Zobrazeno 1 - 10
of 210
pro vyhledávání: '"Wang, HaoXu"'
Edge intelligence enables resource-demanding Deep Neural Network (DNN) inference without transferring original data, addressing concerns about data privacy in consumer Internet of Things (IoT) devices. For privacy-sensitive applications, deploying mo
Externí odkaz:
http://arxiv.org/abs/2403.12568
Autor:
Wang, Haoxu
Claude Sabbah has defined the Fourier transform $G$ of the Gauss-Manin system for a non-degenerate and convenient Laurent polynomial and has shown that there exists a polarized mixed Hodge structure on the vanishing cycle of $G$. In this article, we
Externí odkaz:
http://arxiv.org/abs/2403.02105
In recent years, neural network-based Wake Word Spotting achieves good performance on clean audio samples but struggles in noisy environments. Audio-Visual Wake Word Spotting (AVWWS) receives lots of attention because visual lip movement information
Externí odkaz:
http://arxiv.org/abs/2403.01700
The growing prevalence of online conferences and courses presents a new challenge in improving automatic speech recognition (ASR) with enriched textual information from video slides. In contrast to rare phrase lists, the slides within videos are sync
Externí odkaz:
http://arxiv.org/abs/2401.06390
Recently audio-visual speech recognition (AVSR), which better leverages video modality as additional information to extend automatic speech recognition (ASR), has shown promising results in complex acoustic environments. However, there is still subst
Externí odkaz:
http://arxiv.org/abs/2312.08850
Multi-Modal automatic speech recognition (ASR) techniques aim to leverage additional modalities to improve the performance of speech recognition systems. While existing approaches primarily focus on video or contextual information, the utilization of
Externí odkaz:
http://arxiv.org/abs/2309.05396
This paper further explores our previous wake word spotting system ranked 2-nd in Track 1 of the MISP Challenge 2021. First, we investigate a robust unimodal approach based on 3D and 2D convolution and adopt the simple attention module (SimAM) for ou
Externí odkaz:
http://arxiv.org/abs/2303.02348
Publikováno v:
In Journal of Cleaner Production 25 August 2024 468
Autor:
Guo, Zizhan, Lu, Zhaoqing, Peng, Guoqiang, Zhang, Jingru, Hua, Li, Jia, Fengfeng, Dong, Jiayue, Li, Qijun, Wang, Haoxu, Jin, Zhiwen
Publikováno v:
In Composites Science and Technology 18 August 2024 255