Cepstral相关论文
为进一步研究语音特征提取方法,分析了基于逆离散余弦变换倒谱系数(IDCT CC)的语音特征,利用频域语音信号间的余弦相似度(cosine s......
基音参数检测是对基音周期的估计分析,这在语音信号处理中特别是在语音识别、语音信号的合成、还有编码方面,都起着举足轻重的作用......
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从男性、女性的静态美尔倒谱系数(Mel-frequency cepstral coefficients),MFCC)特征概率密度函数的峰值差异、平均值和方差等方面研究......
In audio stream containing multiple speakers, speaker diarization aids in ascertaining “who speak when”. This is an un......
随着说话人识别技术的发展,实用有效的说话人识别系统越来越成为研究的重点.语音特征参数的鲁棒性直接影响一个说话人识别系统的具......
Application specific voice interfaces in local languages will go a long way in reaching the benefits of technology to ru......
Robust Speech Recognition System Using Conventional and Hybrid Features of MFCC, LPCC, PLP, RASTA-PL
In recent years, the accuracy of speech recognition (SR) has been one of the most active areas of research. Despite that......
The objective of this work is to perform automatic diagnosis using a non invasive method which consists on the bioimpeda......
An algorithm involving Mel-Frequency Cepstral Coefficients (MFCCs) is provided to perform signal feature extraction for ......
Wake-Up-Word Speech Recognition task (WUW-SR) is a computationally very demand, particularly the stage of feature extrac......
In this study,vector quantization and hidden Markov models were used to achieve speech command recognition.Pre-emphasis,......
Seismic Edge Detection by Application of Cepstral Decomposition to Data Driven Modeled Geologic Chan
Seismic edge detection algorithm unmasks blurred discontinuity in an image and its efficiency is dependent on the preces......