2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)最新文献_第7页

Dynamic Attention Loss for Small-Sample Image Classification 小样本图像分类的动态注意力损失

2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2019-11-01 DOI: 10.1109/APSIPAASC47483.2019.9023268

Jie Cao, Yinping Qiu, Dongliang Chang, Xiaoxu Li, Zhanyu Ma

引用次数: 2

Median based Multi-label Prediction by Inflating Emotions with Dyads for Visual Sentiment Analysis 视觉情感分析中基于中位数的多标签情绪膨胀预测

2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2019-11-01 DOI: 10.1109/APSIPAASC47483.2019.9023303

Tetsuya Asakawa, Masaki Aono

{"title":"Median based Multi-label Prediction by Inflating Emotions with Dyads for Visual Sentiment Analysis","authors":"Tetsuya Asakawa, Masaki Aono","doi":"10.1109/APSIPAASC47483.2019.9023303","DOIUrl":"https://doi.org/10.1109/APSIPAASC47483.2019.9023303","url":null,"abstract":"Visual sentiment analysis investigates sentiment estimation from images and has been an interesting and challenging research problem. Most studies have focused on estimating a few specific sentiments and their intensities. Multi-label sentiment estimation from images has not been sufficiently investigated. The purpose of this research is to accurately estimate the sentiments as a multi-label multi-class problem from given images that evoke multiple different emotions simultaneously. We first introduce the emotion inflation method from six emotions defined by the Emotion6 dataset into 13 emotions (which we call ‘Transf13’) by means of emotional dyads. We then perform multi-label sentiment analysis using the emotion-inflated dataset, where we propose a combined deep neural network model which enables inputs to come from both hand-crafted features (e.g. BoVW (Bag of Visual Words) features) and CNN features. We also introduce a median-based multi-label prediction algorithm, in which we assume that each emotion has a probability distribution. In other words, after training of our deep neural network, we predict the existence of an evoked emotion for a given unknown image if the intensity of the emotion is larger than the median of the corresponding emotion. Experimental results demonstrate that our model outperforms existing state-of-the-art algorithms in terms of subset accuracy.","PeriodicalId":145222,"journal":{"name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","volume":"5 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134288807","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

Dynamic Adjustment of Railway Emergency Plan Based on Utility Risk Entropy 基于效用风险熵的铁路应急预案动态调整

2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2019-11-01 DOI: 10.1109/APSIPAASC47483.2019.9023044

Qian Ren, Zhenhai Zhang

引用次数: 0

Delving into the Methods of Coverless Image Steganography 无覆盖图像隐写方法研究

2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2019-11-01 DOI: 10.1109/APSIPAASC47483.2019.9023053

Koi Yee Ng, Simying Ong, Koksheik Wong

引用次数: 2

Derivative of instantaneous frequency for voice activity detection using phase-based approach 基于相位的语音活动检测的瞬时频率导数

2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2019-11-01 DOI: 10.1109/APSIPAASC47483.2019.9023241

Nguyen Binh Thien, Yukoh Wakabayashi, Takahiro Fukumori, T. Nishiura

{"title":"Derivative of instantaneous frequency for voice activity detection using phase-based approach","authors":"Nguyen Binh Thien, Yukoh Wakabayashi, Takahiro Fukumori, T. Nishiura","doi":"10.1109/APSIPAASC47483.2019.9023241","DOIUrl":"https://doi.org/10.1109/APSIPAASC47483.2019.9023241","url":null,"abstract":"In this paper, we consider the use of the phase spectrum in speech signal analysis. In particular, a phase-based voice activity detection (VAD) by using the derivative of instantaneous frequency is proposed. Preliminary experiments reveal that the distribution of this feature can indicate the presence or absence of speech. The performance of the proposed method is evaluated in comparison with the conventional amplitude-based method. In addition, we consider a combination of the amplitude-based and phase-based methods in a simple manner to demonstrate the complementarity of both spectra. The experimental results confirm that the phase information can be used to detect voice activity with at least 62% accuracy. The proposed method shows better performance compared to the conventional amplitude-based method in the case when a speech signal was corrupted by white noise at low signal-to-noise ratio (SNR). A combination of two methods achieves even higher performance than each of them separately, in limited conditions.","PeriodicalId":145222,"journal":{"name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125690052","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

Can We Simulate Generative Process of Acoustic Modeling Data? Towards Data Restoration for Acoustic Modeling 声学建模数据的生成过程能否模拟?声学建模数据恢复研究

2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2019-11-01 DOI: 10.1109/APSIPAASC47483.2019.9023184

Ryo Masumura, Yusuke Ijima, Satoshi Kobashikawa, T. Oba, Y. Aono

{"title":"Can We Simulate Generative Process of Acoustic Modeling Data? Towards Data Restoration for Acoustic Modeling","authors":"Ryo Masumura, Yusuke Ijima, Satoshi Kobashikawa, T. Oba, Y. Aono","doi":"10.1109/APSIPAASC47483.2019.9023184","DOIUrl":"https://doi.org/10.1109/APSIPAASC47483.2019.9023184","url":null,"abstract":"In this paper, we present an initial study on data restoration for acoustic modeling in automatic speech recognition (ASR). In the ASR field, the speech log data collected during practical services include customers' personal information, so the log data must often be preserved in segregated storage areas. Our motivation is to permanently and flexibly utilize the log data for acoustic modeling even though the log data cannot be moved from the segregated storage areas. Our key idea is to construct portable models that can simulate the generative process of acoustic modeling data so as to artificially restore the acoustic modeling data. Therefore, this paper proposes novel generative models called acoustic modeling data restorers (AMDRs), that can randomly sample triplets of a phonetic state sequence, an acoustic feature sequence, and utterance attribute information, even if original data is not directly accessible. In order to precisely model the generative process of the acoustic modeling data, we introduce neural language modeling to generate the phonetic state sequences and neural speech synthesis to generate the acoustic feature sequences. Experiments using Japanese speech data sets reveal how close the restored acoustic data is to the original data in terms of ASR performance.","PeriodicalId":145222,"journal":{"name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124949432","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

Geometric Discriminant Analysis for I-vector Based Speaker Verification 基于i向量的说话人验证的几何判别分析

2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2019-11-01 DOI: 10.1109/APSIPAASC47483.2019.9023338

Can Xu, Xianhong Chen, Liang He, Jia Liu

{"title":"Geometric Discriminant Analysis for I-vector Based Speaker Verification","authors":"Can Xu, Xianhong Chen, Liang He, Jia Liu","doi":"10.1109/APSIPAASC47483.2019.9023338","DOIUrl":"https://doi.org/10.1109/APSIPAASC47483.2019.9023338","url":null,"abstract":"Many i-vector based speaker verification use linear discriminant analysis (LDA) as a post-processing stage. LDA maximizes the arithmetic mean of the Kullback-Leibler (KL) divergences between different pairs of speakers. However, for speaker verification, speakers with small divergence are easily misjudged. LDA is not optimal because it does not emphasize on enlarging small divergences. In addition, LDA makes an assumption that the i-vectors of different speakers are well modeled by Gaussian distributions with identical class covariance. Actually, the distributions of different speakers can have different covariances. Motivated by these observations, we explore speaker verification with geometric discriminant analysis (GDA), which uses geometric mean instead of arithmetic mean when maximizing the KL divergences. It puts more emphasis on enlarging small divergences. Furthermore, we study the heteroscedastic extension of GDA (HGDA), taking different covariances into consideration. Experiments on i-vector machine learning challenge indicate that, when the number of training speakers becomes smaller, the relative performance improvement of GDA and HGDA compared with LDA becomes larger. GDA and HGDA are better choices especially when training data is limited.","PeriodicalId":145222,"journal":{"name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134589632","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

Activation Driven Synchronized Joint Diagonalization for Underdetermined Sound Source Separation 欠确定声源分离的激活驱动同步联合对角化

2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2019-11-01 DOI: 10.1109/APSIPAASC47483.2019.9023297

T. Izumi, Shingo Uenohara, K. Furuya, Yuuki Tachioka

{"title":"Activation Driven Synchronized Joint Diagonalization for Underdetermined Sound Source Separation","authors":"T. Izumi, Shingo Uenohara, K. Furuya, Yuuki Tachioka","doi":"10.1109/APSIPAASC47483.2019.9023297","DOIUrl":"https://doi.org/10.1109/APSIPAASC47483.2019.9023297","url":null,"abstract":"Blind sound source separation (BSS) is effective to improve the performance of various applications such as speech recognition. The condition of BSS can be divided into underdetermined conditions (number of microphones < number of sound sources) and overdetermined conditions (number of microphones ≥ number of sound sources). Here, we focus on Synchronized Joint Diagonalization (SJD) [6], which is a newly proposed BSS method and utilizes non-stationarity of a sound source signal. The advantage of SJD is faster separation and smaller number of parameters to be estimated. However, the application of SJD is limited to overdetermined conditions, and the performance of SJD is degraded in underdetermined conditions. In this paper, to solve these performance degradations, we propose an activation driven SJD, which uses a pre-estimated activation matrix. It is practical because activation estimation is easier than source separation. The effectiveness of the proposed method was validated by conducting BSS experiments. We confirmed that the performance of SJD can be improved in underdetermined conditions.","PeriodicalId":145222,"journal":{"name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134476633","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

High-quality waveform generator from fundamental frequency, spectral envelope, and band aperiodicity 高质量的波形发生器从基频，频谱包络，和频带非周期性

2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2019-11-01 DOI: 10.1109/APSIPAASC47483.2019.9023206

M. Morise, Takuro Shono

{"title":"High-quality waveform generator from fundamental frequency, spectral envelope, and band aperiodicity","authors":"M. Morise, Takuro Shono","doi":"10.1109/APSIPAASC47483.2019.9023206","DOIUrl":"https://doi.org/10.1109/APSIPAASC47483.2019.9023206","url":null,"abstract":"This paper introduces a waveform generation algorithm from three speech parameters (fundamental frequency fo, spectral envelope, and band aperiodicity). The conventional speech analysis/synthesis system based on a vocoder mainly has a waveform generator based on pitch synchronous overlap and add (PSOLA). Since it uses the fast Fourier transform (FFT) to generate the vocal cord vibration, the processing speed is proportional to the fo. The algorithm also uses the spectral representation of the aperiodicity, whereas the band aperiodicity is mainly used in speech synthesis applications such as statistical parametric speech synthesis. We propose a waveform generation algorithm that reduces the computational cost and memory usage without degrading the synthesized speech. The algorithm utilizes excitation signal generation by directly using the band aperiodicity. The computational cost in a certain period is fixed because the excitation signal is filtered and processed by the overlap-add (OLA) algorithm. We used the re-synthesized speech to perform two evaluations for the processing speed and sound quality. The results showed that the sound quality of speech synthesized was almost the same by our proposed algorithm as by the conventional algorithm. The proposed algorithm can also reduce computational cost and memory usage.","PeriodicalId":145222,"journal":{"name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133431818","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

Modeling Multi-source Information Diffusion: A Graphical Evolutionary Game Approach 多源信息扩散建模:一种图形进化博弈方法

2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2019-11-01 DOI: 10.1109/APSIPAASC47483.2019.9023248

Hong Hu, Yuejiang Li, H. Zhao, Yan Chen

{"title":"Modeling Multi-source Information Diffusion: A Graphical Evolutionary Game Approach","authors":"Hong Hu, Yuejiang Li, H. Zhao, Yan Chen","doi":"10.1109/APSIPAASC47483.2019.9023248","DOIUrl":"https://doi.org/10.1109/APSIPAASC47483.2019.9023248","url":null,"abstract":"Modeling of information diffusion over social networks is of crucial importance to better understand how the avalanche of information overflow affects our social life and economy, thus preventing the detrimental consequences caused by rumors and motivating some beneficial information spreading. However, most model-based works on information diffusion either consider the spreading of one single message or assume different diffusion processes are independent of each other. In real-world scenarios, multi-source correlated information often spreads together, which jointly influences users' decisions. In this paper, we model the multi-source information diffusion process from a graphical evolutionary game perspective. Specifically, we model users' local interactions and strategic decision making, and analyze the evolutionary dynamics of the diffusion processes of correlated information, aiming to investigate the underlying principles dominating the complex multi-source information diffusion. Simulation results on synthetic and Facebook networks are consistent with our theoretical analysis. We also test our proposed model on Weibo user forwarding data and observe a good prediction performance on real-world information spreading process, which demonstrates the effectiveness of the proposed approach.","PeriodicalId":145222,"journal":{"name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133931863","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