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Siamese Capsule Network for End-to-End Speaker Recognition In The Wild [article]

Amirhossein Hajavi, Ali Etemad
2020 arXiv   pre-print
We also perform additional experiments to study the impact of different speaker embeddings on the Siamese capsule network.  ...  We show that the best performance is achieved by using embeddings obtained directly from the feature aggregation module of the Front-end and passing them to higher capsules using dynamic routing.  ...  ACKNOWLEDGEMENTS The authors would like to thank IMRSV Data Labs for their support of this work and also acknowledge the Natural Sciences and Engineering Research Council of Canada (NSERC) for supporting  ... 
arXiv:2009.13480v1 fatcat:d36ft5jjffes3jlgjkafahbthy

Unified analytical expressions for calculating resonant frequencies, transimpedances, and equivalent input noise current densities of tuned receiver front ends

Qing Zhong Liu
1992 IEEE transactions on microwave theory and techniques  
The expressions can be used to investigate the performances of different tuned front ends in a very simple way and provide a good starting point for further computer optimizations of the front ends. 2  ...  The Miller's capacitance has been taken into account, and its impact on the performances of the tuned front ends has been demonstrated.  ...  H~g d a h l from the Electromagnetics Institute, Technical University of Denmark, for providing the model for calculating the equivalent input noise current density of the front ends in Touchstone, and  ... 
doi:10.1109/22.120106 fatcat:lbm6dazrfbas5enedqo3ftgbke

Analyzing the Performance of an Anycast CDN

Matt Calder, Ashley Flavel, Ethan Katz-Bassett, Ratul Mahajan, Jitendra Padhye
2015 Proceedings of the 2015 ACM Conference on Internet Measurement Conference - IMC '15  
We find that anycast usually performs well despite the lack of precise control but that it directs roughly 20% of clients to a suboptimal front-end.  ...  Content delivery networks must balance a number of trade-offs when deciding how to direct a client to a CDN server.  ...  Acknowledgements We gratefully acknowledge Nick Holt and Daniel Gicklhorn for their support of this work. Matt Calder and Ethan Katz-Bassett were partially supported by the U.S.  ... 
doi:10.1145/2815675.2815717 dblp:conf/imc/CalderFKMP15 fatcat:d6zdlei46ja7lm67sibw5ayyly

Representation Selective Self-distillation and wav2vec 2.0 Feature Exploration for Spoof-aware Speaker Verification [article]

Jin Woo Lee, Eungbeom Kim, Junghyun Koo, Kyogu Lee
2022 arXiv   pre-print
Nonetheless, most end-to-end spoofing detection networks are black-box systems, and the answer to what is an effective representation for finding artifacts remains veiled.  ...  Evaluation performed with the SASV Challenge 2022 database show 1.08% of SASV EER.  ...  Several studies utilized sinc convolution-based network [20] as a front-end of anti-spoofing model [17, 21] .  ... 
arXiv:2204.02639v2 fatcat:po5rrzubpfalxkrc7pk4qwj3ii

LatLong: Diagnosing Wide-Area Latency Changes for CDNs

Yaping Zhu, Benjamin Helsley, Jennifer Rexford, Aspi Siganporia, Sridhar Srinivasan
2012 IEEE Transactions on Network and Service Management  
In this paper, we propose a tool for CDNs to diagnose large latency increases, based on passive measurements of performance, traffic, and routing.  ...  Through case studies of individual events, we identify research challenges for managing wide-area latency for CDNs.  ...  The data set we study is based on a sample, and does not cover all of the CDN network.  ... 
doi:10.1109/tnsm.2012.070412.110180 fatcat:4jrvrgfcsfduvpdynk72cov5oi

Architecture and dependability of large-scale internet services

D. Oppenheimer, D.A. Patterson
2002 IEEE Internet Computing  
An analysis of the architectures and causes of failure at three large-scale Internet services can help developers plan reliable systems offering maximum availability.  ...  The exact ratio of back end to frontend servers depends on the type of service and the performance characteristics of the back end and front-end systems.  ...  All three use customized front-end software rather than offthe-shelf Web servers for functionality or performance reasons. Back end.  ... 
doi:10.1109/mic.2002.1036037 fatcat:advn5knyqbdtfggtbh3kdadswm

Data taking network for COMET Phase-I [article]

Youichi Igarashi, Hiroshi Sendai
2020 arXiv   pre-print
The data taking system consists of two kinds of networks. One is a front-end network. Its network bundles around twenty front-end devices that have a 1-Gb optical network port.  ...  We evaluated data taking performance with an event building on these two kinds of networks. The event building throughput of the front-end network achieved 337 MiB/s.  ...  The front-end PC reads over twenty optical network links. Thus, a 1G/10G high-speed optical network switch is required in front of the front-end PC.  ... 
arXiv:2011.01220v1 fatcat:o5flivw5ozhe5j2jpoxr6hd4zm

Joint Optimization of Neural Acoustic Beamforming and Dereverberation with x-Vectors for Robust Speaker Verification

Joon-Young Yang, Joon-Hyuk Chang
2019 Interspeech 2019  
In this paper, we investigate the deep neural network (DNN) supported acoustic beamforming and dereverberation as the front-end of the x-vector speaker verification (SV) framework in a noisy and reverberant  ...  network models along with the x-vector network within the classical speech enhancement framework brings significant performance gain for robust text-independent (TI) SV.  ...  Furthermore, several studies [5, 7, 10] have shown that the joint optimization of the front-end DNNs involved with the classical beamforming/dereverberation operations and the back-end neural network  ... 
doi:10.21437/interspeech.2019-1356 dblp:conf/interspeech/YangC19a fatcat:i4vcln47c5aqtoy3gs2cd66az4

Supporting virtualization standard for network devices in RTEMS real-time operating system

Jin-Hyun Kim, Sang-Hun Lee, Hyun-Wook Jin
2016 ACM SIGBED Review  
Although hardware emulation overheads for virtualization have been reduced significantly, the network I/O performance in virtual machine is still not satisfactory.  ...  To resolve this issue, we aim to design and implement the device driver of the standardized virtual network device, called virtio, over RTEMS real-time operating system.  ...  The front-end driver also initializes the function pointers of the general network driver layer of RTEMS with the actual network I/O functions implemented by the front-end driver.  ... 
doi:10.1145/2907972.2907977 fatcat:at7llsoggzc5zmy3mxahhdwzay

Actor-Action Semantic Segmentation with Region Masks [article]

Kang Dang, Chunluan Zhou, Zhigang Tu, Michael Hoy, Justin Dauwels, Junsong Yuan
2018 arXiv   pre-print
Our approach uses a two-stream network as the front-end (which learns features capturing both appearance and motion information), and uses two region-based segmentation networks as the back-end (which  ...  In this paper, we study the actor-action semantic segmentation problem, which requires joint labeling of both actor and action categories in video frames.  ...  Our network consists of a front-end module and a back-end module containing two networks of identical structure.  ... 
arXiv:1807.08430v1 fatcat:yqwnno3dpzgmpakcwaxdot7wwa

Interdependency, dynamism, and variety (IDV) network modeling to explain knowledge diffusion at the fuzzy front-end of innovation

Samir Gupta, Elliot Maltz
2015 Journal of Business Research  
The proposed interdependency, dynamism, variety (IDV) model attempts to detail actors' roles in intra-and interfirm knowledge diffusion during the fuzzy front-end of innovation (FFEI).  ...  Using network theory this research explains innovation as an interactional, networked, systemic phenomenon.  ...  Yet, Gassmann and Schweitzer (2014) note that the real benefits of new ideas emerge from the so-called fuzzy front-end of innovation.  ... 
doi:10.1016/j.jbusres.2015.02.018 fatcat:337rpqxomjapldf4wxv7zqlrka

Scalability of the Nutch search engine

José E. Moreira, Maged M. Michael, Dilma Da Silva, Doron Shiloach, Parijat Dube, Li Zhang
2007 Proceedings of the 21st annual international conference on Supercomputing - ICS '07  
We conclude that Nutch is highly scalable, with the different configurations behaving differently from a performance perspective.  ...  In this paper, we analyze the performance and scalability of various configurations of Nutch.  ...  There are two kinds of servers in the network (front-end and back-end) and three kinds of delay components (driver network, front-end network, and back-end network).  ... 
doi:10.1145/1274971.1274975 dblp:conf/ics/MoreiraMSSDZ07 fatcat:seayskmd6zbjfhckifujhu3ddu

Randomly weighted CNNs for (music) audio classification [article]

Jordi Pons, Xavier Serra
2019 arXiv   pre-print
Following this idea, we study how non-trained (randomly weighted) convolutional neural networks perform as feature extractors for (music) audio classification tasks.  ...  The computer vision literature shows that randomly weighted neural networks perform reasonably as feature extractors.  ...  METHOD Our goal is to study which CNN front-ends work best via evaluating how non-trained models perform as feature extractors.  ... 
arXiv:1805.00237v3 fatcat:jtywafx4fffz7cylvu7ceifuca

FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution [article]

Zhanpeng Zhang, Kaipeng Zhang
2020 arXiv   pre-print
On the other hand, for runtime efficiency, state-of-the-art methods will quickly decrease the spatial size of the inputs or feature maps in the early network stages.  ...  It is a lightweight cascaded structure for Convolutional Neural Networks (CNNs) to efficiently leverage context information.  ...  Ablation Study on Network Structure To evaluate the proposed method, firstly we perform ablation study using the following baseline methods: 1) Front-end network with ResNet-18 and back-end network with  ... 
arXiv:2003.03913v1 fatcat:7btnwdtgtrc25pv3bp4kliojfe

A comparative study of multiobjective computational intelligence algorithms to find the solution to the RWA problem in WDM networks

Bryan Montes Castañeda, Jorge Patiño Garzón, Gustavo Puerto Leguizamón
2015 Dyna  
This paper presents a comparative study of multiobjective algorithms to solve the routing and wavelength assignment problem in optical networks.  ...  Each algorithm is assessed based on the performance provided by two different network topologies under different data traffic loads and with a different number of wavelengths available in the network.  ...  Acknowledgement The authors wish to acknowledge the Universidad Distrital Francisco José de Caldas for supporting the development of this paper.  ... 
doi:10.15446/dyna.v82n194.49663 fatcat:bwu4upzchvakhbfbe2sfc64u5m
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