Signal and Information Processing Association Annual Summit and Conference (APSIPA), ... Asia-Pacific. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference最新文献

{"title":"Study on the Tones Biases of Mandarin Speaker in Amdo Tibetan Areas Based on Statistics","authors":"Zhenye Gan, Yi Jiao, Hongwu Yang, Gaungying Zhao, Zhimeng Song","doi":"10.1109/APSIPAASC47483.2019.9023138","DOIUrl":"https://doi.org/10.1109/APSIPAASC47483.2019.9023138","url":null,"abstract":"Tone learning is a major difficulty when students in Amdo Tibetan area learn mandarin. This paper uses experimental phonetics, comparative analysis, and theory and methods of biases analysis to investigate and analyze the pronunciation of mandarin in the Amdo Tibetan area. The perception experiment and similarity experiment were used to analyze the tone of mandarin in the Amdo Tibetan area. The experimental results show that in the process of learning mandarin, the students in Amdo Tibetan area learn from the highest to the lowest in order of tone4, tonel, tone3 and tone2. The most prone to sound in the process of speaking mandarin is tone4, and the most common pronunciation in their biased pronunciation is tone4. The similarity detection has a higher diagnostic accuracy rate, and tone1 has the best effect. The tone2 and tone3 are easy to judge the correct pronunciation as the biased pronunciation, and tone4 is easy to judge the biases pronunciation as the correct pronunciation.","PeriodicalId":91399,"journal":{"name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), ... Asia-Pacific. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference","volume":"6 5 1","pages":"1024-1028"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76887185","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}

{"title":"Internet of Things: Trend, technologies, and evolution","authors":"E. Karuppiah","doi":"10.1109/APSIPA.2017.8281991","DOIUrl":"https://doi.org/10.1109/APSIPA.2017.8281991","url":null,"abstract":"Dr. Ettikan Kandasamy Karuppiah, Director of Developers Ecosystem at Nvidia, South East Asia region assists innovators, researchers and techno-entrepreneurs to accelerate GPU adaptation for their R&D and software solutioning needs. He has direct experience and passionate in accelerated computing/software research/deep learning, design and development covering end-to-end needs. He has published numerous publications, patents and software libraries from current and past work.","PeriodicalId":91399,"journal":{"name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), ... Asia-Pacific. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference","volume":"69 1","pages":"37-38"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76031640","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}

{"title":"Keynote speech 1: An integrated deep learning approach to acoustic signal pre-processing and acoustic modeling with applications to robust automatic speech recognition","authors":"Chin-Hui Lee","doi":"10.1109/APSIPA.2017.8281987","DOIUrl":"https://doi.org/10.1109/APSIPA.2017.8281987","url":null,"abstract":"We cast the classical speech processing problem into a new nonlinear regression setting by mapping log power spectral features of noisy to clean speech based on deep neural networks (DNNs). DNN-enhanced speech obtained by the proposed approach demonstrates better speech quality and intelligibility than those obtained with conventional state-of-the-art algorithms. Furthermore, this new paradigm also facilitates an integrated deep learning framework to train the three key modules in an automatic speech recognition (ASR) system, namely signal conditioning, feature extraction and acoustic phone models, altogether in a unified manner. The proposed framework was tested on recent challenging ASR tasks in CHiME-2, CHiME-4 and REVERB, which are designed to evaluate ASR robustness in mixed speakers, multi-channel, and reverberant conditions. Leveraging upon this new approach, our team scored the lowest word error rates in all three tasks with acoustic pre-processing algorithms for speech separation, microphone array based speech enhancement and speech dereverberation.","PeriodicalId":91399,"journal":{"name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), ... Asia-Pacific. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference","volume":"146 1","pages":"v-viii"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77902902","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}

{"title":"Tutorial 1: Sequential decision making: Theories and applications","authors":"Yan Chen, Chih-Yu Wang","doi":"10.1109/APSIPA.2017.8281988","DOIUrl":"https://doi.org/10.1109/APSIPA.2017.8281988","url":null,"abstract":"Traditionally, the network and system management problem is formulated as an optimization problem with the assumption that all inputs are given at first and the decisions are made at a given time simultaneously. However, such an assumption is not realistic in many real world problems. Sequential decision making, a more general decision structure, exists commonly in our daily life, such as answer or vote on Q&A sites, tweets and comments on Twitter, access point association in wireless communications, channel access in cognitive radio networks, and so on. These examples share several characteristics: information asymmetry, network externality, and decision dependence. Such characteristics are the keys to understand how agents may behave under certain decision structure. Existing simultaneous decision making models cannot capture these key characteristics and therefore lead to inaccurate prediction or inefficient configuration, eventually degrade the system performance. In this tutorial, we present a series of game-theoretic frameworks to analyze and manage how rational users make sequential decisions with asymmetric information under different settings. We will provide in-depth theoretic analysis and share our experience in data-driven experimental results on various applications.","PeriodicalId":91399,"journal":{"name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), ... Asia-Pacific. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference","volume":"85 1","pages":"ix-xii"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85863739","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}

{"title":"Knowledge management system in falling risk for physiotherapy care of elderly","authors":"Worasak Rueangsirarak, N. Chakpitak, K. Meksamoot, Prapas Pothongsunun","doi":"10.1109/APSIPA.2014.7041812","DOIUrl":"https://doi.org/10.1109/APSIPA.2014.7041812","url":null,"abstract":"This paper describes the elderly healthcare research project affected by a fall. The decision support system is proposed as knowledge management method, including knowledge engineering to acquiring the expert's heuristically diagnostic knowledge and sharing this knowledge to the physiotherapist in the form of tool and application at the right time. This paper outlines a Knowledge Management System (KMS) to diagnose falling patterns in elderly people using Motion Capture Technology. The idea is to integrate an appropriate procedure including case based reasoning and motion capture to provide a decision support system. The diagnosis information derived from the process of KMS helps support the physiotherapist to determine serious falling risks in the elderly and recommend guidelines for medical treatment. The evaluation result shows an efficient performance with 80.95% of precision when using the Assumption Attribute category criteria with K NNR =3. Furthermore, the result of KMS-EUCS shows a high satisfaction from the users with 97.50% of satisfaction in a community of practice scenario. This can confirm the successful of KMS approach within the falling risk screening procedure.","PeriodicalId":91399,"journal":{"name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), ... Asia-Pacific. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference","volume":"53 93 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75449044","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}

{"title":"Forensics of image tampering based on the consistency of illuminant chromaticity","authors":"Yan-Li Huang, Shao-Zhang Liu, Jian-Cheng Zou, Lingxiang Zhou","doi":"10.1109/APSIPA.2014.7041551","DOIUrl":"https://doi.org/10.1109/APSIPA.2014.7041551","url":null,"abstract":"","PeriodicalId":91399,"journal":{"name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), ... Asia-Pacific. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference","volume":"58 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82327701","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}

{"title":"Process of reading and writing the tag of the motor vehicle electrical identification system based on the RFID technology","authors":"ChangCheng Wu, Dongbo Liu, Jiabin Hu","doi":"10.1109/APSIPA.2013.6694330","DOIUrl":"https://doi.org/10.1109/APSIPA.2013.6694330","url":null,"abstract":"","PeriodicalId":91399,"journal":{"name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), ... Asia-Pacific. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference","volume":"1 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84030044","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}

{"title":"Surface fluid registration and multivariate tensor-based morphometry in newborns - the effects of prematurity on the putamen.","authors":"Jie Shi,&nbsp;Yalin Wang,&nbsp;Rafael Ceschin,&nbsp;Xing An,&nbsp;Marvin D Nelson,&nbsp;Ashok Panigrahy,&nbsp;Natasha Leporé","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Many disorders that affect the brain can cause shape changes in subcortical structures, and these may provide biomarkers for disease detection and progression. Automatic tools are needed to accurately identify and characterize these alterations. In recent work, we developed a surface multivariate tensor-based morphometry analysis (mTBM) to detect morphological group differences in subcortical structures, and we applied this method to study HIV/AIDS, William's syndrome, Alzheimer's disease and prematurity. Here we will focus more specifically on mTBM in neonates, which, in its current form, starts with manually segmented subcortical structures from MRI images of a two subject groups, places a conformal grid on each of their surfaces, registers them to a template through a constrained harmonic map and provides statistical comparisons between the two groups, at each vertex of the template grid. We improve this pipeline in two ways: first by replacing the constrained harmonic map with a new fluid registration algorithm that we recently developed. Secondly, by optimizing the pipeline to study the putamen in newborns. Our analysis is applied to the comparison of the putamen in premature and term born neonates. Recent whole-brain volumetric studies have detected differences in this structure in babies born preterm. Here we add to the literature on this topic by zooming in on this structure, and by generating the first surface-based maps of these changes. To do so, we use a dataset of manually segmented putamens from T1-weighted brain MR images from 17 preterm and 18 term-born neonates. Statistical comparisons between the two groups are performed via four methods: univariate and multivariate tensor-based morphometry, the commonly used medial axis distance, and a combination of the last two statistics. We detect widespread statistically significant differences in morphology between the two groups that are consistent across statistics, but more extensive for multivariate measures.</p>","PeriodicalId":91399,"journal":{"name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), ... Asia-Pacific. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference","volume":"2012 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6014739/pdf/nihms608379.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36254116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing the Language of Therapist Empathy in Motivational Interview based Psychotherapy.","authors":"Bo Xiao,&nbsp;Dogan Can,&nbsp;Panayiotis G Georgiou,&nbsp;David Atkins,&nbsp;Shrikanth S Narayanan","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Empathy is an important aspect of social communication, especially in medical and psychotherapy applications. Measures of empathy can offer insights into the quality of therapy. We use an N-gram language model based maximum likelihood strategy to classify empathic versus non-empathic utterances and report the precision and recall of classification for various parameters. High recall is obtained with unigram while bigram features achieved the highest F1-score. Based on the utterance level models, a group of lexical features are extracted at the therapy session level. The effectiveness of these features in modeling session level annotator perceptions of empathy is evaluated through correlation with expert-coded session level empathy scores. Our combined feature set achieved a correlation of 0.558 between predicted and expert-coded empathy scores. Results also suggest that the longer term empathy perception process may be more related to isolated empathic salient events.</p>","PeriodicalId":91399,"journal":{"name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), ... Asia-Pacific. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference","volume":"2012 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5010859/pdf/nihms812826.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34369381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}