MFCC can express speech spectrum more accurately at low frequency, so MFCC is a good method to express the spectral envelope in voice conversion;
MFCC可以更加准确地表示语音低频处的频谱包络，在语音转换中是一种很好的频谱包络表示方法；
This paper presents a channel adaptation method named spectral adjusting (SA) normalizes the distorted speech spectrum with a piecewise linear normalization function.
该文提出了一种新的信道自适应方法——频谱调整法。
This paper studies the speech enhancement technology, and proposes an improved spectral subtraction method based on the auditory characteristics and the speech spectrum characteristics.
主要以谱减法为基础，结合人耳的听觉特性从而减少残留“音乐噪声”的影响；结合语音的语谱在时-频域分布特性从而提高增强后语音的听觉质量。
It reduces the "music noise" using the human auditory characteristics, and enhances the hearing quality using the speech spectrum distribution characteristics in the time-frequency dimension.
主要以谱减法为基础，结合人耳的听觉特性从而减少残留“音乐噪声”的影响；结合语音的语谱在时-频域分布特性从而提高增强后语音的听觉质量。
Autistic spectrum disorders often result in major difficulties in comprehending verbal information and speech processing.
自闭症常常导致人们在理解言语信息和言语处理方面存在重大困难。
And to compensate the enhanced signal's energy loss and spectrum distortion, several reasonable schemes of Speech compensation are touched upon in the paper.
以补偿增强后信号的能量损失和频谱失真为目的，浅谈了几种语音补偿可实现的算法及设想。
This paper mainly discusses the speech enhancement algorithm based on the Minimum Mean Square Error (MMSE) estimation of speech short time spectrum.
本文主要讨论基于语音短时谱估计的语音增强算法。
This paper proposes a new speech enhancement scheme based on modified Minimum Mean Square Error (MMSE) estimation of speech Short Time Spectrum Amplitude (STSA).
本文提出了一种改进型语音短时谱最小均方误差(MMSE)估计的增强方法。
Objective \ to analyze the spectrum of vowels in the sequence therapy of patient with cleft palate in order to provide an objective basis for speech evaluation and correction.
目的分析腭裂病人序列治疗中元音的频谱特点，为腭裂病人的语音评价及语音矫治提供理论及临床上的指导。
Speech signal spectrum analysis is the time-varied spectrum analysis. FFT technique on speech signal spectrum analysis are discussed in detail in this paper.
针对语音信号频谱分析实际上是时变频谱分析的特性，详细地讨论了用FFT技术对语音进行频谱分析过程中的方法问题。
Traditional speech signal processing is based on FFT power spectral analysis, in noisy condition, the spectrum of noise and speech signal are processed in the same way.
传统语音信号谱特征的提取是基于FFT 的能谱分析方法，在噪音环境情况下，对噪音的频谱成分与语音信号的频谱成分的处理采用“平均主义”的原则。
Labels like ADD, ADHD, speech and language disorders, learning disabilities, and the autistic spectrum disorders may actually represent an increasing severity of sensory integration dysfunction.
像ADD，ADHD，口头与语言失调，学习困难，自闭也许实际上代表着感觉统合失调的严重性。
By the debugging, the coding of speech is realized; m sequence is produced. Moreover, the spread of signal frequency spectrum is realized.
通过调试实现了语音的编码、产生了m序列，并实现了信号频谱的扩展。
The proposed approach is tested on linear spectrum pair (LSP) parameters of speech signals.
提出了一种线谱对参数预测多级矢量量化联合优化算法。
In this paper, we have studied several speech enhancement systems that use spectrum subtraction method and Allen's reverberate noise suppression technique.
本文对采用减谱法和相关法的语音增强系统进行了研究，系统的噪声为白噪声和普通机房噪声。
Noise power spectrum estimation is a fundamental component of speech enhancement.
噪声功率谱估计是语音增强系统的一个重要组成部分。
Based on speech transformation and representation using adaptive interpolation of weighted spectrum (STRAIGHT), a wideband speech coding algorithm is presented.
提出了一种基于自适应加权谱内插(STRAIGHT)的宽带语音编码算法。
Energy-spectrum entropy and subharmonic-harmonic rate methods were used to analyze speech based on speech sinusoidal model.
基于语音正弦模型，采用能量谱熵和子谐波谐波比率方法进行语音分析。
Compare filter before and after speech signal waveform and spectrum.
比较滤波前后语音信号的波形及频谱。
Based on MATLAB language, complete speech signal spectrum analysis and collecting and filtering.
基于MATLAB语言编写，完成对语音信号的采集、频谱分析及滤波。
Correct noise power spectrum estimation and apriori signal-to-noise ratio (SNR) estimation are all essential to good quality of the enhanced speech.
噪声功率谱估计和先验信噪比估计的准确性有助于提高增强后的语音质量。
The frequency pseudocolor-coded speech spectrogram is then obtained by means of a sampling narrow slit placed at Fourier plane in white-light optical spectrum analyzer.
然后在白光光学频谱分析系统中，利用放置在傅里叶频谱面上的取样狭缝得到按频率假彩色编码的频谱图。
During the noise estimation, the estimation of its spectrum is updated by tracking the speech-absent frames.
噪声估计过程中通过跟踪带噪语音帧来更新噪声估计。
Autism lies on the more severe end of the spectrum whereas Asperger's is a milder condition that doesn't involve speech impairment (as classic autism does);
自闭症位于谱系较为严重的一端；阿斯伯格综合症不包括语言障碍（而典型自闭症包括），是较为缓和的谱系障碍；
The spectrum of auditory model and LPC-CEP shows that this auditory model not only represents speech signal well, but also is noise robust.
通过对听觉谱和L PC倒谱对比分析，得到了听觉谱适宜用作语音识别并具有良好的噪声鲁棒性的结论。
The spectrum of auditory model and LPC-CEP shows that this auditory model not only represents speech signal well, but also is noise robust.
通过对听觉谱和L PC倒谱对比分析，得到了听觉谱适宜用作语音识别并具有良好的噪声鲁棒性的结论。
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