Results 71 to 80 of about 3,813 (182)

基于小波散射变换和MFCC的双特征语音情感识别融合算法

open access: yesDianxin 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

Reconocimiento de patrones de habla usando MFCC y RNA

open access: yesVisión Electrónica, 2016
En este trabajo se presentan los resultados del diseño y desarrollo de un algoritmo basado en inteligencia artificial para el reconocimiento de patrones de vocablos del idioma español, utilizando Coeficientes Cepstrales en las Frecuencias de Mel o (MFCC),
Olga L. Ramos   +2 more
doaj   +1 more source

Research of coal and gangue interface recognition based on Mel frequency cepstrum coefficient and genetic algorithm

open access: yesGong-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  

Optimizing MFCC Parameters for Breathing Phase Detection

open access: yesSensors
Breathing phase detection is fundamental for various clinical and digital health applications, yet standard Mel Frequency Cepstral Coefficients (MFCCs) settings often limit classification performance. This study systematically optimized MFCC parameters, specifically the number of coefficients, frame length, and hop length, using a proprietary dataset ...
Assel K. Zhantleuova   +2 more
openaire   +2 more sources

Audio Signal Classification using Mel-Frequency Cepstrum Coefficients and Deep Neural Network for Noon Saakin or Tanween Tajweed Rule Dataset

open access: yesJOIV: International Journal on Informatics Visualization
The 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

FEATURE EXTRACTION USING I-VECTOR AND X-VECTOR METHODS FOR SPEAKER DIARIZATION [PDF]

open access: yesICTACT Journal on Soft Computing
Speaker diarization is the process of identifying who is speaking at different times in audio recordings. This is important in various situations, such as recording meetings, monitoring calls in call centers, or analyzing media.
Vinod K. Pande   +2 more
doaj   +1 more source

Fault diagnosis method for underground coal mining equipment audio signals based on improved transfer learning

open access: yesGong-kuang zidonghua
The underground production environment in coal mines is harsh, and key equipment such as gas pumps, ventilators, and coal shearers often operate continuously, making them susceptible to faults.
QIU Ji'er, WANG Qi, WANG Peng
doaj   +1 more source

Dilated-Convolutional Recurent Neural Network untuk Klasifikasi Genre Musik

open access: yesJuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Dalam era digital, pemanfaatan teknologi untuk mengelompokkan genre musik secara otomatis menjadi sangat penting, terutama untuk aplikasi seperti rekomendasi musik, analisis tren musik, dan pengelolaan perpustakaan musik digital.
Mochammad Rizqul Fatichin   +3 more
doaj   +1 more source

OVERCOMING OVERFITTING IN MONKEY VOCALIZATION CLASSIFICATION: USING LSTM AND LOGISTIC REGRESSION

open access: yesBarekeng
The problem of overfitting in a classification task involving animal vocalizations, namely squirrel monkeys, golden lion tamarins, and tailed macaques, is handled in this project.
Suryasatriya Trihandaru   +2 more
doaj   +1 more source

E‑mail: 849438179@qq.com

open access: yesZhendong Ceshi yu Zhenduan
针对声音信号分析在诊断带式输送机托辊故障中的高维特征存在信息冗余、计算量大和诊断效果不理想等问题,笔者构建了声音信号特征精简策略,基于Circle混沌映射、Levy飞行策略和正弦因子改进了霜冰优化算法(rime optimization algorithm,简称RIME),记作CLSRIME。再结合极致梯度提升模型(extreme gradient boosting,简称XGBOOST),构建了CLSRIME‑XGBOOST带式输送机托辊轴承故障诊断方法。首先,利用梅尔倒谱系数(Mel⁃scale ...
doaj   +1 more source

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