2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH)最新文献

筛选

英文中文

Text-Independent Speaker Identification using Mel-Frequency Energy Coefficients and Convolutional Neural Networks 基于mel频率能量系数和卷积神经网络的文本无关说话人识别

2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH) Pub Date : 2021-02-09 DOI: 10.1109/IHSH51661.2021.9378726

Déhia Abdiche, K. Harrar

{"title":"Text-Independent Speaker Identification using Mel-Frequency Energy Coefficients and Convolutional Neural Networks","authors":"Déhia Abdiche, K. Harrar","doi":"10.1109/IHSH51661.2021.9378726","DOIUrl":"https://doi.org/10.1109/IHSH51661.2021.9378726","url":null,"abstract":"Automatic Speaker Identification (ASI) is a biometric technique, which had achieved reliability in real applications, with standard feature extraction methods such as Linear Predictive Cepstral Coefficients (LPCC), Perceptual Linear Prediction (PLP), and modeling methods such as Gaussian mixture model (GMM), etc. However, the success of these manual approaches was quickly hampered by the emergence of big data, and the inability of scientists to manipulate large amounts of data, which led researchers to move towards automatic methods such as deep neural networks. In this work, a Convolutional Neural Network (CNN) is suggested for speaker identification in text-independent mode. Mel-Frequency Energy Coefficients (MFEC) method was used for extracting the characteristics of audio signals and the obtained coefficients were injected into the convolutional neural network model for classification (identification). In addition, a comparison was made between the proposed method and the existing traditional methods. Experimental results show that the proposed structure resulted in a speaker identification rate of 97.89%, which is much higher than the rates obtained in the old state of the art methods.","PeriodicalId":127735,"journal":{"name":"2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132390211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-agent modeling and simulation of wind turbine behavior with failure propagation consideration 考虑故障传播的风力机多智能体建模与仿真

2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH) Pub Date : 2021-02-09 DOI: 10.1109/IHSH51661.2021.9378717

Fatima Souad Bezzaoucha, M. Sahnoun, S. Benslimane

引用次数: 0

First Steps Toward a Full-Web National Telemedicine Portal 迈向全网络国家远程医疗门户的第一步

2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH) Pub Date : 2021-02-09 DOI: 10.1109/IHSH51661.2021.9378724

Mouna Kenoui, Khadidja Belgacem, Ghizlene Chaffa, F. Bouderbala, Ramzi Lakhneche, Idir Oudjoudi

引用次数: 1

首页上一页