兄弟姐妹们 帮忙翻译一下我的中文摘要吧 很急！谢谢啦

来源：百度知道 编辑：UC知道 时间：2024/05/28 23:55:38
耳语音是一种特殊的语音交流方式。耳语音共振峰参数提取算法的研究在耳语音识别、耳语音转换为正常音等方面具有非常重要的作用，同时也意味着此项研究对于公众场合下的通讯、失音者的语音恢复和公安司法工作等方面具有重大的实际应用价值。
本文介绍了耳语音的发音机理、声学特点和产生模型，分析了语音信号短时能量、短时平均幅度、短时过零率、短时自相关以及短时平均幅度差函数。通过运用线性预测编码（LPC）法中的计算精度高且稳定度好的格型法，较好地提取了耳语音的前三个共振峰，得出了男声和女声的正常语音以及耳语音共振峰频率的平均值。通过比较，得出耳语音和正常语音在共振峰结构上存在的差异。
目前此项研究只处于起步阶段，但是其重大的理论意义及实践价值必将带动这一领域的快速发展，耳语音将有着越来越广阔的应用前景。

Voice is a special way voice communication. Ear resonant voice-extraction method of voice recognition in our ears, our ears voice converted to sound normal, and so has a very important role, but also means that the study of public occasions of communications, the voice Aphonia restore public security and judicial work Such areas is of great practical value.
This paper introduces the ears of voice sounds, acoustic characteristics and a model analysis of the voice signal short-term energy, the average rate of short-term, short-term rate of zero, since the relevant short-term and short-term average rate of poor function. Through the use of linear prediction coding (LPC) in terms of high precision and stability of the grid-good law, good voice from the ears of the first three formant, the Male and Female come to the normal voice resonant voice and ears The average peak frequency. By comparison, voice and ears that normal voice in the formant structure of the existing differences.