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基于语音识别仿真的音乐教育人工智能发声系统设计。

Design of the Artificial Intelligence Vocal System for Music Education by Using Speech Recognition Simulation.

机构信息

Shanxi Vocational University of Engineering Science and Technology, Jinzhong, Shanxi 030619, China.

出版信息

Comput Intell Neurosci. 2022 Sep 27;2022:5066004. doi: 10.1155/2022/5066004. eCollection 2022.

Abstract

At present, computer technology is not limited to the network but to many aspects of spread out, including artificial intelligence technology, signal processing technology, speech recognition technology, and so on which have been better developed, and music teaching has also obtained certain achievements. If the detected speech data have no other clutter in the speech, then the endpoint detection can achieve ideal results. The music education system includes the development of four dimensions: WEB terminal, mobile terminal, web interface, and database. Using the powerful functions of computers, such as computing functions and processing functions, combined with advanced intelligent technology and related equipment, the intelligent learning model based on computer technology is established. It can be applied in college teaching, combined with the actual needs of current college music teaching, corresponding to the curriculum and teaching plan issued by the school, combined with the design of online learning system and reasonable use of computer technology to build a vocal music education system. The intelligent system can improve the requirements of vocal music education management level, teaching organization ability, and teaching platform operation ability.

摘要

目前,计算机技术不仅限于网络,而是向许多方面展开,包括人工智能技术、信号处理技术、语音识别技术等都得到了更好的发展,音乐教学也取得了一定的成果。如果检测到的语音数据在语音中没有其他杂波,那么端点检测就能达到理想的效果。音乐教育系统包括 WEB 终端、移动终端、网页接口和数据库四个方面的开发。利用计算机的强大功能,如计算功能和处理功能,结合先进的智能技术和相关设备,建立基于计算机技术的智能学习模型。它可以应用于大学教学中,结合当前大学音乐教学的实际需求,对应学校发布的课程和教学计划,结合在线学习系统的设计和合理使用计算机技术来构建声乐教育系统。智能系统可以提高声乐教育管理水平、教学组织能力和教学平台操作能力的要求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d85e/9532065/c0b1342e54cc/CIN2022-5066004.001.jpg

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