基于深度学习的声纹识别语音唤醒技术优化研究
Research on the Optimization of Voice Print Recognition Technology Based on Deep Learning
钱兴维 1张祥1
作者信息
- 1. 中海油信息科技有限公司天津分公司,天津 300452
- 折叠
摘要
声纹识别技术利用个体的声音特征进行身份验证,已广泛应用于各种安全和个人化服务.基于此,系统探讨深度学习技术在声纹识别语音唤醒领域的应用,详细分析不同深度学习模型的技术细节及其在实际应用中的表现,并通过案例研究展示这些技术在实际场景中的应用效果和优化策略,为进一步推动声纹识别技术的发展和应用提供了理论依据和实践指南.
Abstract
Voiceprint recognition technology utilizes individual voice features for identity verification and has been widely applied in various security and personalized services.Based on this,the system explores the application of deep learning technology in the field of voiceprint recognition speech wake-up,analyzes the technical details of different deep learning models and their performance in practical applications,and demonstrates the application effects and optimization strategies of these technologies in practical scenarios through case studies,providing theoretical basis and practical guidance for further promoting the development and application of voiceprint recognition technology.
关键词
深度学习/声纹识别/语音唤醒技术Key words
deep learning/speaker recognition/voice wake-up technology引用本文复制引用
出版年
2024
NETL
NSTL
万方数据