feature of speech
英
美
[网络] 演讲特点
双语例句
- According to the simulated results, the power spectrum of ARMA model is more accurate than that of AR model, which is more suitable to reflect the feature of speech signal. ( 4) ARMA model is used in CELP.
由仿真可知，ARMA模型比AR模型的功率谱更加准确，更适合描述语音信号的特性。（4）将ARMA应用到CELP算法中。 - Objective To compare between two methods of speech input, with the aim of providing a reference for further research of phonetic feature of Chinese pathological speech.
目的比较不同语音输入法的异同，为进一步认识汉语病理性语言的音声特征提供参考。 - Finally, according to the feature of speech recognition system which is designed in the paper, the principle of DTW arithmetic is discussed to be the recognition method of this system and the simulation process of the recognition voice is done using this method.
根据本文设计的语音识别系统的特点，确定了动态时间归正（DTW）语音识别方法作为本系统的识别方法，并采用该算法对要识别的语音进行了仿真，得到正确的识别结果。 - The feature distribution of speech and non-speech, and the form of change, are examined for speech detection.
介绍和提出了一种基于x~2分布的突变检测和一种语音/非语音决策树； - This paper uses wavelet theory in noise-robust feature extraction of speech recognition and introduces a feature extraction method based on Gauss wavelet filter. The Gauss wavelet filter with human critical frequency band is obtained by studying human auditory characteristics.
把小波理论应用于抗噪语音识别特征提取，提出了基于高斯小波滤波器的语音识别特征提取方法，通过对人耳听觉特性的研究，按照人耳临界带宽设计了一组高斯小波带通滤波器。 - In the new model is established, the speech recognition system, the selection of the speech signal of speech signal feature extraction and recognition of speech signal analysis.
在新的模型下，建立了语音分析识别系统，对所选取的语音信号进行特征参数提取和语音信号分析识别。 - Difference technology can express the dynamic feature parameters of speech.
差分技术可以体现语音特征参数的动态特征。 - During simulation experiment, wavelet analysis technique is adopted to extract feature vectors of speech, the results show that SVM and FSVM have both higher correct recognition rate and shorter training time than RBF network.
在仿真实验中，采用小波分析方法提取语音特征向量，识别结果表明，SVM和FSVM比RBF网络具有较好的泛化性能，训练时间也大大缩减。 - Study on Robust Feature Extraction Method of Speech and Audio-based Context Recognition
稳健语音特征和音频场景识别方法的研究 - In order to assess speech quality effectively, a new approach of feature extraction of speech signals, MFSC ( Mel-frequency spectral coefficient), was proposed on the basis of the speech perception model.
为了有效评价通信系统中的语音质量，基于语音感知分析，提出了Mel域上一种新的语音信号特征表示方法&MFSC（美尔谱系数）。