1.Results The data failed to show any difference in domain, pitch and the first formant ( P >0.05) between two methods, but it revealed obvious difference in energy and the other formants ( P< 0.01).
结果两种语音输入法的音长、音高和第一共振峰无明显差异（P>0 .0 5 ） ，而能量和第二、三共振峰有明显差异（P<0 .0 1）。
2.Results The data failed to show any difference in domain, pitch and the first formant ( P >0.05) between two methods, but it revealed obvious difference in energy and the other formants ( P< 0.01).
结果两种语音输入法的音长、音高和第一共振峰无明显差异（P>0 .0 5 ） ，而能量和第二、三共振峰有明显差异（P<0 .0 1）。
3.The improved method based on fuzzy entropy, which analyzed and distilled the weight of speech duration, average magnitudes, pitch frequency, formants and Mel-frequency cesptral coefficients.
分析了发音持续时间、平均振幅、基音频率，第一共振峰和Mel频率倒谱参数，并基于模糊熵理论提取了各参数的权重。
4.The SNR in public environment of whispered speech is lower than normal speech and the former hasn't pitch period and its formants are not obvious, so whispered speech enhancement is harder.
相对于正常语音来说，耳语音在公共场合的信噪比较低，而且没有基音周期，共振峰不明显，所以耳语音增强具有一定的难度。
5.A frequency domain technique is presented to be used in speech coding to improve the performance of low order linear prediction (LP) in modeling of formants of voiced speech.
讨论了一个用于语音编码的频域技术，用以在浊音语音共振峰模型方面改善低阶数线性预测(LP)的性能。
6.The formants were measured using LPC method. The averaged values and deviations of formants were given with statistical meaning.
共振峰的测量采用LPC法，给出了具有统计意义的前五个共振峰的平均值和散布。