摘要
我们提出的谐波显著度的基频提取方法,目的是从语音信号中自动获取人声基频,该方法利用抑制因子计算出基频的谐波显著度谱,对各次谐波显著度加权求和之后进行基频轨迹跟踪确定语音的基频序列。在TIMIT掺噪数据集和音乐信息检索评测2005主旋律数据集上,谐波显著度方法的准确率分别达到了88.5%和73.3%,使倍频、半频错误相对降低了80%。实验表明,基于谐波显著度的基频提取方法增强了系统的抗噪性能以及抗倍半频错误的能力。
A method based on harmonic salience is proposed for extracting the fundamental frequency from speech signal. It first calculates the harmonic salience spectrum by a inhibiting factor, and summarizes the weighted salience of every harmonic partial. Finally the pitch stream is determined by harmonic tracking. The experiment is conducted with various noised data of TIMIT database and polyphonic melody data of Music Information Retrieval Evaluation Exchange （MIREX） 2005 respectively. The result shows that the accuracy of 88.5% and 73.3% are achieved, and 80% of the half-frequency errors and multi-frequency errors are eliminated. It indicates that this method can effectively enhance the noise immunity and suppress the half-frequency errors and multi-frequency errors.
出处
《声学学报》
EI
CSCD
北大核心
2015年第2期294-299,共6页
Acta Acustica
基金
国家自然科学基金(10925419
90920302
61072124
11074275
11161140319
91120001
61271426)
中国科学院战略性先导科技专项(面向感知中国的新一代信息技术研究
XDA06030100
XDA06030500)
国家863计划(2012AA012503)
中国科学院重点部署项目(KGZD-EW-103-2)资助
