitao. "The image of Andrea from the opera “Andrea Chenier” by U. Giordano: the history of vocal interpretations." Problems of Interaction Between Arts, Pedagogy and the Theory and Practice of Education 50, no. 50 (2018): 29–42. http://dx.doi.org/10.34064/khnum1-50.03.

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Formulation of the problem. U. Giordano is a bright representative of the late romantic tradition of the Italian opera of the turn of the 19th-20th centuries. Among the brightest stage versions of his most famous opera “Andrea Chenier”, within this study we have selected a number of the key implementations of Andrea Chenier’s part, which show the constant and mobile signs of the interpretation of this famous opera image. The purpose of the study is to identify the features of interpreting the image of Andrea Chenier from the opera of the same name by the performers of various schools in the as

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26

Mitchell, Helen F., and Raymond A. R. MacDonald. "Recognition and description of singing voices: The impact of verbal overshadowing." Musicae Scientiae 16, no. 3 (2012): 307–16. http://dx.doi.org/10.1177/1029864912458849.

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27

Hakanpää, Tua, Teija Waaramaa, and Anne-Maria Laukkanen. "Emotion Recognition From Singing Voices Using Contemporary Commercial Music and Classical Styles." Journal of Voice 33, no. 4 (2019): 501–9. http://dx.doi.org/10.1016/j.jvoice.2018.01.012.

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Huang, Lei. "Pastoral and the Principles of Its Stylization (Based On the Material of Vocal Music)." Culture of Ukraine, no. 73 (September 23, 2021): 104–12. http://dx.doi.org/10.31516/2410-5325.073.15.

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The purpose of this paper is to reveal the role of stylization as a styleforming principle in the evolution of the pastoral genre based on textbook chambervocal compositions (arias by W. A. Mozart), as well as littleknown ones. The methodology. The proposed research differs from other studies, which are close in the topic (T. Livanova, A. Korobova, A. Taylor and others), by an interpretativecognitive approach dictated by the challenges of modern performing practice. A comparative analysis of pastoral semantics in European and Chinese poetics was also used. The results. On the b

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Bürgel, Michel, and Kai Siedenburg. "Impact of interference on vocal and instrument recognition." Journal of the Acoustical Society of America 156, no. 2 (2024): 922–38. http://dx.doi.org/10.1121/10.0028152.

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Voices arguably occupy a superior role in auditory processing. Specifically, studies have reported that singing voices are processed faster and more accurately and possess greater salience in musical scenes compared to instrumental sounds. However, the underlying acoustic features of this superiority and the generality of these effects remain unclear. This study investigates the impact of frequency micro-modulations (FMM) and the influence of interfering sounds on sound recognition. Thirty young participants, half with musical training, engage in three sound recognition experiments featuring s

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Gentric, Katja. "[Un]performing voice: Simnikiwe Buhlungu/Euridice Zaituna Kala." Image & Text, no. 36 (September 2, 2022): 1–23. http://dx.doi.org/10.17159/2617-3255/2022/n36a11.

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Two unspectacular interventions, performed in central Johannesburg by Simnikiwe Buhlungu and Euridice Zaituna Kala, evidence the performativity of voice in public space. Addressing the unheard in contemporary society, they operate a shift in the way language is put to use (Cassin 2018). In paradoxical reciprocity, the action of [un]hearing comes to signify a fine-tuned form of informed and involved listening capable of bringing to the fore that which ordinarily goes by unheard or remains stifled. An "accented" way of speaking for example is inflected, shows situatedness, indicates individuated

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Tsai, Wei-Ho, and Cin-Hao Ma. "Automatic Identification of Simultaneous and Non-Simultaneous Singers for Music Data Indexing." International Journal of Web Services Research 14, no. 1 (2017): 29–43. http://dx.doi.org/10.4018/ijwsr.2017010103.

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This study proposes a system to automatically identify multiple singers in a long audio stream that may have singing voices overlapping in time. The system is of great help in handling the rapid proliferation of music data. To achieve this, an audio stream is segmented into a sequence of consecutive, non-overlapping, fixed-length clips using a sliding window, and then undergoes solo/duet recognition, single singer identification, and duet singer identification. Furthermore, the authors propose a triangulation-based decision approach to improve the performance of singer identification. The resu

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Saeed, Ayesha, Muhammad Faisal Hayat, Tania Habib, Darakhshan Abdul Ghaffar, and Muhammad Ali Qureshi. "A novel multi-speakers Urdu singing voices synthesizer using Wasserstein Generative Adversarial Network." Speech Communication 137 (February 2022): 103–13. http://dx.doi.org/10.1016/j.specom.2021.12.005.

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TAMARU, Hiroki, Yuki SAITO, Shinnosuke TAKAMICHI, Tomoki KORIYAMA, and Hiroshi SARUWATARI. "Generative Moment Matching Network-Based Neural Double-Tracking for Synthesized and Natural Singing Voices." IEICE Transactions on Information and Systems E103.D, no. 3 (2020): 639–47. http://dx.doi.org/10.1587/transinf.2019edp7228.

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34

Okuno, Hiroshi G., and Kazuhiro Nakadai. "Special Issue on Robot Audition Technologies." Journal of Robotics and Mechatronics 29, no. 1 (2017): 15. http://dx.doi.org/10.20965/jrm.2017.p0015.

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Robot audition, the ability of a robot to listen to several things at once with its own “ears,” is crucial to the improvement of interactions and symbiosis between humans and robots. Since robot audition was originally proposed and has been pioneered by Japanese research groups, this special issue on robot audition technologies of the Journal of Robotics and Mechatronics covers a wide collection of advanced topics studied mainly in Japan. Specifically, two consecutive JSPS Grants-in-Aid for Scientific Research (S) on robot audition (PI: Hiroshi G. Okuno) from 2007 to 2017, JST Japan-France Res

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Nymenska, Zhanna. "German art song in F. Schubert’s work: principles of authentic vocal performance." Problems of Interaction Between Arts, Pedagogy and the Theory and Practice of Education 72, no. 72 (2024): 88–107. https://doi.org/10.34064/khnum1-72.06.

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Statement of the problem. In the modern musical world, an increasingly important place is occupied by a historically informed performance aimed at reproducing authentic sound parameters in a modern interpretation of the music of the past. It is appropriate to extend the theory of historically informed performance to various areas of music making, one of which is vocal art. An unique era in its history is the vocal work by F. Schubert, the founder of Deutsche Kunstlied (German art song) as a genre phenomenon, along with which the corresponding performance style was formed. “Historically informe

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Sun, Bo. "The parameters of co-creation: a performing look at “The Six Romances for the Words by A. S. Pushkin” by G. Sviridov." Problems of Interaction Between Arts, Pedagogy and the Theory and Practice of Education 50, no. 50 (2018): 76–88. http://dx.doi.org/10.34064/khnum1-50.06.

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Formulation of the problem. The development of the concept of “co-creation” is proposed as the necessary condition for the interaction of subjects in the system: the composer – the poet – the performer-singer. The spiritual duality of the poet and the composer becomes a meeting place with its performer. The triple reflection I=I=I is captured in the structure of the artwork. Its result is the content of the category “the author’s concept”; this is an important parameter of the artist’s “entry” into the composer’s text, which is relevant for the analysis of a vocal composition. The theme of the

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N., Mikhailova. "Sergiy Prokopov: phenomenon of the creative personality." Problems of Interaction Between Arts, Pedagogy and the Theory and Practice of Education 52, no. 52 (2019): 6–21. http://dx.doi.org/10.34064/khnum1-52.01.

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Formulation of the problem. The modern choral art as never requires a theoretical understanding of the artistic experience accumulated over the years of its existence and enriched with the latest advances in this field. The bloom of the high professional choral performance in Ukraine shows, first of all, the active development of choral culture in practical terms, but unfortunately, in many theoretical aspects of the choral art there are significant gaps. Since in Ukraine a galaxy of dedicated experts in the field of the choral work function fruitfully, among whom the territory of the Slobozha

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Filatova, Tetiana. "«Twelve Etudes» for guitar by Heitor Villa-Lobos: genre and style dimensions." Scientific herald of Tchaikovsky National Music Academy of Ukraine, no. 140 (November 28, 2024): 87–115. https://doi.org/10.31318/2522-4190.2024.140.318646.

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The relevance of the article is to consider the cycle "Twelve etudes" for solo guitar by Heitor Villa-Lobos from the standpoint of the interaction of authentic Brazilian and academic European (baroque, romantic, modernist) genre-style models of creativity. World recognition and constant stage demand of the cycle is provided by a complex of essential advantages — the modern vocabulary of the composer, enriched with rhythm and intonation authentic elements of Brazilian culture, combined with virtuosity, the presence of the latest original techniques, high artistic qualities of the music and its

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Cooper, Angela, Matthew Eitel, Natalie Fecher, Elizabeth Johnson, and Laura K. Cirelli. "Who is singing? Voice recognition from spoken versus sung speech." JASA Express Letters 4, no. 6 (2024). http://dx.doi.org/10.1121/10.0026385.

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Singing is socially important but constrains voice acoustics, potentially masking certain aspects of vocal identity. Little is known about how well listeners extract talker details from sung speech or identify talkers across the sung and spoken modalities. Here, listeners (n = 149) were trained to recognize sung or spoken voices and then tested on their identification of these voices in both modalities. Learning vocal identities was initially easier through speech than song. At test, cross-modality voice recognition was above chance, but weaker than within-modality recognition. We conclude tha

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Xu, Yanze, Weiqing Wang, Huahua Cui, Mingyang Xu, and Ming Li. "Paralinguistic singing attribute recognition using supervised machine learning for describing the classical tenor solo singing voice in vocal pedagogy." EURASIP Journal on Audio, Speech, and Music Processing 2022, no. 1 (2022). http://dx.doi.org/10.1186/s13636-022-00240-z.

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AbstractHumans can recognize someone’s identity through their voice and describe the timbral phenomena of voices. Likewise, the singing voice also has timbral phenomena. In vocal pedagogy, vocal teachers listen and then describe the timbral phenomena of their student’s singing voice. In this study, in order to enable machines to describe the singing voice from the vocal pedagogy point of view, we perform a task called paralinguistic singing attribute recognition. To achieve this goal, we first construct and publish an open source dataset named Singing Voice Quality and Technique Database (SVQT

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Chen, Mingzhu. "Research on the Cultivation of Western Opera Singing Ability of College Vocal Music Students Based on Multi-feature Fusion Technology." Applied Mathematics and Nonlinear Sciences 9, no. 1 (2024). http://dx.doi.org/10.2478/amns-2024-0313.

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Abstract Opera singing is an indispensable part of college voice students’ study, and in response to the problem of insufficient opera singing ability of college students, this paper proposes a method of applying vocal feature extraction technology to the teaching of opera singing. The method takes the vocal frequency frames in the students’ opera singing as the unit and uses the short-time energy to datamaterialize the vocal frequency features of the students’ western opera singing, which reflects more clearly the information of the vocal frequency signals of western opera singing in the time

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Park, Jonggwon, Kyoyun Choi, Seola Oh, Leekyung Kim, and Jonghun Park. "Note-level singing melody transcription with transformers." Intelligent Data Analysis, October 19, 2023, 1–19. http://dx.doi.org/10.3233/ida-227077.

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Recognizing a singing melody from an audio signal in terms of the music notes’ pitch onset and offset, referred to as note-level singing melody transcription, has been studied as a critical task in the field of automatic music transcription. The task is challenging due to the different timbre and vibrato of each vocal and the ambiguity of onset and offset of the human voice compared with other instrumental sounds. This paper proposes a note-level singing melody transcription model using sequence-to-sequence Transformers. The singing melody annotation is expressed as a monophonic melody sequenc

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Huang, Danxia. "An objective evaluation method of vocal singing effect based on artificial intelligence technology." Applied Mathematics and Nonlinear Sciences 9, no. 1 (2024). http://dx.doi.org/10.2478/amns-2024-0865.

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Abstract The continuous progress of artificial intelligence technology has shown great potential for application in several fields, especially music. The research direction of Objective Evaluation of Vocal Singing Effectiveness uses advanced technologies to analyze and assess a singer’s performance across multiple dimensions, including pitch, rhythm, and timbre, and is highly valuable. Building an accurate and fair evaluation system faces many challenges, including how to accurately capture and analyze the subtle changes in the voice and synthesize the effects of different musical elements on

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Bruder, Camila, and Pauline Larrouy-Maestri. "CoVox: A dataset of contrasting vocalizations." Behavior Research Methods 57, no. 5 (2025). https://doi.org/10.3758/s13428-025-02664-9.

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Abstract The human voice is remarkably versatile and can vary greatly in sound depending on how it is used. An increasing number of studies have addressed the differences and similarities between the singing and the speaking voice. However, finding adequate stimuli material that is at the same time controlled and ecologically valid is challenging, and most datasets lack variability in terms of vocal styles performed by the same voice. Here, we describe a curated stimulus set of vocalizations where 22 female singers performed the same melody excerpts in three contrasting singing styles (as a lu

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Bruder, Camila, and Pauline Larrouy-Maestri. "Classical singers are also proficient in non-classical singing." Frontiers in Psychology 14 (October 25, 2023). http://dx.doi.org/10.3389/fpsyg.2023.1215370.

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Classical singers train intensively for many years to achieve a high level of vocal control and specific sound characteristics. However, the actual span of singers’ activities often includes venues other than opera halls and requires performing in styles outside their strict training (e.g., singing pop songs at weddings). We examine classical singers’ ability to adjust their vocal productions to other styles, in relation with their formal training. Twenty-two highly trained female classical singers (aged from 22 to 45 years old; vocal training ranging from 4.5 to 27 years) performed six differ

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Barrett, Margaret S., and Katie Zhukov. "“A Common Obsession”: Children’s and Young People’s Perceptions of Learning in an Intensive Summer Choral Program." Frontiers in Education 7 (February 22, 2022). http://dx.doi.org/10.3389/feduc.2022.827496.

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This article reports the findings of an investigation of children’s and young people’s perceptions of learning and life outcomes, environmental supports and teaching and learning strategies encountered in an intensive summer choral program. Whilst the recognition of children’s and young people’s right to voice their perspectives was enshrined in the UN Convention on the rights of the child (1989), the music education profession has taken some time to foreground children’s and young people’s voice as a research focus. Initial investigations of music “student voice” have focused largely on schoo

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Rajesh, Sangeetha, and N. J. Nalini. "Combined Evidence of MFCC and CRP Features Using Machine Learning Algorithms for Singer Identification." International Journal of Pattern Recognition and Artificial Intelligence, July 29, 2020, 2158001. http://dx.doi.org/10.1142/s0218001421580015.

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Singer identification is a challenging task in music information retrieval because of the combined instrumental music with the singing voice. The previous approaches focus on identification of singers based on individual features extracted from the music clips. The objective of this work is to combine Mel Frequency Cepstral Coefficients (MFCC) and Chroma DCT-reduced Pitch (CRP) features for singer identification system (SID) using machine learning techniques. The proposed system has mainly two phases. In the feature extraction phase, MFCC, [Formula: see text]MFCC, [Formula: see text]MFCC and C

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Gysels, Marjolein, Chris Tonelli, and Thomas Johannsen. "Making Dementia Matter Through Sound." Voices: A World Forum for Music Therapy 24, no. 1 (2024). http://dx.doi.org/10.15845/voices.v24i1.3961.

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This paper investigates the working practices of the Genetic Choir and the “Stem&Luister” project, in which the ensemble uses voice, sound and improvisation to explore and develop ways of connecting with people with dementia, thereby seeking to improve the experience of care. Their musical sessions are multilayered. First, through listening they develop a sense of the people and the environment. Then through introducing their vocal practices, they breach the prevailing sonic regime. Second, through immersing the residents in sound-making and singing, they draw on the material and sensorial

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Sardelić, S., and N. Šikić. "Neurogenic stuttering in children." Paediatria Croatica 52, no. 3 (2008). http://dx.doi.org/10.13112/pc.935.

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Introduction: Neurogenic stuttering is a fluency disorder caused by the coordination inability of all articulation muscles involved in speech production. It can be present in adults and also in children. Present research shows that it is caused by lesions in the frontal, parietal and temporal lobe, by damage to the brain steam, basal ganglia, and cerebellum and because of white matter damage of the frontal lobe tract in both hemispheres. Compared to developmental stuttering, neurogenic stuttering is characterized by specific speech symptomatology, further difficulties and neurologic pathology.

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Holmes, Susan. "'The Only Place Where ''Success'' Comes before ''Work'' Is in the Dictionary...?'." M/C Journal 7, no. 5 (2004). http://dx.doi.org/10.5204/mcj.2421.

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Reality TV has emerged as a visible site for contemporary debates over modern fame. In fact, while issues of ‘taste’ and cultural value have long since shaped conceptions of celebrity (Turner, Bonner, Marshall 178), the issue of fame has played a central role in the negative cultural criticisms of Reality TV. Reality programming is often invoked as short-hand to illustrate the moral ills of contemporary fame – as if it has somehow swept away the certainties of ‘the past’ where discourses of public recognition, visibility and reward are concerned. In exploring Reality TV as a site of contempora

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