Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Sun, Jiayao"'
Advancements in deep learning and voice-activated technologies have driven the development of human-vehicle interaction. Distributed microphone arrays are widely used in in-car scenarios because they can accurately capture the voices of passengers fr
Externí odkaz:
http://arxiv.org/abs/2409.08610
Autor:
Han, Runduo, Yan, Xiaopeng, Xu, Weiming, Guo, Pengcheng, Sun, Jiayao, Wang, He, Lu, Quan, Jiang, Ning, Xie, Lei
This paper describes our audio-quality-based multi-strategy approach for the audio-visual target speaker extraction (AVTSE) task in the Multi-modal Information based Speech Processing (MISP) 2023 Challenge. Specifically, our approach adopts different
Externí odkaz:
http://arxiv.org/abs/2401.03697
Packet loss is a common and unavoidable problem in voice over internet phone (VoIP) systems. To deal with the problem, we propose a band-split packet loss concealment network (BS-PLCNet). Specifically, we split the full-band signal into wide-band (0-
Externí odkaz:
http://arxiv.org/abs/2401.03687
Autor:
Wang, He, Guo, Pengcheng, Li, Yue, Zhang, Ao, Sun, Jiayao, Xie, Lei, Chen, Wei, Zhou, Pan, Bu, Hui, Xu, Xin, Zhang, Binbin, Chen, Zhuo, Wu, Jian, Wang, Longbiao, Chng, Eng Siong, Li, Sun
To promote speech processing and recognition research in driving scenarios, we build on the success of the Intelligent Cockpit Speech Recognition Challenge (ICSRC) held at ISCSLP 2022 and launch the ICASSP 2024 In-Car Multi-Channel Automatic Speech R
Externí odkaz:
http://arxiv.org/abs/2401.03473
Deep learning based techniques have been popularly adopted in acoustic echo cancellation (AEC). Utilization of speaker representation has extended the frontier of AEC, thus attracting many researchers' interest in personalized acoustic echo cancellat
Externí odkaz:
http://arxiv.org/abs/2310.04715
This paper introduces the SWANT team entry to the ICASSP 2023 AEC Challenge. We submit a system that cascades a linear filter with a neural post-filter. Particularly, we adopt sub-band processing to handle full-band signals and shape the network with
Externí odkaz:
http://arxiv.org/abs/2303.06404
This paper introduces the NWPU Team's entry to the ICASSP 2022 AEC Challenge. We take a hybrid approach that cascades a linear AEC with a neural post-filter. The former is used to deal with the linear echo components while the latter suppresses the r
Externí odkaz:
http://arxiv.org/abs/2202.06850
Autor:
Tian, Ruihuan, Wang, Huiyan, Wu, Guo, Sun, Jiayao, Miao, Zhizhang, Ding, Jun, Chang, Yaqing, Zhao, Chong
Publikováno v:
In Aquaculture 15 January 2025 594
Autor:
Lv, Shubo, Fu, Yihui, Xing, Mengtao, Sun, Jiayao, Xie, Lei, Huang, Jun, Wang, Yannan, Yu, Tao
In speech enhancement, complex neural network has shown promising performance due to their effectiveness in processing complex-valued spectrum. Most of the recent speech enhancement approaches mainly focus on wide-band signal with a sampling rate of
Externí odkaz:
http://arxiv.org/abs/2111.08387
Eye movements have been widely investigated to study the atypical visual attention in Autism Spectrum Disorder (ASD). The majority of these studies have been focused on limited eye movement features by statistical comparisons between ASD and Typicall
Externí odkaz:
http://arxiv.org/abs/1911.11393