Awan S N, Frenkel M L
Department of Communication Disorders, Northern Michigan University, Marquette 49855-5337.
J Voice. 1994 Sep;8(3):255-62. doi: 10.1016/s0892-1997(05)80297-8.
An improved algorithm for computing harmonics-to-noise ratio (HNR) of the voice was developed and tested using synthesized vowels at various fundamental frequencies and known HNR values. The described algorithm implements a stringent routine for the identification of pitch pulse boundary markers based on a combination of peak-picking and zero-crossing procedures. Results showed mean absolute errors between computed versus expected HNR to be < 2 dB, a significant improvement over previously reported methods. Computational errors were minimized most effectively with vowel samples in the range of 17 to -10 dB HNR. Normative data for young adult males and females indicate that HNR < 13 dB may be considered abnormal in a majority of cases.
开发了一种用于计算语音谐波与噪声比(HNR)的改进算法,并使用不同基频和已知HNR值的合成元音进行了测试。所描述的算法基于峰值检测和过零过程的组合,实现了一种严格的例程来识别基音脉冲边界标记。结果表明,计算得到的HNR与预期HNR之间的平均绝对误差小于2dB,这比先前报道的方法有显著改进。在17至 -10dB HNR范围内的元音样本能最有效地将计算误差降至最低。年轻成年男性和女性的标准数据表明,在大多数情况下,HNR < 13dB可能被视为异常。