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帧能量
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  frame energy
     In the respect of feature extraction, 16-order LPC cepstrum, 12-order MEL frequency cepstrum and the mixed features of 12-order LPC cepstrum, pitch period and short-time normalized frame energy have been tested respectively and the result is as good as we expected.
     在特征提取方面,分别以16阶LPC倒谱系数、12阶MEL频率倒谱系数和12阶LPC倒谱系数、基音周期与短时归一化帧能量形成的混合参数进行实验,均得到了较好的实验结果。
短句来源
     In speech recognition systems, the frame energy-based voice activity detection (VAD) method may be affected by interferance from background noise and non-stationary characteristics of the frame energy in the voice segment. This paper presents a model to improve the performance and robustness of VAD by introducing visual information.
     在语音信号处理系统中,基于帧能量的语音端点检测(voiceactivitydetection,VAD)往往受到语音段能量不平稳及噪声的影响,为了提高语音端点检测的性能和鲁棒性,引入视觉信息。
短句来源
     The harmonic intensity (H) feature was used to develop a robust ASR to replace the zero-order cepstral coefficient (C_0) or frame energy (E) feature in the MFCCs.
     为了进行噪声环境中的自动语音识别,提出了一种反映语音信号谐振程度的特征:谐振强度,并用之代替传统MFCC特征中的能量维(零维倒谱C0,或者帧能量E)。
短句来源
     Before analyzed,Speech data are weighted by Hamming function and pre emphasized,silence segments are detected and discarded by computer automatically based on the frame energy threshold.
     分析之前 ,语音样本经过频域预加权和时域汉明窗加权处理 ,并利用帧能量门限自动去除了样本中的寂静段。
短句来源
     Based on the frame energy parameter and the distortion between a frame signal and stable background noise state, an utterance of telephone band Chinese continuous speech signal is divided into character speech that is characterized using Hidden Markov Model (HMM). Using dynamic time warping algorithm and minimizing the distortion, the isolated character speech recognition is performed. Thus continuous speech recognition is realized.
     基于帧能量参数和帧与稳态背景噪声状态之间的失真度,将连续的电话频带汉语语音信号分割至用隐马尔可夫链模型表示的以字为单位的语音,采用动态时间规正算法和最小失真度准则,作以字为单位的语音识别,从而实现连续语音识别.实验表明电话频带连续语音识到正确率达到75%.
短句来源
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  “帧能量”译为未确定词的双语例句
     Experiments show a 55.0% reduction in the frame error rate and a 98.5% reduction in sentence breaking error rate with the multimodal VAD as compared to the frame energy-based audio VAD.
     实验表明:同时利用音频和视觉信息的多模式VAD比基于帧能量的听觉VAD在帧错误率上有55.0%的相对下降,在断句错误率上有98.5%的相对下降。
短句来源
     In the HMM, the realization is based on 5 state transition, 32-observation length, and continuous possibility density function. In addition, states, which are ergodic, are divided by the segmentation of the frame normalized energy.
     对HMM,系统采用5状态、32混合数各态历经的连续模型实现,状态分割是基于归一化帧能量实现。
短句来源
     This article formulates the relation between mel Frequency and bark Frequency band and acquired a barkmel sheet. In experiment tothis sheet, cepstrum exaltation is also done to MFCC. First and second difference will be done to MFCC and one energy frame so that acquire 39 dimension feature parameters to optimize masking feature in picking up MFCC.
     本文详细研究了mel频标和bark频带的关系,得到了一个bark_(mel)表,在对此表的实验中,还对提取的MFCC系数做倒谱提升,MFCC系数和一帧能量帧进行一阶、二阶差分,得到39维特征参数,使得掩蔽特性在MFCC参数提取中达到最优化。
短句来源
     Under the different code parameter, we take the proposed algorithm compared to several present algorithms, and experiment results have shown that proposed algorithm could leave less energy in the residual frames, get more precise motion vector and better reconstructed frames.
     文章最后在不同的编码参数下,将所提算法与两种传统小波域运动估计算法作比较,根据实验所得数据分析,发现所提算法在性能上要优于另外几种算法,具体体现在运动估计后所得残差帧能量更小,重构帧客观与主观质量更高。
短句来源
     Based on the sequential characteristics of speech signal,the energy of frames and the zero crossing are used for the speech endpoint detection which is efficient for the speech recognition system.
     通过观察和分析语音信号的时域特性(主要是短时帧能量、短时过零率和帧能量差),并把它们应用于语音端点检测,为系统的建立做了基础准备。
短句来源
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  相似匹配句对
     Tracking down the energy
     能量追踪
短句来源
     The Theory of Energy Value
     能量价值论
短句来源
     Novel Frame Synchronization Algorithm for Improving the Performance of the European DVB-T System Using Superimposed PN Sequences with Low Power
     叠加弱能量PN序列DVB-T同步算法
短句来源
     Self-Adaptive Vowel-Frame Detection Algorithm Based on Energy Distribution Analysis in Frequency Domain
     基于频域能量分布分析的自适应元音提取算法
短句来源
     The Frame Relay Switched Technologies
     中继交换技术
短句来源
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  frame energy
Perturbation-theoretical methods are used to determine, for a pair of fermions with slightly different masses, the strength of the couplings that give rise to bound states with small values of the rest frame energy.
      
After dequantizing the code words and getting DCT coefficients, we calculate the average variance of the video frame as the frame energy.
      
By utilizing the scene change detection and frame energy, we can allocate bits to every frame based on its energy and type.
      
From the above analysis, we can see that both the frame energy and scene change detection can be calculated in the DCT domain.
      
Then the total frame energy is compared against a threshold to discard frames with silence or low noise only.
      
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Based on the frame energy parameter and the distortion between a frame signal and stable background noise state, an utterance of telephone band Chinese continuous speech signal is divided into character speech that is characterized using Hidden Markov Model (HMM). Using dynamic time warping algorithm and minimizing the distortion, the isolated character speech recognition is performed. Thus continuous speech recognition is realized. The experiments showed that correct rate for the telephone band continuous speech...

Based on the frame energy parameter and the distortion between a frame signal and stable background noise state, an utterance of telephone band Chinese continuous speech signal is divided into character speech that is characterized using Hidden Markov Model (HMM). Using dynamic time warping algorithm and minimizing the distortion, the isolated character speech recognition is performed. Thus continuous speech recognition is realized. The experiments showed that correct rate for the telephone band continuous speech recognition was 75%.

基于帧能量参数和帧与稳态背景噪声状态之间的失真度,将连续的电话频带汉语语音信号分割至用隐马尔可夫链模型表示的以字为单位的语音,采用动态时间规正算法和最小失真度准则,作以字为单位的语音识别,从而实现连续语音识别.实验表明电话频带连续语音识到正确率达到75%.

This thesis reports the course of the speech signal processing and the experimental recognition of ten decimal numbers.Based on Chinese characteristics,a Chinese syllable is used as a basic recognition unit.We construct a speaker dependent,experimental system for the single number speech recognition.Based on the sequential characteristics of speech signal,the energy of frames and the zero crossing are used for the speech endpoint detection which is efficient for the speech recognition system.The experimental...

This thesis reports the course of the speech signal processing and the experimental recognition of ten decimal numbers.Based on Chinese characteristics,a Chinese syllable is used as a basic recognition unit.We construct a speaker dependent,experimental system for the single number speech recognition.Based on the sequential characteristics of speech signal,the energy of frames and the zero crossing are used for the speech endpoint detection which is efficient for the speech recognition system.The experimental system consists of the following two parts:using the energy and its difference to detect speech endpoints and to get the silence frames and the voice frames,and dividing the band of 20Hz~4kHz into eighteen frequency bands based on the critical band.The result shows that the recognition rate of the single number is 98.6% and the recognition rate of the speaker is 92.2%.

对计算机语音处理和对单个数码字识别的实现进行了探讨。根据汉语语音的特点,以汉语单音字作为识别对象,对10个数码字识别进行了研究和实验。通过观察和分析语音信号的时域特性(主要是短时帧能量、短时过零率和帧能量差),并把它们应用于语音端点检测,为系统的建立做了基础准备。选用了语音信号的功率谱差的特征,进行了模板的建立与识别实验。测试结果表明,该系统性能较稳定,单个数码字识别率可达986%,说话人识别率达到922%。

In this paper we obtained the long term average amplitude spectrum of speakers based on sliding window DFT.A fter being energy normalized and frequency normalized,the long term average amplitude spectrums are stored as speech characteristics of the speaker.Before analyzed,Speech data are weighted by Hamming function and pre emphasized,silence segments are detected and discarded by computer automatically based on the frame energy threshold.In small speaker group,experiments show that this method has high...

In this paper we obtained the long term average amplitude spectrum of speakers based on sliding window DFT.A fter being energy normalized and frequency normalized,the long term average amplitude spectrums are stored as speech characteristics of the speaker.Before analyzed,Speech data are weighted by Hamming function and pre emphasized,silence segments are detected and discarded by computer automatically based on the frame energy threshold.In small speaker group,experiments show that this method has high correct rate of identification.In addition,both narrow band and broad band 3D power spectrum are presented,which acts as an auxiliary method for text independent speaker identification.

文章以动窗离散傅立叶变换为基础获取说话人的长时平均频谱 (即短时频谱的长时平均 ) ,然后将长时平均频谱经过能量归一化和频率归一化后作为“文本无关”话者识别的语音特征。分析之前 ,语音样本经过频域预加权和时域汉明窗加权处理 ,并利用帧能量门限自动去除了样本中的寂静段。通过在小人群范围内对该方法的大量实验 ,得到很好的话者识别效果。另外 ,作为“文本无关”话者识别的一个重要辅助手段 ,文章还利用短时频谱分析给出了话者语音样本的窄带三维语图和宽带三维语图 ,它们能清晰地给出话者语音的时变频率特征。

 
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