1,721,062 research outputs found
Korean Singing Voice Synthesis System based on an LSTM Recurrent Neural Network
No full textSinging voice synthesis (SVS) systems generate the singing voice from a musical score. Similar to the text-to-speech synthesis (TTS) field, SVS systems have also been greatly improved since the deep neural network (DNN) framework was introduced. Although they share many parts of the framework, the main difference between TTS and SVS systems is that the feature composing method, between linguistic and musical features, is important for SVS systems. In this paper, we propose a Korean SVS system based on a long-short term memory recurrent neural network (LSTM-RNN). At the feature composing stage, we propose a novel composing method, based on Korean syllable structure. At the synthesis stage, we adopt LSTM-RNN for the SVS. According to our experiments, our composed feature improved the naturalness of the voice, specifically in any part that has to be pronounced for a long time. Furthermore, LSTM-RNN outperformed the DNN based SVS system in both quantitative and qualitative evaluations
Modern benthic foraminiferal diversity of Jeju Island and initial insights into the total foraminiferal diversity of Korea
No full textThe diversity of benthic foraminiferal species was investigated around and along a transect of Jeju Island (South Korea). A total of 20 sediment samples were collected from water depths of 44 to 109 m in November 2011. Due to its substrate heterogeneity, position in between temperate and subtropical zones, and the different water masses influencing the location, Jeju Island has been suggested as an area that is able to support high meiobenthos biodiversity. We taxonomically identified a total of 304 benthic foraminiferal species belonging to 142 genera. Among them, 180 species are newly recorded for the Korean coastal water. On the basis of our findings, and taking into account previous publications, it was possible to infer the total benthic foraminiferal diversity of the Korean Peninsula. Accordingly, this new literature survey documents the presence of 818 species belonging to 239 genera, 89 families, and 40 superfamilies. These values are remarkably high and can be readily compared to those reported in area basins and seas like the Gulf of Mexico, the northeastern Atlantic Ocean, New Caledonia and the Aegean Sea. It must, however, be stressed that these figures might be an underestimation of total diversity, which is certain to increase if deep-sea sediments and monothalamids are also taken into account
An Energy-Efficient GAN Accelerator with On-chip Training for Domain Specific Optimization
No full textGenerative Adversarial Networks (GAN) consists of multiple deep neural networks cooperating and competing each other. Due to their complex architectures, training GANs requires huge computations and external memory accesses. However, retraining GANs with user-specific data is critical on mobile devices because the pretrained model outputs distorted images under user-specific conditions. This paper proposes an FPGA-based GAN training accelerator to enable energy-efficient domain specific optimization of GAN with user's local data. A SELRET(Selective-Layer Retraining) is proposed to reduce the computation by 69% through selecting layers that are effective in enhancing the quality of the output. Moreover, ROLIN (Reordering Layers for Instance Normalization) is proposed to reduce the external memory accesses of intermediate data. The design is implemented on Intel's Cyclone V, showing 51 GFLOPS peak performance with 10.04 GFLOPS/W energy-efficiency for face modification of 256x256 image
PNNPU: A 11.9 TOPS/W High-speed 3D Point Cloud-based Neural Network Processor with Block-based Point Processing for Regular DRAM Access
No full textAn efficient and high-speed 3D point cloud-based neural network processing unit (PNNPU) is proposed using the block-based point processing. It has three key features: 1) page-based point block memory management unit (PMMU) with linked list-based page table (LLPT) for on-chip memory footprint reduction, 2) hierarchical block-wise farthest point sampling (HFPS), and block skipping ball-query (BSBQ) for fast and efficient point processing, 3) Skipping-based max-pooling prediction (SMPP) for throughput enhancement. The PNNPU is fabricated in 65nm CMOS process and evaluated on the 3D object detection (3D OD) application. As a result, it shows 84.8 fps at 266.8mW power consumption and achieving 6.6-11.9 TOPS/W energy efficiency
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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