摘要
研究数字音频技术在交互式智能图书编辑中的应用,提出一种基于声纹特征与语义上下文感知的数字音频技术,用于提升交互式智能图书编辑的多模态协同效率。该技术采用改进深度卷积神经网络进行多维声学特征建模与动态降噪,利用双向门控注意力网络实现音频、文本与视觉信息的实时映射,并借助长短期记忆网络实现自适应渲染。实验表明,该技术在响应延迟、对齐精度、情感表达、空间定位及语速调节等方面均显著优于传统线性音轨技术。
This paper studies the application of digital audio technology in interactive intelligent book editing,and puts forward a digital audio technology based on voiceprint features and semantic context awareness to improve the multimodal collaboration efficiency of interactive intelligent book editing.In this technology,the improved deep convolution neural network is used for multi-dimensional acoustic feature modeling and dynamic noise reduction,the two-way gated attention network is used to realize real-time mapping of audio,text and visual information,and the adaptive rendering is realized with the help of long-term and short-term memory networks.Experiments show that this technology is significantly superior to the traditional linear audio track technology in response delay,alignment accuracy,emotional expression,spatial positioning and speech speed adjustment.
作者
牛俊芬
NIU Junfen(Haiyan Publishing House Co.,Ltd.,Zhengzhou 450016,China)
出处
《电声技术》
2025年第5期107-109,共3页
Audio Engineering
关键词
数字音频技术
交互式
智能图书编辑
digital audio technology
interactive
intelligent book editing
作者简介
牛俊芬(1984-),女,本科,编辑,研究方向为教材及教辅图书的编辑以及出版。
