2013 IEEE International Autumn Meeting on Power Electronics and Computing (ROPEC)最新文献

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Rectangular patch antenna array with defect ground structure for Wi-Fi 具有Wi-Fi接地结构缺陷的矩形贴片天线阵列

2013 IEEE International Autumn Meeting on Power Electronics and Computing (ROPEC) Pub Date : 2013-11-01 DOI: 10.1109/ROPEC.2013.6702732

M. Tecpoyotl-Torres, J. G. Vera Dimas, R. Castaneda-Sotelo, R. Vargas-Bernal

引用次数: 4

On aligning techniques, feature extraction and distance measures for Isolated Word Recognition 关于孤立词识别的对齐技术、特征提取和距离测量法

2013 IEEE International Autumn Meeting on Power Electronics and Computing (ROPEC) Pub Date : 2013-11-01 DOI: 10.1109/ROPEC.2013.6702733

José María Valencia-Ramírez, A. Camarena-Ibarrola

{"title":"On aligning techniques, feature extraction and distance measures for Isolated Word Recognition","authors":"José María Valencia-Ramírez, A. Camarena-Ibarrola","doi":"10.1109/ROPEC.2013.6702733","DOIUrl":"https://doi.org/10.1109/ROPEC.2013.6702733","url":null,"abstract":"Discrete Hidden Markov Models (DHMM's) are used in Automatic Speech Recognition (ASR) systems to model the dynamics of utterances as stochastic processes. Some researchers however prefer the use of Dynamic Time Warping (DTW) to deal with variations on the temporal evolution of utterances of the same word. Furthermore, some researchers in the field of ASR recommend the use of Mel frequency Cepstral Coefficients (MFCC) as the relevant features to be extracted from the speech signal while others use Linear Prediction Coefficients (LPC) for that matter. At evaluating the similarity of feature vectors we may use euclidean distance, cosine distance or the Itakura distance (in case of using LPC). We would like to know what combination of techniques should ASR developers use in the specific problem of Isolated Word Recognition. We implemented a number of ASR systems by changing the feature extraction module, the aligning techinque, the distance measure, or parameter's values and compared them in order for the sake of those interested in developping Isolated Word recognition systems. In this paper we report the results of our experiments using Receiver Operating Characteristics (ROC) curves to show which ASR system achieved the highest recognition rate.","PeriodicalId":307120,"journal":{"name":"2013 IEEE International Autumn Meeting on Power Electronics and Computing (ROPEC)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126189209","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

A step forward in the modeling of the doubly-fed induction machine for harmonic analysis 在双馈感应电机谐波分析建模方面取得了新的进展

2013 IEEE International Autumn Meeting on Power Electronics and Computing (ROPEC) Pub Date : 1900-01-01 DOI: 10.1109/ropec.2013.6702717

Emmanuel Hernández Mayoral, Manuel Madrigal Martínez

引用次数: 3

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