Accesso libero

A study of speech recognition technology as an aid to timbre accuracy and pitch control in vocal music teaching

 e   
24 set 2025
INFORMAZIONI SU QUESTO ARTICOLO

Cita
Scarica la copertina

Du, S. (2017, May). Study on the Differences of Vocal Music Teaching and Vocal Music Singing Theory. In 2017 4th International Conference on Education, Management and Computing Technology (ICEMCT 2017) (pp. 848-851). Atlantis Press. Du S. ( 2017 , May ). Study on the Differences of Vocal Music Teaching and Vocal Music Singing Theory . In 2017 4th International Conference on Education, Management and Computing Technology (ICEMCT 2017) (pp. 848 - 851 ). Atlantis Press . Search in Google Scholar

Zhang, Y., & Xing, J. (2018). Study on the Application of Pronunciation Training in Vocal Music Teaching in Colleges and Universities. Educational Sciences: Theory & Practice, 18(5). Zhang Y. Xing J. ( 2018 ). Study on the Application of Pronunciation Training in Vocal Music Teaching in Colleges and Universities . Educational Sciences: Theory & Practice , 18 ( 5 ). Search in Google Scholar

Weiss, M. W., & Peretz, I. (2019). Ability to process musical pitch is unrelated to the memory advantage for vocal music. Brain and Cognition, 129, 35-39. Weiss M. W. Peretz I. ( 2019 ). Ability to process musical pitch is unrelated to the memory advantage for vocal music . Brain and Cognition , 129 , 35 - 39 . Search in Google Scholar

Park, S. H., Nasridinov, A., Byun, J. Y., & Park, Y. H. (2014). A Study on Vocal Training for Beginners by Analyzing Voice Pitch. Sensors, 41-44. Park S. H. Nasridinov A. Byun J. Y. Park Y. H. ( 2014 ). A Study on Vocal Training for Beginners by Analyzing Voice Pitch . Sensors , 41 - 44 . Search in Google Scholar

Li, X., & Mills, M. (2019). Vocal features: from voice identification to speech recognition by machine. Technology and culture, 60(2), S129-S160. Li X. Mills M. ( 2019 ). Vocal features: from voice identification to speech recognition by machine . Technology and culture , 60 ( 2 ), S129 - S160 . Search in Google Scholar

Humphrey, E. J., Reddy, S., Seetharaman, P., Kumar, A., Bittner, R. M., Demetriou, A., – & Yang, L. (2018). An introduction to signal processing for singing-voice analysis: High notes in the effort to automate the understanding of vocals in music. IEEE Signal Processing Magazine, 36(1), 82-94. Humphrey E. J. Reddy S. Seetharaman P. Kumar A. Bittner R. M. Demetriou A. Yang L. ( 2018 ). An introduction to signal processing for singing-voice analysis: High notes in the effort to automate the understanding of vocals in music . IEEE Signal Processing Magazine , 36 ( 1 ), 82 - 94 . Search in Google Scholar

Khonglah, B. K., & Prasanna, S. M. (2015, December). Speech/music classification using vocal tract constriction aspect of speech. In 2015 Annual IEEE India Conference (INDICON) (pp. 1-6). IEEE. Khonglah B. K. Prasanna S. M. ( 2015 , December ). Speech/music classification using vocal tract constriction aspect of speech . In 2015 Annual IEEE India Conference (INDICON) (pp. 1 - 6 ). IEEE . Search in Google Scholar

Kum, S., Oh, C., & Nam, J. (2016, August). Melody Extraction on Vocal Segments Using Multi-Column Deep Neural Networks. In ISMIR (Vol. 2016, p. 171). Kum S. Oh C. Nam J. ( 2016 , August ). Melody Extraction on Vocal Segments Using Multi-Column Deep Neural Networks . In ISMIR (Vol. 2016 , p. 171 ). Search in Google Scholar

Bai, J. (2022). Design of the Artificial Intelligence Vocal System for Music Education by Using Speech Recognition Simulation. Computational Intelligence and Neuroscience, 2022(1), 5066004. Bai J. ( 2022 ). Design of the Artificial Intelligence Vocal System for Music Education by Using Speech Recognition Simulation . Computational Intelligence and Neuroscience , 2022 ( 1 ), 5066004 . Search in Google Scholar

Liu, N. (2022). Study on the Application of Improved Audio Recognition Technology Based on Deep Learning in Vocal Music Teaching. Mathematical Problems in Engineering, 2022(1), 1002105. Liu N. ( 2022 ). Study on the Application of Improved Audio Recognition Technology Based on Deep Learning in Vocal Music Teaching . Mathematical Problems in Engineering , 2022 ( 1 ), 1002105 . Search in Google Scholar

Zhou, M., & Gong, T. (2020). Optimization of multimedia computer-aided interaction system of vocal music teaching based on voice recognition. Computer-Aided Design and Applications, 8, 113-122. Zhou M. Gong T. ( 2020 ). Optimization of multimedia computer-aided interaction system of vocal music teaching based on voice recognition . Computer-Aided Design and Applications , 8 , 113 - 122 . Search in Google Scholar

Slater, J., Skoe, E., Strait, D. L., O’Connell, S., Thompson, E., & Kraus, N. (2015). Music training improves speech-in-noise perception: Longitudinal evidence from a community-based music program. Behavioural brain research, 291, 244-252. Slater J. Skoe E. Strait D. L. O ‘Connell S. Thompson E. Kraus N. ( 2015 ). Music training improves speech-in-noise perception: Longitudinal evidence from a community-based music program . Behavioural brain research , 291 , 244 - 252 . Search in Google Scholar

Chen, N. (2021, September). Vocal music teaching evaluation model based on pattern recognition and voiceprint feature analysis. In 2021 4th International Conference on Information Systems and Computer Aided Education (pp. 2800-2804). Chen N. ( 2021 , September ). Vocal music teaching evaluation model based on pattern recognition and voiceprint feature analysis . In 2021 4th International Conference on Information Systems and Computer Aided Education (pp. 2800 - 2804 ). Search in Google Scholar

Jing, L. (2022). Application of Artificial Intelligence Algorithm and VR Technology in Vocal Music Teaching. Mobile Information Systems, 2022(1), 2320198. Jing L. ( 2022 ). Application of Artificial Intelligence Algorithm and VR Technology in Vocal Music Teaching . Mobile Information Systems , 2022 ( 1 ), 2320198 . Search in Google Scholar

McLeod, A., Schramm, R., Steedman, M., & Benetos, E. (2017). Automatic transcription of polyphonic vocal music. Applied Sciences, 7(12), 1285. McLeod A. Schramm R. Steedman M. Benetos E. ( 2017 ). Automatic transcription of polyphonic vocal music . Applied Sciences , 7 ( 12 ), 1285 . Search in Google Scholar

Pérez-Gil, M., Tejada, J., Morant, R., & De Martos, A. P. G. (2016). Cantus: Construction and evaluation of a software solution for real-time vocal music training and musical intonation assessment. Journal of Music, Technology & Education, 9(2), 125-144. Pérez-Gil M. Tejada J. Morant R. De Martos A. P. G. ( 2016 ). Cantus: Construction and evaluation of a software solution for real-time vocal music training and musical intonation assessment . Journal of Music, Technology & Education , 9 ( 2 ), 125 - 144 . Search in Google Scholar

Wang, X., & Wang, T. (2022). Voice Recognition and Evaluation of Vocal Music Based on Neural Network. Computational Intelligence and Neuroscience, 2022(1), 3466987. Wang X. Wang T. ( 2022 ). Voice Recognition and Evaluation of Vocal Music Based on Neural Network . Computational Intelligence and Neuroscience , 2022 ( 1 ), 3466987 . Search in Google Scholar

Liu, S. (2021, January). Multimedia interactive system of vocal music teaching based on voice recognition. In 2021 13th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) (pp. 599-602). IEEE. Liu S. ( 2021 , January ). Multimedia interactive system of vocal music teaching based on voice recognition . In 2021 13th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) (pp. 599 - 602 ). IEEE . Search in Google Scholar

Huang, T., & Li, Y. (2024). Vocal Music Mispronunciation Identification and Correction Based on Artificial Intelligence Technology. resonance, 12, 13. Huang T. Li Y. ( 2024 ). Vocal Music Mispronunciation Identification and Correction Based on Artificial Intelligence Technology . resonance , 12 , 13 . Search in Google Scholar

He, Z. (2022). Vocal Music Recognition Based on Deep Convolution Neural Network. Scientific Programming, 2022(1), 7905992. He Z. ( 2022 ). Vocal Music Recognition Based on Deep Convolution Neural Network . Scientific Programming , 2022 ( 1 ), 7905992 . Search in Google Scholar

Nan, C. (2021, September). Research on Intelligent Vocal Music Training System Based on Wavelet Transform. In 2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE) (pp. 278-282). IEEE. Nan C. ( 2021 , September ). Research on Intelligent Vocal Music Training System Based on Wavelet Transform . In 2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE) (pp. 278 - 282 ). IEEE . Search in Google Scholar

Huang, C. (2022). Vocal music teaching pharyngeal training method based on audio extraction by big data analysis. Wireless Communications and Mobile Computing, 2022(1), 4572904. Huang C. ( 2022 ). Vocal music teaching pharyngeal training method based on audio extraction by big data analysis . Wireless Communications and Mobile Computing , 2022 ( 1 ), 4572904 . Search in Google Scholar

Du Yeqian,Wu Minghui,Fang Xin & Yang Zhouwang. (2023). Monotonic Gaussian regularization of attention for robust automatic speech recognition. Computer Speech & Language. Du Yeqian Wu Minghui Fang Xin Yang Zhouwang ( 2023 ). Monotonic Gaussian regularization of attention for robust automatic speech recognition . Computer Speech & Language . Search in Google Scholar

Aditya Sharma,M.C. Shrotriya,Omar Farooq & Z.A. Abbasi. (2008). Hybrid wavelet based LPC features for Hindi speech recognition. Int. J. of Information and Communication Technology(3/4),373-381. Aditya Sharma M.C. Shrotriya Omar Farooq Z.A. Abbasi ( 2008 ). Hybrid wavelet based LPC features for Hindi speech recognition . Int. J. of Information and Communication Technology ( 3/4 ), 373 - 381 . Search in Google Scholar

Nussbaum Christine,von Eiff Celina I.,Skuk Verena G. & Schweinberger Stefan R‥ (2022). Vocal emotion adaptation aftereffects within and across speaker genders: Roles of timbre and fundamental frequency. Cognition104967-104967. Nussbaum Christine von Eiff Celina I. Skuk Verena G. Schweinberger Stefan R. ( 2022 ). Vocal emotion adaptation aftereffects within and across speaker genders: Roles of timbre and fundamental frequency . Cognition 104967 - 104967 . Search in Google Scholar

Luis Balderas,Miguel Lastra & José M. Benítez. (2024). Optimizing Convolutional Neural Network Architectures. Mathematics(19),3032-3032. Luis Balderas Miguel Lastra José M. Benítez ( 2024 ). Optimizing Convolutional Neural Network Architectures . Mathematics ( 19 ), 3032 - 3032 . Search in Google Scholar

Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro