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作 者:任薇[1] RENWei(School of Modern Music and Science and Technology,Nanjing University of the Arts,Nanjing 210000,China)
机构地区:[1]南京艺术学院现代音乐与科技学院,江苏南京210000
出 处:《电声技术》2024年第10期60-63,共4页Audio Engineering
基 金:2023年南京艺术学院教学改革研究课题重点项目“‘AI+教育’背景下视唱练耳课程创新发展研究”(2023JYZD08)。
摘 要:音频分离技术是一项极为复杂的声源信号处理技术,其随着数字技术和人工智能的飞跃而快速发展,成为音频处理领域的核心技术。概述音频分离技术的现状,探讨其原理、发展历程、多维度分类,为技术理解和应用提供参考。介绍音频分离技术的基本原理,涵盖频谱分析、声源定位、人工智能应用。发展历程分为萌芽基石、发展壮大、成熟智能3个阶段。该技术通过盲源分离、多声道分离、时频域处理等方式细化分类,广泛应用于音乐、语音、环境噪声分离等领域,为音频处理提供强大支持,具有广阔的应用前景。Audio separation technology is an extremely complex sound source signal processing technology that has developed rapidly alongside advancements in digital technology and artificial intelligence,emerging as a core technology in the field of audio processing.This paper aims to provide an overview of the current status of audio separation technology,delving into its principles,development trajectory,and multi-dimensional classification,offering a valuable reference for understanding and applying this technology.The fundamental principles of audio separation are introduced,encompassing spectral analysis,sound source localization,and applications of artificial intelligence.Its evolution spans 3 distinct stages:the foundational era,the expansion phase,and the era of maturity and intelligence.This technology is further categorized through approaches such as blind source separation,multi-channel separation,and time-frequency domain processing,finding widespread use in domains including music,speech,and environmental noise separation.Ultimately,audio separation technology offers robust support for audio processing and holds immense potential for broader applications inthefuture.
分 类 号:TN912.3[电子电信—通信与信息系统] TP183[电子电信—信息与通信工程]
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