speech frequency
英 [spiːtʃ ˈfriːkwənsi]
美 [spiːtʃ ˈfriːkwənsi]
网络 声频; 语频; 语音频率; 通话频率; 口声频率,语频...; 音频; 话音频率; 音频,语频,通话频率
双语例句
- Based on the equal-loudness rune, a speech frequency equalizer is designed combing with the principle of electronic-to-sound transform.
以人耳等响曲线为依据，结合电声转换的原理，设计了一种语音频率均衡电路。 - Algorithm of piecewise linear predictive coding for speech formant frequency estimation
语音信号共振峰频率估计的分段线性预测算法 - Effects of Military Noise on the Average Hearing Threshold of the Speech Frequency and High Frequency in the Elders
军事噪声对老年人言语频率及高频听力的影响 - Whole patients 'average preoperative and postoperative air conduction hearing threshold and air-bone conduction gap were not significantly different in speech frequency.
总病例的平均术前、术后气导听阈和骨-气导差在语言频率差异无显著性。 - The useful speech time frequency components can be picked up successfully by the proposed algorithm, and they are used to reconstruct the enhanced outputs.
新算法通过提取混合语音输入中的有效语音时频成分并利用人耳的听觉掩蔽效应重构合成增强语音输出信号。 - Based on the characters of FPGA, give simplify method of short-time Autocorrelation function for the pitch estimation, and discuss one bit quantify apply in the speech signal frequency analyze.
结合FPGA特点，讨论简化短时自相关函数法实现基音周期的估值，并介绍单bit方法应用于语音信号频域分析。 - The effects of the noise source and its direction of Chinese speech average frequency spectrum on the intelligibility of Chinese speech were discussed in different room acoustical characteristics and signal-to-noise ratio ( SNR) conditions.
在不同室内声学特性、不同信噪比条件下探讨汉语语言平均频谱干扰噪声及其方向对汉语语言清晰度的影响。 - Applying the Hilbert-Huang Transform and further post-processing on the speech signals, the speech fundamental frequency and its variation with respect to time are obtained.
语音信号直接进行Hilbert-Huang变换后，通过基音频率搜索处理得到基音频率及其随时间的变化。 - Conclusion It seems that parents 'education background, living area and speech correction frequency were significant contributing factors that affect postoperative speech outcomes of CP patients.
结论患者的语音清晰度同父母文化水平、生活地区及是否经常受到语音纠正有明显相关性。 - 723.1 arithmetic is a compressing arithmetic that proposed by ITU-T and applied in speech and other audio frequency signals of low velocity multimedia.
723.1算法是ITU-T建议的应用于低速率多媒体服务中语音或其它音频信号的压缩算法。 - Speech Signal Fundamental Frequency Detection Based on Wavelet Transform
基于小波变换的语音信号基音频率检测法 - Rate for hearing loss of speech frequency and throughout frequency was 3.6% respectively.
语频和全频听力损失的分别为3.6%。 - The result of experiments indicates, even the duration of speech have been doubled, the character of speech's frequency spectrum keep steady, few new noise is imported, speech will not be distorted, the effect of speech enhancement is favorable.
实验结果表明，在语音的持续时间延长1倍后，语音的频域特征基本保持不变，不引入大的附加噪声，语音不失真，对改善语音清晰度具有良好的效果。 - The speech feature parameter Mel Frequency Cepstrum Coefficient ( MFCC) is one of the most effective feature parameter in speech recognition. But its amount of computation is too large to apply to low embedded platform.
语音特征参数MFCC（美尔频标倒谱系数）是语音识别中最有效的特征参数之一，但由于MFCC参数的计算量太大而限制了其在低端嵌入式平台的应用； - Speech formant frequency estimation based on Hilbert-Huang transform
基于Hilbert-Huang变换的语音信号共振峰频率估计 - Bone conduction threshold shift at speech frequency was associated with the ages.
语频骨导听力损失程度随着患者年龄的增加而逐渐加重。 - The Simple Indicator for Speech Frequency Band
简易语音频宽演示仪 - A speech coding technique with frequency parameter based on sinusoidal model
基于正弦模型的语音频域参数编码 - The experiment results show that the synthetic speech signal achieved in this paper is quite similar to the original speech signal on the frequency spectrum envelope character, the frequency domain character is much more close to human physiological characteristic.
实验结果表明：本方法获得的合成语音与原始语音在频谱包络特征上非常相似，频域特征更接近人耳的实际生理特性。 - Results The impairment rate of hearing threshold levels in speech and high frequency was increased with the level of noise exposure.
结果语频损伤和高频损失发生率随暴露水平而增高； - Detection of Visual Speech Signal and Fundamental Frequency Phonetic Analysis
可视式语音信号的分析及基音检测 - The predictive curve indicated that the critical value of cumulative noise exposure be 100 dB ( A) in speech frequency hearing impairment.
预测模型显示语频损伤的临界累积噪声暴露阈值为100dB（A）。 - Theoretical Basis of Asynchronous Speech Scrambling Algorithm and Frequency Domain Algorithm
异步语音置乱算法的理论基础及频域算法 - First the wavelet transform is used to decompose speech signal into five frequency bands.
首先采用小波变换对语音信号进行五层的小波分解，从分解后的各层信号去分析语音信号的时频特征； - In the end, the pure speech signal is obtained. Another proposed AANC system is combined with spectrum shifting. It makes use of that the car interior noise is at low frequency and separates the speech and noise in frequency domain.
另一个解决方案是基于频谱搬移技术的AANC系统，利用车内噪声的低频特性将语音与信号在频域上分离，同样达到了在降噪的同时进行语音通信的目的。 - The quantifier is the part of speech, of which frequency in use is very high in daily life of Chinese people.
量词在中国人日常生活中是使用频率很高的词类。 - Experimental results reveal that the proposed speech enhancement algorithm can improve recognition ratio on ASR system. A denoising algorithm based on multi-order autocorrelation was studied, which is used to retain the structure of speech frequency spectrum while suppressing the noise.
实验结果表明所提算法可以有效提高语音识别系统的识别正确率。研究了基于多次自相关运算的去噪算法，其目的是保证在去噪的同时而不改变语音信号的频谱结构。 - A kind of speech parameter called instantaneous frequency estimation ( IFE) are extracted by the weighted estimation both on amplitude and frequency to represent the accurate frequency structure of speech.
通过两者的加权估计得到了一种语音特征参数&瞬时频率估计（IFE），该参数可以描绘语音的精细频率结构。 - As the constituent of the node integrated server, data node is responsible for all kinds the data access except speech sound and video frequency.
作为节点综合服务器的组成部分，数据节点子系统担负着除语音、视频之外的各类数据的接入任务。