Zobrazeno 1 - 10
of 1 531
pro vyhledávání: '"Lu Heng"'
Publikováno v:
陆军军医大学学报, Vol 46, Iss 9, Pp 1007-1014 (2024)
Objective To observe the effect of different concentrations of glutamine (Gln) on the radiosensitivity of colorectal cancer HT-29 cells and explore the possible mechanism. Methods According to different Gln concentrations, HT-29 cells at logarithmica
Externí odkaz:
https://doaj.org/article/a8c7ec76e45d44cf9a0cdab30644e83d
Publikováno v:
陆军军医大学学报, Vol 45, Iss 15, Pp 1604-1611 (2023)
Objective To observe the effect of equol (Eq) intervention on palmitic acid (PA)-induced myoblast atrophy in rat myoblast cell line L6 and to explore its underlying mechanism. Methods L6 cells were divided into control group, model group (0.25 mmol/L
Externí odkaz:
https://doaj.org/article/3622f4b801c94648a95e5097ec5c2bc8
Publikováno v:
应用气象学报, Vol 33, Iss 3, Pp 282-292 (2022)
To address the practical needs of objectively describing the uncertainty of rainfall-based landslides and the existing problems of single warning indicators and subjective forecasting methods in the meteorological disaster early warning business, lan
Externí odkaz:
https://doaj.org/article/fac559d3269e4a64a8301fd0d75b6624
Recent advancements in latent diffusion models (LDMs) have markedly enhanced text-to-audio generation, yet their iterative sampling processes impose substantial computational demands, limiting practical deployment. While recent methods utilizing cons
Externí odkaz:
http://arxiv.org/abs/2410.12266
Autor:
Zhang, Xin, Lyu, Xiang, Du, Zhihao, Chen, Qian, Zhang, Dong, Hu, Hangrui, Tan, Chaohong, Zhao, Tianyu, Wang, Yuxuan, Zhang, Bin, Lu, Heng, Zhou, Yaqian, Qiu, Xipeng
Current methods of building LLMs with voice interaction capabilities rely heavily on explicit text autoregressive generation before or during speech response generation to maintain content quality, which unfortunately brings computational overhead an
Externí odkaz:
http://arxiv.org/abs/2410.08035
Autor:
Ma, Lei, Yan, Ziyun, Li, Mengmeng, Liu, Tao, Tan, Liqin, Wang, Xuan, He, Weiqiang, Wang, Ruikun, He, Guangjun, Lu, Heng, Blaschke, Thomas
Deep learning has gained significant attention in remote sensing, especially in pixel- or patch-level applications. Despite initial attempts to integrate deep learning into object-based image analysis (OBIA), its full potential remains largely unexpl
Externí odkaz:
http://arxiv.org/abs/2408.01607
Autor:
Du, Zhihao, Chen, Qian, Zhang, Shiliang, Hu, Kai, Lu, Heng, Yang, Yexin, Hu, Hangrui, Zheng, Siqi, Gu, Yue, Ma, Ziyang, Gao, Zhifu, Yan, Zhijie
Recent years have witnessed a trend that large language model (LLM) based text-to-speech (TTS) emerges into the mainstream due to their high naturalness and zero-shot capacity. In this paradigm, speech signals are discretized into token sequences, wh
Externí odkaz:
http://arxiv.org/abs/2407.05407
Deep reinforcement learning (DRL) has achieved remarkable success across various domains, such as video games, robotics, and, recently, large language models. However, the computational costs and memory requirements of DRL models often limit their de
Externí odkaz:
http://arxiv.org/abs/2407.04803
Autor:
An, Keyu, Chen, Qian, Deng, Chong, Du, Zhihao, Gao, Changfeng, Gao, Zhifu, Gu, Yue, He, Ting, Hu, Hangrui, Hu, Kai, Ji, Shengpeng, Li, Yabin, Li, Zerui, Lu, Heng, Luo, Haoneng, Lv, Xiang, Ma, Bin, Ma, Ziyang, Ni, Chongjia, Song, Changhe, Shi, Jiaqi, Shi, Xian, Wang, Hao, Wang, Wen, Wang, Yuxuan, Xiao, Zhangyu, Yan, Zhijie, Yang, Yexin, Zhang, Bin, Zhang, Qinglin, Zhang, Shiliang, Zhao, Nan, Zheng, Siqi
This report introduces FunAudioLLM, a model family designed to enhance natural voice interactions between humans and large language models (LLMs). At its core are two innovative models: SenseVoice, which handles multilingual speech recognition, emoti
Externí odkaz:
http://arxiv.org/abs/2407.04051
The continuous evolution of pre-trained speech models has greatly advanced Speech Emotion Recognition (SER). However, current research typically relies on utterance-level emotion labels, inadequately capturing the complexity of emotions within a sing
Externí odkaz:
http://arxiv.org/abs/2405.02151