Results 81 to 90 of about 10,198 (208)
Dianxin kexue为了充分挖掘语音信号频谱包含的情感信息以提高语音情感识别的准确性，提出了一种基于小波散射变换和梅尔频率倒谱系数（Mel-frequency cepstral coefficient，MFCC）的排列熵加权和偏差调整规则的语音情感识别融合算法（PEW-BAR）。算法首先获取语音信号的小波散射特征和梅尔频率倒谱系数的相关特征；然后按尺度维度扩展小波散射特征，利用支持向量机得到情感识别的后验概率并获得排列熵，并使用排列熵对后验概率进行加权；最后采用一种偏差调整规则进一步融合MFCC的相关特征的识别结果 ...
应娜, 吴顺朋, 杨萌, 邹雨鉴
doaj +1 more source
Advanced Intelligent Systems, Volume 8, Issue 6, June 2026.Overview of the proposed Gate‐Align‐SED, including two stages of training: (1) Mean‐Teacher SSL Training; and (2) Enhancer Model Training. In complex real‐world environments such as disaster monitoring, effective sound event detection (SED) is often hindered by the presence of noise and limited labeled data.
Jieli Chen +4 more
wiley +1 more source
MFCC: Mel-Frequency Cepstrum Coefficients (MFCC) feature extractor [PDF]
The Mel-Frequency Cepstrum Coefficients (MFCC) core block is designed to extract features from voice signals with high efficiency. This technology is ideal for applications such as keyword spotting, speaker identification, and voice activity detection ...
Emery, Stéphane
core
Gong-kuang zidonghua, 2013 In view of problems that γ ray method is not suitable for working face with no or little radioactive elements in roof and radar detection method has little detection range and serious signal attenuation which were used in current coal and gangue ...
HE Ai-xiang +3 more
doaj
Experiment 1: EKM confusion matrices using MFCC on EMIR.
, 2023 Experiment 1: EKM confusion matrices using MFCC on EMIR.
Richard Sutcliffe (15332790) +8 more
core +1 more source
JOIV: International Journal on Informatics VisualizationThe Al-Qur’an serves as a fundamental guide for Muslims, requiring both comprehension and practice. Accurate recitation according to tajweed rules is essential for a deeper understanding of its meaning.
Genta Hayindra Irawan +2 more
doaj +1 more source
Hybrid Mfcc And Lpc For Stuttering Assessment Using Neural Network [PDF]
, 2016 Stuttering is characterized by disfluencies, which disrupt the flow of speech. Traditional way of stuttering assessment is time consuming. The stuttering assessment results always inconsistent between different judges, because human perception on the ...
Choo , Chian Choong
core +1 more source
GMM based Language Identification using MFCC and SDC Features [PDF]
, 2014 - Language Identification (LID) is one of the most popular areas of research in speech signal processing. Now a day’s lots of approaches have been used to improve performance of LID system which includes Parallel Phone Recognition Language Modeling ...
Kshirod Sarmah, Utpal Bhattacharjee
core
COMPARISON OF DIFFERENT IMPLEMENTATIONS OF MFCC
, 2008 The performance of the Mel-Frequency Cepstrum Coefficients (MFCC) may be affected by (1) the number of filters, (2) the shape of filters, (3) the way that filters are spaced, and (4) the way that the power spectrum is warped.
Fang Zheng (郑方 +2 more
core
Heart Sound Analysis Using MFCC and Time Frequency Distribution [PDF]
, 2006 This paper presents heart sound analysis method based on Time-Frequency Distribution (TFD) analysis and Mel Frequency Cepstrum Coefficient (MFCC). TFD represents the heart sound in term of time and frequency simultaneously which while the MFCC defines a ...
J., M. Najeb +9 more
core +1 more source