2015 Communication, Control and Intelligent Systems (CCIS)最新文献_第10页

Automatic speech recognition for connected words using DTW/HMM for English/ Hindi languages 自动语音识别连接词使用DTW/HMM为英语/印地语

2015 Communication, Control and Intelligent Systems (CCIS) Pub Date : 2015-11-01 DOI: 10.1109/CCINTELS.2015.7437908

S. Singhal, R. Dubey

引用次数: 11

A high speed power efficient dynamic comparator designed in 90nm CMOS technology 采用90纳米CMOS技术设计的高速高效动态比较器

2015 Communication, Control and Intelligent Systems (CCIS) Pub Date : 2015-11-01 DOI: 10.1109/CCINTELS.2015.7437942

Vijay Sharma, Gaurav Kr Sharma, Divesh Kumar

引用次数: 4

Implementation of closed loop based scan mechanism 基于闭环扫描机制的实现

2015 Communication, Control and Intelligent Systems (CCIS) Pub Date : 2015-11-01 DOI: 10.1109/CCINTELS.2015.7437930

Leo Louis, Ashok Kumar

引用次数: 4

Development of a software module for feature extraction and classification of EMG signals 肌电信号特征提取与分类软件模块的开发

2015 Communication, Control and Intelligent Systems (CCIS) Pub Date : 2015-11-01 DOI: 10.1109/CCINTELS.2015.7437917

Chanchal Garg, Y. Narayan, L. Mathew

{"title":"Development of a software module for feature extraction and classification of EMG signals","authors":"Chanchal Garg, Y. Narayan, L. Mathew","doi":"10.1109/CCINTELS.2015.7437917","DOIUrl":"https://doi.org/10.1109/CCINTELS.2015.7437917","url":null,"abstract":"When the upper limb is amputated or lost, a prosthetic device play an important role in rehabilitation. Prosthetics are available in the form of myoelectric devices. These devices work by sensing the Electromyogram (EMG) signals, through electrodes, when the muscles in the upper arm move, this makes an artificial hand to move accordingly. EMG signals cannot be used directly in raw form to control any prosthetic, it needs to be processed before controlling any device. Different techniques are available for processing the EMG signals. Present paper has used the wavelet transform method to obtain the characteristics or features of EMG signals and then fuzzy controller has been applied on those features so that EMG signals can be used to make prosthetic device functional. NI Lab View, an efficient professional mathematical tool, has been used to process the EMG signals. EMG signals are acquired with the help of sensors placed on the skin and Data Acquisition System. Results of the experiment shows that the developed software module is an effective method to process the EMG signals and can be used for prosthetic devices.","PeriodicalId":131816,"journal":{"name":"2015 Communication, Control and Intelligent Systems (CCIS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128497896","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: 12

Fuzzy based optimal load management in standalone hybrid solar PV/Wind/Fuel Cell generation system 基于模糊的独立太阳能光伏/风能/燃料电池混合发电系统最优负荷管理

2015 Communication, Control and Intelligent Systems (CCIS) Pub Date : 2015-11-01 DOI: 10.1109/CCINTELS.2015.7437965

S. Dey, Ritesh Dash, S. Swain

引用次数: 18

A novel framework for adaptive user interface 一种新的自适应用户界面框架

2015 Communication, Control and Intelligent Systems (CCIS) Pub Date : 2015-11-01 DOI: 10.1109/CCINTELS.2015.7437954

Shahbaaz Ahmad, Mahfooz Rahman, Muneeb H. Khan, M. S. Umar

引用次数: 1

An efficient un-supervised Voice Activity Detector for clean speech 一种高效的无监督语音活动检测器，用于清洁语音

2015 Communication, Control and Intelligent Systems (CCIS) Pub Date : 2015-11-01 DOI: 10.1109/CCINTELS.2015.7437913

Mamta Kumari, I. Ali

{"title":"An efficient un-supervised Voice Activity Detector for clean speech","authors":"Mamta Kumari, I. Ali","doi":"10.1109/CCINTELS.2015.7437913","DOIUrl":"https://doi.org/10.1109/CCINTELS.2015.7437913","url":null,"abstract":"In the recent years, the trend of speech signal processing becomes one of the most challenging fields. Now a days, several voice based biometry authentication systems are available to comply the requirements of our daily needs. The overall performances of these systems are totally based on the complexity of each part of the algorithm. Voice Activity Detector (VAD) is one of such relevant part. It can be designed in time domain as well as frequency domain. Time domain VAD have low complexity than the frequency domain or, other domain, like, wavelet transform domain based VAD. Normally, VAD is used to remove the silence portions from the speech signal and a suitable VAD must have high speech activity detection rate (HR1) and high non-speech detection rate (HR0). HP1 and HP0 are quantitative measurement of VAD accuracy to enumerate the speech, and silence part correctly from a speech signal. In this paper, we consider only time domain VAD for clean speech but, the existing time domain based VAD algorithms are not suitable to meet both of them simultaneously. Therefore, we design an unsupervised VAD algorithm which has high HR1, as well as, high HR0. The main advantage of unsupervised data segmentation is that no prior threshold information is required. Here, we use K-mean as an unsupervised clustering technique. In this paper, we compare different time domain voice activity detectors with our proposed VAD which we call it KVD (K-mean Voice-activity Detector). The results of that comparison show the highest performance of our proposed VAD.","PeriodicalId":131816,"journal":{"name":"2015 Communication, Control and Intelligent Systems (CCIS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133223472","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: 1