2015 International Conference on Communications and Signal Processing (ICCSP)最新文献_第4页

Emotion recognition using continuous density HMM 基于连续密度HMM的情绪识别

2015 International Conference on Communications and Signal Processing (ICCSP) Pub Date : 2015-04-02 DOI: 10.1109/ICCSP.2015.7322630

R. Anila, A. Revathy

{"title":"Emotion recognition using continuous density HMM","authors":"R. Anila, A. Revathy","doi":"10.1109/ICCSP.2015.7322630","DOIUrl":"https://doi.org/10.1109/ICCSP.2015.7322630","url":null,"abstract":"This paper proposes a technique to recognize the emotion present in the speech signal using Continuous Density HMM.The Perceptual Linear Predictive Cepstrum (PLPC) and Mel Frequency Perceptual Linear Predictive Cepstrum (MFPLPC) features are considered in our work and they are extracted from the speech and training models are created using Continuous Density HMM. For the Speaker Independent classification technique, pre- processing is done on test speeches and features are extracted. The log likelihood values are computed for all the models and the maximum value corresponds to the classification of particular emotion. The better recognition rate for emotions is obtained when the correct classification is counted for either one of the two features such as PLPC and MFPLPC. The emotions such as anger, fear and happy are grouped together as hard emotions and the emotions such as sad, boredom, disgust and neutral are grouped together as soft emotions. To classify a test speech corresponding to either hard emotion or soft emotion, the short-time energy value is computed for each emotional speech. The threshold value has been set to do this group classification correctly. All the test speeches are correctly classified as either hard or soft emotion. The sub-classification within a group is also done for a test speech. Accuracy is comparatively better for group models than that of the individual models. The results are obtained for the well-known and freely available database BERLIN using data of seven emotional states.","PeriodicalId":174192,"journal":{"name":"2015 International Conference on Communications and Signal Processing (ICCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130144579","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: 6

Performance analysis of novel adaptive model for non-linear dynamics system identification 非线性动力学系统辨识新自适应模型的性能分析

2015 International Conference on Communications and Signal Processing (ICCSP) Pub Date : 2015-04-02 DOI: 10.1109/ICCSP.2015.7322637

B N Sahu, M N Mohanty, S. Padhi, P K Nayak

引用次数: 1

Removal of noise from electrocardiogram using digital FIR and IIR filters with various methods 用各种方法用数字FIR和IIR滤波器去除心电图噪声

2015 International Conference on Communications and Signal Processing (ICCSP) Pub Date : 2015-04-02 DOI: 10.1109/ICCSP.2015.7322780

K. S. Kumar, Babak Yazdanpanah, P. R. Kumar

{"title":"Removal of noise from electrocardiogram using digital FIR and IIR filters with various methods","authors":"K. S. Kumar, Babak Yazdanpanah, P. R. Kumar","doi":"10.1109/ICCSP.2015.7322780","DOIUrl":"https://doi.org/10.1109/ICCSP.2015.7322780","url":null,"abstract":"Electrocardiogram (ECG) is a type of measuring the electrical activities of heart. Each section of ECG is necessary for the diagnosis of various cardiac problems. But the amplitude and time period of ECG signal is generally corrupted by various noises. After an analog ECG signal is transformed into digital format, appropriate digital filter can be utilized to repress the various kinds of noise like Baseline Wander, Power line Interference, High -frequency Noise, Physiological Artifacts etc., depends on their specifications. In generic two types of method can be classified in this paper; FIR filters like Rectangular, Hann, Blackman, Hamming and Kaiser window techniques and IIR filters like Butterworth, Chebyshev I, Chebyshev II and Elliptic filters are also prospected to reduce artifacts in ECG signal. The results are collected from different orders for FIR filter as 56, 300, 450, and 600 and for IIR filter as 1, 2, and 3. The signals taken from the MIT-BIH data base which contains the normal and abnormal waveforms. The work has been implemented in MATLAB FDA Tool. The results are obtained using different window based FIR filters, IIR filter with different approximation methods and their respective waveforms are shown. In addition, power spectrum density, signal to noise ratio (SNR) and means square error (MSE) of both noisy and filtered ECG signals are calculated. We observed that Digital FIR filter with Kaiser Window in order 56 shows high performance as compared to the other windowing techniques and Digital IIR filter approximation methods.","PeriodicalId":174192,"journal":{"name":"2015 International Conference on Communications and Signal Processing (ICCSP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126913859","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: 40

Seamless Vertical Handoff algorithm for WWANs and WLANs overlay networks 用于wlan和wlan覆盖网络的无缝垂直切换算法

2015 International Conference on Communications and Signal Processing (ICCSP) Pub Date : 2015-04-02 DOI: 10.1109/ICCSP.2015.7322923

R. Athilakshmi, V. Vijayalakshmi

引用次数: 2

A novel fuzzy logic model for multiple gas sensor array 多气体传感器阵列模糊逻辑模型

2015 International Conference on Communications and Signal Processing (ICCSP) Pub Date : 2015-04-02 DOI: 10.1109/ICCSP.2015.7322683

R. Parthasarathy, V. Kalaichelvi, Swaminathan H. Sundaram

引用次数: 2

Triple band microstrip patch antenna using defected ground plane 三波段微带贴片天线采用缺陷地平面

2015 International Conference on Communications and Signal Processing (ICCSP) Pub Date : 2015-04-02 DOI: 10.1109/ICCSP.2015.7322878

Chandan Bangera, V. Sawant

引用次数: 0

FIR low pass filter design using Craziness base Particle Swarm Optimization Technique 基于疯狂基粒子群优化技术的FIR低通滤波器设计

2015 International Conference on Communications and Signal Processing (ICCSP) Pub Date : 2015-04-02 DOI: 10.1109/ICCSP.2015.7322619

A. D. Borah, Abir J. Mondal, D. Muchahary, A. Majumder

引用次数: 9

Wireless sensor network based pollution monitoring system in metropolitan cities 基于无线传感器网络的大城市污染监测系统

2015 International Conference on Communications and Signal Processing (ICCSP) Pub Date : 2015-04-02 DOI: 10.1109/ICCSP.2015.7322841

Shwetal Raipure, D. Mehetre

{"title":"Wireless sensor network based pollution monitoring system in metropolitan cities","authors":"Shwetal Raipure, D. Mehetre","doi":"10.1109/ICCSP.2015.7322841","DOIUrl":"https://doi.org/10.1109/ICCSP.2015.7322841","url":null,"abstract":"Pollution detection and monitoring is very crucial task in todays world. To create better and safer environment for human being, animals, plants we need to monitor and control the pollution. This study proposes air pollution and monitoring model which detects pollution in air on the basis of data mining algorithm. The sensor grid is used to detect the sensor values from different gas sensors. Microcontroller is used to transfer the values from ADC to server. Data mining is used to calculate the pollutants from different areas. ID3 algorithm is used to calculate the values base on probability. Bluetooth module is used to connect the controller with client and the client connects with the server via web services. Wireless sensors are used to calculate the percentage of harmful gases present in the air that ultimately helps to provide the reduction in pollution. This system not only calculates the pollutants present in the air but also we can forecast to avoid future pollution in and can send the warning message to the particular polluted area. Here we consider mainly the chemical Industry near Pune and the I.T. area like Hinjewadi.","PeriodicalId":174192,"journal":{"name":"2015 International Conference on Communications and Signal Processing (ICCSP)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124499435","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: 29

Simulation of lock in amplifier (LIA) for very low signal measurements 用于极低信号测量的锁相放大器(LIA)仿真

2015 International Conference on Communications and Signal Processing (ICCSP) Pub Date : 2015-04-02 DOI: 10.1109/ICCSP.2015.7322717

P. Kumbhare, N. Sarwade, A. K. Sharma, Tushar Jankar

引用次数: 3

Design of bandpass filter using star loop dual mode resonator 星环双模谐振器带通滤波器的设计

2015 International Conference on Communications and Signal Processing (ICCSP) Pub Date : 2015-04-02 DOI: 10.1109/ICCSP.2015.7322877

K. Avinash, I. S. Rao

引用次数: 1