| 释义 |
MFCCCOCA³¹⁵¹¹¹⁺⁴
基本例句
Multi-Function Common Console 多功能共用控制台
At last, we analyzed some property of semantic knowledge and speaker feature information, two subcomponents of LPC, MFCC, and LPCC, by DTWexperiment.
通过 DTW实验分析了 LPC、 LPCC及 MFCC特征参数中语义及说话人特征信息两个子分量的一些特性。 cnki
The experiment results indicate that the new feature parameter WPP is able to outperform SBC and SBC is better than MFCC.
实验证明新特征参数 WPP的语音识别性能优于 SBC，而 SBC的识别性能优于 MFCC。 cnki
During the experiment, MFCCMel Frequency Ceptral Coefficient is adopted to speaker speech feature parameters.
实验中，采用美尔倒谱系数 MFCC作为话者语音特征参数。 dictall
Mapping the filtered MFCC to loudness the process of human perception is simulated.
将滤波后的参数映射为响度，由此模拟人的感知过程。 cnki
Selected for use MFCC and the difference and divided the characteristic parameter as phonetic recognition, to describe the non-linear characteristic of frequency of sense of hearing of ears of people.
选用美尔倒谱系数及其差分作为语音识别的特征参数，来描述人耳的听觉频率非线性特性。 cnki
The experiment results show that the system built on DWT- MFC has better noise robustness than on LPCC and MFCC.
实验表明，与 LPCC和 MFCC参数相比，采用 DWT- MFC参数使系统的噪声鲁棒性得到显著的提高。 cnki
The influences of rapidly changing signals to human perception can be stressed by filtering the relative spectra RASTA for MFCC.
对 MFCC进行相对谱 RASTA滤波，可以突出快变信号对听觉感知的影响。 cnki
The results of simulation and FPGA test show this kind of design is correct, which meets the requirement of real-time and precision in MFCC computation for speaker recognition.
通过仿真与 FPGA测试，验证了该设计的正确性，能够满足说话人识别中 MFCC参数提取的实时性要求和精度要求。 kns50.chkd.cnki.net
This paper proposes a high frequency weighted MFCC extraction method to improve the performance of speaker verification in noise conditions.
本文提出了一种可提高噪声环境下的说话人确认识别率的语音 MFCC参数高频加权方法。 dictall
This feature vector made the Gaussian Mixture Model GMM classifier outperform MFCC and Differential MFCC features in classification.
该混合特征使得高斯混合模型 GMM分类器可获得比使用 MFCC特征及其差分 MFCC更好的分类性能。 joca
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； cnki
MFCC parameters is main describes the spectrum envelope features, which is used to state the vocal track characteristics, while ignoring the impact of pitch frequency.
MFCC参数主要描述了表征声道特性的谱包络特征，而忽略了基音频率对它的影响。 dictall
MFCC uses intermediate clustering results in one type of feature space to help the selection in other types of feature spaces.
MFCC充分利用了一个特征空间的中间聚类结果来帮助另一个特征空间进行特征选择。 cnki
The robustness of feature parameters is also studied here and some new dynastic parameters with high dimension are presented based on MFCC and LPCC.
研究了鲁棒性特征参数问题，提出了一些新的基于 MFCC和 LPCC的高维动态参数； cnki |