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LPC方法提取语音信号共振峰的分析
Analysis of Speech Signal Formant Abstracted by LPC
【摘要】 通过对LPC(线性预测编码)方法提取语音信号共振峰进行的研究表明,采用相-频特性与对数幅-频特性同样能提取语音信号共振峰。与对数幅-频特性的二次导数相比,相-频特性的三次导数有更高的频率分辨率,能更有效地解决共振峰合并的问题,提取更精确的共振峰参数。
【Abstract】 The study on speech signal formant abstracted by LPC shows that it can also be abstracted by adopting phase-frequency characteristics and logarithmic amplitude-frequency characteristics. Compared with the second derivative of logarithmic amplitude-frequency characteristics, the third derivative of phase-frequency characteristics has better frequency resolution, so it can solve the combination of formant more effectively and abstract formant parameters more precisely.
【基金】 浙江省自然科学基金!698064
- 【文献出处】 电声技术 ,AUDIO ENGINEERING , 编辑部邮箱 ,2000年03期
- 【分类号】TN912.3
- 【被引频次】44
- 【下载频次】1260