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Classification of Stop Consonants using Modulation Spectrogram-Based Features 基于调制谱图特征的停止辅音分类
Indo-Japan Conference on Perception and Machine Intelligence Pub Date : 2015-02-26 DOI: 10.1145/2708463.2709051
Anshu Chittora, H. Patil, Kewal D. Malde
{"title":"Classification of Stop Consonants using Modulation Spectrogram-Based Features","authors":"Anshu Chittora, H. Patil, Kewal D. Malde","doi":"10.1145/2708463.2709051","DOIUrl":"https://doi.org/10.1145/2708463.2709051","url":null,"abstract":"In this paper, we propose use of modulation spectrogram-based features for stop consonants classification based on their place of articulation. Stop sounds are classified as bilabial, alveolar and velar according to their place of articulation. The modulation spectrogram which is a two- dimensional (i.e., 2-D) feature represents modulation of low frequency components with acoustic frequency. In this work, modulation spectrogram has been obtained for all stop consonants from TIMIT database and then a dimension reduction algorithm, viz., higher order singular value decomposition (HOSVD) is applied on the feature vectors. The reduced dimension feature set is then applied to a Support Vector Machine (SVM) classifier which gives an overall accuracy of 94.25% for stop classification and 95.29% for place of articulation classification.","PeriodicalId":289647,"journal":{"name":"Indo-Japan Conference on Perception and Machine Intelligence","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125128233","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: 2
Salient Keypoint Detection using Entropy Map for Iris Biometric 基于熵图的虹膜生物特征显著关键点检测
Indo-Japan Conference on Perception and Machine Intelligence Pub Date : 2015-02-26 DOI: 10.1145/2708463.2709052
Beeren Sahu, P. K. Sa, B. Majhi
{"title":"Salient Keypoint Detection using Entropy Map for Iris Biometric","authors":"Beeren Sahu, P. K. Sa, B. Majhi","doi":"10.1145/2708463.2709052","DOIUrl":"https://doi.org/10.1145/2708463.2709052","url":null,"abstract":"This paper presents a novel approach to detect salient keypoints from the textured region in iris of an individual for efficient recognition. Salient regions are visually pre-attentive distinct portions in an image. Entropy from local segments within an image is used as the significant measure of saliency. To know the entropy value of such portions, an entropy map is generated. Local feature extraction is achieved from the segmented annular iris. Salient keypoint detection is performed using the proposed method, and subsequently each point is represented using Speeded-Up Robust Feature (SURF) descriptor. Finally, matching is performed and the recognition accuracy is calculated from the Receiver Operating Characteristic (ROC) curve. All experiments are done on publicly available BATH and CASIAv3 databases.","PeriodicalId":289647,"journal":{"name":"Indo-Japan Conference on Perception and Machine Intelligence","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121340252","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: 2
Behavioural Modelling of Ragas of Indian Classical Music using Unified Modelling Language 基于统一建模语言的印度古典音乐Ragas行为建模
Indo-Japan Conference on Perception and Machine Intelligence Pub Date : 2015-02-26 DOI: 10.1145/2708463.2709037
S. Chakrabarty, Debashis De, Payel Gupta
{"title":"Behavioural Modelling of Ragas of Indian Classical Music using Unified Modelling Language","authors":"S. Chakrabarty, Debashis De, Payel Gupta","doi":"10.1145/2708463.2709037","DOIUrl":"https://doi.org/10.1145/2708463.2709037","url":null,"abstract":"This paper proposes a mechanism that represents behavioural modelling of Indian Classical Music based on Unified Modelling Language. The raga forms the backbone of Indian music and it is the combination of several notes sequences into a composition in a way, which is pleasing to the ear. The main objective behind the work is that it can be used as a good basis for retrieval of music information of Indian Classical Music songs. Unified Modelling Language is a visual language for producing and displaying the software designs. We apply this UML representation technique, mainly Sequence Diagram, Object Diagram, and Class Diagram to represent a song.","PeriodicalId":289647,"journal":{"name":"Indo-Japan Conference on Perception and Machine Intelligence","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127808519","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: 10
Adaptive Analog Disparity Model using Ocular Dominance Map 基于眼优势图的自适应模拟视差模型
Indo-Japan Conference on Perception and Machine Intelligence Pub Date : 2015-02-26 DOI: 10.1145/2708463.2709038
Sheena Sharma, Priti Gupta, C. Markan
{"title":"Adaptive Analog Disparity Model using Ocular Dominance Map","authors":"Sheena Sharma, Priti Gupta, C. Markan","doi":"10.1145/2708463.2709038","DOIUrl":"https://doi.org/10.1145/2708463.2709038","url":null,"abstract":"Biological vision system extracts depth from the difference in the left and right eye images. Numerous algorithms and their hardware implementations that compute disparity in real time have been proposed. However, most of them compute disparity through complicated functions that are difficult to realize in hardware and are biologically unrealistic. The brain most likely uses simpler methods to extract depth information and hence newer methodologies that could perform stereopsis with brain like elegance need to be explored. Physiological findings support the presence of disparity tuned cells in the visual cortex and show that the perception of depth evolves with experience and is not present at the time of birth. Therefore adaptively learning disparities may indeed be the algorithm underlying depth computations in the developing brain. This paper proposes a novel VLSI design using time-staggered Winner Take All to adaptively create disparity tuned cells.","PeriodicalId":289647,"journal":{"name":"Indo-Japan Conference on Perception and Machine Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130846869","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
Towards artificial flavor perception of black tea: An approach using fusion of electronic nose and electronic tongue responses with fuzzy ART classification technique 基于模糊ART分类技术的电子鼻和电子舌反应融合方法研究红茶人工风味感知
Indo-Japan Conference on Perception and Machine Intelligence Pub Date : 2015-02-26 DOI: 10.1145/2708463.2709040
Angiras Modak, R. Banerjee, B. Tudu, R. Bandyopadhyay, N. Bhattacharyya
{"title":"Towards artificial flavor perception of black tea: An approach using fusion of electronic nose and electronic tongue responses with fuzzy ART classification technique","authors":"Angiras Modak, R. Banerjee, B. Tudu, R. Bandyopadhyay, N. Bhattacharyya","doi":"10.1145/2708463.2709040","DOIUrl":"https://doi.org/10.1145/2708463.2709040","url":null,"abstract":"The human perception process related to quality evaluation of food or beverages can be broadly divided into two processes -sensation and perception. While the process of sensation is responsible for collection of huge amount of data using the different sensory organs, the perception process interprets the data by a fusion process in the brain. In this paper, we describe a fusion model to combine the senses of smell and taste for quality assessment of black tea using two instruments - electronic nose and electronic tongue. As a first level of analysis, principal component of analysis is used for clustering and fuzzy ART artificial neural network for classification of the samples.","PeriodicalId":289647,"journal":{"name":"Indo-Japan Conference on Perception and Machine Intelligence","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121586106","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: 2
SLAR (Simultaneous Localization And Recognition) Framework for Smart CBIR 智能CBIR的同时定位与识别框架
Indo-Japan Conference on Perception and Machine Intelligence Pub Date : 2012-01-12 DOI: 10.1007/978-3-642-27387-2_35
Gyanesh Dwivedi, Sukhendu Das, S. Rakshit, M. Vora, Suranjana Samanta
{"title":"SLAR (Simultaneous Localization And Recognition) Framework for Smart CBIR","authors":"Gyanesh Dwivedi, Sukhendu Das, S. Rakshit, M. Vora, Suranjana Samanta","doi":"10.1007/978-3-642-27387-2_35","DOIUrl":"https://doi.org/10.1007/978-3-642-27387-2_35","url":null,"abstract":"","PeriodicalId":289647,"journal":{"name":"Indo-Japan Conference on Perception and Machine Intelligence","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117062145","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: 4
Affective Information Processing and Representations 情感信息处理与表征
Indo-Japan Conference on Perception and Machine Intelligence Pub Date : 2012-01-12 DOI: 10.1007/978-3-642-27387-2_6
Dana Sugu, Amita Chatterjee
{"title":"Affective Information Processing and Representations","authors":"Dana Sugu, Amita Chatterjee","doi":"10.1007/978-3-642-27387-2_6","DOIUrl":"https://doi.org/10.1007/978-3-642-27387-2_6","url":null,"abstract":"","PeriodicalId":289647,"journal":{"name":"Indo-Japan Conference on Perception and Machine Intelligence","volume":"178 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124738069","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: 2
Estimation of Aroma Determining Compounds of Kangra Valley Tea by Electronic Nose System 用电子鼻系统评价康格拉谷茶香气测定化合物
Indo-Japan Conference on Perception and Machine Intelligence Pub Date : 2012-01-12 DOI: 10.1007/978-3-642-27387-2_22
D. Ghosh, A. Gulati, R. Joshi, N. Bhattacharyya, R. Bandyopadhyay
{"title":"Estimation of Aroma Determining Compounds of Kangra Valley Tea by Electronic Nose System","authors":"D. Ghosh, A. Gulati, R. Joshi, N. Bhattacharyya, R. Bandyopadhyay","doi":"10.1007/978-3-642-27387-2_22","DOIUrl":"https://doi.org/10.1007/978-3-642-27387-2_22","url":null,"abstract":"","PeriodicalId":289647,"journal":{"name":"Indo-Japan Conference on Perception and Machine Intelligence","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117282751","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: 4
A Second-Order Learning Algorithm for Computing Optimal Regulatory Pathways 计算最优调节路径的二阶学习算法
Indo-Japan Conference on Perception and Machine Intelligence Pub Date : 2012-01-12 DOI: 10.1007/978-3-642-27387-2_29
Mouli Das, C. A. Murthy, Subhasis Mukhopadhyay, R. K. De
{"title":"A Second-Order Learning Algorithm for Computing Optimal Regulatory Pathways","authors":"Mouli Das, C. A. Murthy, Subhasis Mukhopadhyay, R. K. De","doi":"10.1007/978-3-642-27387-2_29","DOIUrl":"https://doi.org/10.1007/978-3-642-27387-2_29","url":null,"abstract":"","PeriodicalId":289647,"journal":{"name":"Indo-Japan Conference on Perception and Machine Intelligence","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123347332","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
Semi-supervised Fuzzy Clustering Algorithms for Change Detection in Remote Sensing Images 遥感图像变化检测的半监督模糊聚类算法
Indo-Japan Conference on Perception and Machine Intelligence Pub Date : 2012-01-12 DOI: 10.1007/978-3-642-27387-2_34
N. S. Mishra, Susmita K. Ghosh, Ashish Ghosh
{"title":"Semi-supervised Fuzzy Clustering Algorithms for Change Detection in Remote Sensing Images","authors":"N. S. Mishra, Susmita K. Ghosh, Ashish Ghosh","doi":"10.1007/978-3-642-27387-2_34","DOIUrl":"https://doi.org/10.1007/978-3-642-27387-2_34","url":null,"abstract":"","PeriodicalId":289647,"journal":{"name":"Indo-Japan Conference on Perception and Machine Intelligence","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125650203","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
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