These models use two types of representations as part of DNN input features: static word embeddings (from word2vec ) and dynamic contextual embeddings (from BERT ). Semantic information is computed thanks to these representations and used in the hypothesis pair comparison mode. We perform ...
甚至,就某种评测指标而言,最热推荐(most popular )是最好的方法。 2.RESEARCH METHOD 2.1 Collecting Reproducible Papers 范围:2015 and 2018 in the following four conference series: KDD, SIGIR, TheWebConf (WWW), and RecSys. 类型:(a) proposed a deep learning based technique and (b) focused on th...
T-Miner不需要访问可疑分类器的训练数据集或干净输入,而是使用合成的“无意义”文本输入来训练生成模型。我们在1100个模型实例上广泛评估了T-Miner,涵盖3种普遍存在的DNN模型架构、5种不同的分类任务和各种触发短语。我们表明,T-Miner以98.75%的总体准确率检测特洛伊木马和干净模型,同时在干净模型上实现了低误报。我们...
Scheduling Overview:[Ref] Nexus: A GPU Cluster Engine for Accelerating DNN-Based Video Analysis1. Abstract Nexus 的目标是,在 GPU 集群中,以低处理时延、考虑混布的DNN 服务调度,实现高GPU 利用率。性能方面,Nexus 在 99% 时间内满足 QoS 需求的条件下,能够处理 1.8 ~ 12.7 倍于其他系统的访问频率;长时...
Advances in location-acquisition and wireless communication technologies have led to wider availability of spatio-temporal (ST) data, which has unique spatial properties (i.e. geographical hierarchy and distance) and temporal properties (i.e. closeness, period and trend). In this paper, we propose...
论文地址:https://www.researchgate.net/publication/354186200_DNN-based_residual_echo_suppression 基于DNN的残余回声抑制 回到顶部 摘要 由于功率放大器或扬声器的限制,即使在回声路径完全线性的情况下,麦克风捕获的回声信号与远端信号也不是线性关系。线性回声消除器无法成功地消除回声的非线性分量。RES是在AES后对剩余...
DNN-based closed-loop systems have gained popularity in these applications due to their robust performance and ability to adapt to diverse conditions. Despite their effectiveness, current DNN-based closed-loop systems often suffer from sound quality degradation caused by artifacts introduced by suboptimal...
An investigation of augmenting speaker representations to improve speaker normalisation for DNN-based speech recognition The conventional short-term interval features used by the Deep Neural Networks (DNNs) lack the ability to learn longer term information. This poses a chall... H Huang,KC Sim - IE...
上司，评委对深度学习性能不切实际的幻想所以也就不奇怪会有这么多根本不work，不能复现的的DNN-based...
论文地址:基于DNN的语音带宽扩展和添加高频缺失特征窄带语音 论文代码:github 博客作者:凌逆战 博客地址:https://www.cnblogs.com/LXP-Never/p/12361112.html 摘要 我们提出了一些增强技术来提高从窄带到宽带扩频(BWE)中的语音质量,解决了三个在