Ludvigsen C, Elberling C, Keidser G, Poulsen T
Acoustics Laboratory, Technical University of Denmark, Lyngby.
Acta Otolaryngol Suppl. 1990;469:190-5.
Speech in various noise backgrounds was processed through four different non-linear devices and the intelligibility of the processed signals was predicted from the Speech Transmission Index (STI). A novel calculation method was applied in order to avoid artifacts. Running speech was used as input signal and STI was calculated from the envelopes of the squared, noise-free speech signal and of the processed, squared, noisy signal in 23 critical bands. In situations with linearly processed speech and a stationary background noise, this calculation method gives results identical with the procedure described by Steeneken & Houtgast (6). However, in a number of situations with non-linearly processed speech, or a time varying background noise level, the calculation method used here is preferable. The predictions were evaluated in a psycho-acoustic listening test and the predictions agreed well with the listening test results.
在各种噪声背景下的语音通过四种不同的非线性设备进行处理,并根据语音传输指数(STI)预测处理后信号的可懂度。应用了一种新颖的计算方法以避免伪影。连续语音用作输入信号,STI是根据23个临界频带中无噪声语音信号平方后的包络以及处理后的带噪声信号平方后的包络计算得出的。在语音进行线性处理且背景噪声平稳的情况下,这种计算方法得出的结果与Steeneken和Houtgast(6)所描述的过程相同。然而,在许多语音进行非线性处理或背景噪声水平随时间变化的情况下,这里使用的计算方法更可取。这些预测在心理声学听力测试中得到了评估,预测结果与听力测试结果吻合良好。