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作 者:张红[1,2] 张红[1,2] 黄泰翼[2] 宋俊寿
机构地区:[1]西南交通大学,420信箱四川成都610031 [2]中科院自动化所模式识别国家重点实验室
出 处:《声学学报》1999年第4期438-445,共8页Acta Acustica
基 金:国家重点实验室资助
摘 要:提出了一种基于二值侧抑制网络的频域基频提取方法。即利用二值侧抑制网络对语音的短时谱进行峰值提取,得到包括语音基频及其谐波的线谱,根据谐波间的距离平均值估算出基频.该算法在COSDIC数据库上进行了测试,并与自相关基频提取法和倒谱基频提取法进行了比较.实验数据表明,本算法具有更高的精度和更强的抗噪声性能.: This paper proposes a novel pitch determination algorithm with binary lateral inhibitionnetwork (BLIN). The procedure of this algorithm is shown as follows. A thread-like spectrum, which iscomposed of the fundamental frequency and its harmonic components, is acquired by applying a BLINto the short time spectrum of the speech signal. Then the pitch is determined by the average intervalof harmonics, which is searched by a flexible strategy. The algorithm is evaluated on COSDIC speechdatabase. For the purpose of comparison, the same results of the cepstrum-and antocorrelaticn-basedpitch determination algorithm are also presented. The results show that the new algorithm is moreaccurate and more robust to white noise than the other two algorithms.
分 类 号:TN912.3[电子电信—通信与信息系统]
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