摘要
本文针对强噪声背景下语音基音检测这一既具实际应用,又相当困难的问题,提出了一种基于计算听觉场景分析的基音检测方法。该方法利用了人的听觉感知特性,适用于低信噪比和存在其它语音干扰下基音信息的提取。实验结果证明,本文提出的方法是非常有效的。
Based on computational auditory scene analysis(CASA), a pitch detection algorithm is proposed to solve the problem of pitch detecting in strong noisy background. According to this algorithm, human auditory feature is utilized, and is applied to pitch detecting in low SNR and other speech disturbance problems. It is shown from simulation experiments that the proposed pitch detection algorithm is very effective.
出处
《电路与系统学报》
CSCD
2003年第3期128-131,共4页
Journal of Circuits and Systems
基金
国家自然科学基金资助项目(60172016)
江苏省重点实验室"计算机信息处理技术"开放课题基金资助项目(KJS010021)
关键词
基音检测
计算声场景分析
强噪声
混叠语音
Pitch detection
Computational auditory scene analysis
Strong noise
Overlapping speech
