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Based on"The Data Bank System of the Standard Phonetic Features of Different Level in PSC", the thesis analyzes the variants of affricative versus fricative in syllables: z, c ,s - zh, ch, sh - j, q, x which are obscure in physiology; analyzes timbre phonetic variants aroused from the different match of seven main simple vowels and initials as well as the tonal patterns with the help of drawing the synthetic spectrograph and pitch spectrograph. So that the data can be offered to describe phonemes in 396 syllables in common use according to the acoustic analysis.

本文在"普通话水平测试各等级标准语言特征数据库系统"的支持下,通过制作396个常用音节语音样本的音高图和综合语图,考察在普通话教学和测试中从生理角度难以准确把握的一组仅有细微差异的塞擦音和擦音声母z、c、s-zh、ch、sh-j、q、x在音节拼合中的变体;考察7个主要单元音在与不同声母拼合构成的音节中音质上的变化模式;考察四个声调的变化形式,力图从语音声学物理特征角度的分析中为普通话常用音节音位语音规范度的描写提供客观的数据说明。

Http://www.uiowa.edu/~acadtech/phonetics/#英语音标规则有发音图型和真人的发音1 元音: 1 字母组合:ee ea e ie three tree green sheep meet beef see seek eat tea meat leave lead teacher team mean speak clean please he she me piece receive ceiling 2 发音字母 i y e sit picture it is list six ...

应该说我们的学生以前在英语学习时最重视、花时间最多的就是背单词、记语法、做考题……;而几乎不重视,花得时间也最少的就是把握语音、准确发音、纠正口音……。

In this method, we use the pooled correlogram based on human auditory model to extract the pitch of speech. An unsupervised lateral inhibitory network is used to get the peak position, which simulates the lateral inhibitory phenomenon in human auditory system.

采用基于人耳听觉模型的相关图来提取语音信号的基频,运用无监督的侧抑制神经网络来模拟人耳侧抑制属性进行基频检测,为了克服在低信噪比情况下侧抑制神经网络的误判问题,引入了相邻语音帧的语音基频的帧间约束。

In this paper, a new algorithm based on spectrogram for speech endpoint detection is presented.

利用语音在语谱图中表现出的不同特征,提出了一种基于语谱图的语音端点检测算法。

Subsequently, we use speech function to operate actions for mouse and keyboards corresponding to the square object; implying that we can easily control the application with speech as well. In order to increase the operation of applications with more flexibility and expandability, we may use macro command to define and combine the control commands.

只要在视窗应用程式之相对应位置上设定此图格物件,然后利用语音将控制命令送至开发之通用桥梁介面(Generic Interface Bridge, GIB),再经由GIB介面解析输入之指令后,模拟操作滑鼠或键盘控制此图格物件,如此便可达到利用语音来操作视窗应用程式之目的。

Various spectral-temporal cues extracted from the model are used for monaural speech segregation. Then, a self-organizing feature map neural network is utilized to mimic the neural function in segregating and clustering a mixed sound into separated sounds.

我们从此模型中取出不同在时域-频域上的一些使用於单耳语音分离系统的线索,之后,利用自组织映射图来模拟神经元将混合的语音分组和归类成分开的语音。

The spectrogram of every word is made.

他们所读的每个词都被转换成直观的语音图

Focus on using the spectrogram to recognize. This paper completed the sampling, quantization and preprocessing of the voice signals, and extract characteristic parameters and map spectrogram by MATLAB 6.5. Besides, it also did some further analysis and verification on voice samples recorded by ourselves. Finally, there is an actual cases of voiceprint recognition in forensic expertise.

在MATLAB6.5平台上,完成了从语音样本的采样与量化、语音信号的预处理、特征参数的提取,直到语谱图的绘制,并通过对自行录制的语音样本进行分析,验证了声纹识别的理论以及本文所采用的分析方法,最后,介绍了本识别方法在实际案件中的应用。

In order to standardize pronunciation of vowels, phoneticians invented a diagram illustrating the side view of oral cavity and showing clearly the pronouncing positions of different vowels.

为了规范元音的发音,语言学家发明了语音图,即语音口腔剖面图,使看不见、摸不着的不同元音有了明确的发音定位。

In order to standarize the pronunciation of vowels, phoneticians invented a diagram illustrating the side view of oral cavity and showing clearly the pronouncing positions of different vowels.

为了规范元音的发音,语言学家发明了语音图,即语音口腔剖面图,使看不见、摸不着的不同元音有了明确的发音定位。

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