咨询与建议

限定检索结果

文献类型

  • 167 篇 会议
  • 124 篇 期刊文献
  • 4 篇 学位论文

馆藏范围

  • 295 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 280 篇 工学
    • 208 篇 计算机科学与技术...
    • 114 篇 电气工程
    • 50 篇 软件工程
    • 37 篇 信息与通信工程
    • 20 篇 控制科学与工程
    • 7 篇 机械工程
    • 7 篇 仪器科学与技术
    • 7 篇 石油与天然气工程
    • 5 篇 土木工程
    • 5 篇 水利工程
    • 5 篇 生物医学工程(可授...
    • 4 篇 环境科学与工程(可...
    • 3 篇 动力工程及工程热...
    • 2 篇 电子科学与技术(可...
    • 2 篇 建筑学
  • 64 篇 理学
    • 47 篇 物理学
    • 8 篇 生物学
    • 4 篇 化学
    • 4 篇 地球物理学
    • 3 篇 数学
    • 2 篇 大气科学
  • 56 篇 医学
    • 52 篇 临床医学
    • 2 篇 基础医学(可授医学...
  • 17 篇 管理学
    • 14 篇 管理科学与工程(可...
    • 2 篇 图书情报与档案管...
  • 4 篇 文学
    • 3 篇 外国语言文学
    • 1 篇 中国语言文学
  • 2 篇 农学
    • 2 篇 作物学
  • 1 篇 经济学
    • 1 篇 理论经济学
  • 1 篇 法学
    • 1 篇 社会学

主题

  • 295 篇 sequence-to-sequ...
  • 41 篇 deep learning
  • 23 篇 transformer
  • 21 篇 speech recogniti...
  • 17 篇 lstm
  • 16 篇 encoder-decoder
  • 16 篇 end-to-end
  • 14 篇 attention mechan...
  • 14 篇 attention
  • 11 篇 neural networks
  • 11 篇 recurrent neural...
  • 10 篇 task analysis
  • 10 篇 long short-term ...
  • 10 篇 speech synthesis
  • 8 篇 voice conversion
  • 8 篇 neural network
  • 8 篇 training
  • 7 篇 automatic sleep ...
  • 7 篇 self-attention
  • 7 篇 natural language...

机构

  • 5 篇 univ chinese aca...
  • 5 篇 chinese acad sci...
  • 5 篇 univ sci & techn...
  • 4 篇 alibaba grp peop...
  • 4 篇 amazon alexa mac...
  • 3 篇 tech univ cluj n...
  • 3 篇 google mountain ...
  • 3 篇 brno univ techno...
  • 3 篇 google inc mount...
  • 3 篇 karlsruhe inst t...
  • 3 篇 univ chinese aca...
  • 3 篇 johns hopkins un...
  • 2 篇 singapore manage...
  • 2 篇 univ southern qu...
  • 2 篇 tsinghua univ de...
  • 2 篇 indiana univ blo...
  • 2 篇 univ augsburg ch...
  • 2 篇 univ sci & techn...
  • 2 篇 univ alberta edm...
  • 2 篇 natl univ singap...

作者

  • 5 篇 mouchtaris athan...
  • 5 篇 xu bo
  • 5 篇 ling zhen-hua
  • 5 篇 prabhavalkar roh...
  • 4 篇 sainath tara n.
  • 4 篇 de vos maarten
  • 4 篇 chen oliver y.
  • 4 篇 radfar martin
  • 4 篇 watanabe shinji
  • 4 篇 dai li-rong
  • 3 篇 bruguier antoine
  • 3 篇 wang jian
  • 3 篇 hayashi tomoki
  • 3 篇 andres-ferrer je...
  • 3 篇 waibel alex
  • 3 篇 mertins alfred
  • 3 篇 rybach david
  • 3 篇 xu shuang
  • 3 篇 zhou shiyu
  • 3 篇 li haizhou

语言

  • 290 篇 英文
  • 4 篇 其他
  • 1 篇 中文
检索条件"主题词=Sequence-to-sequence"
295 条 记 录,以下是1-10 订阅
排序:
A deep sequence-to-sequence model for power swing blocking of distance protection in power transmission lines
收藏 引用
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2025年 139卷
作者: Birgani, Amin Mehdipour Shams, Mohammadreza Jannati, Mohsen Aloghareh, Farhad Hatami Univ Isfahan Dept Elect Engn Shahreza Campus Esfahan Iran Univ Isfahan Dept Comp Engn Shahreza Campus Esfahan Iran
As the primary protection method for transmission lines, distance relays are prone to malfunction during power swings. In fact, the inability of distance relays to differentiate between power swings and short-circuit ... 详细信息
来源: 评论
sequence-to-sequence Acoustic Modeling for Voice Conversion
收藏 引用
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 2019年 第3期27卷 631-644页
作者: Zhang, Jing-Xuan Ling, Zhen-Hua Liu, Li-Juan Jiang, Yuan Dai, Li-Rong Univ Sci & Technol China Natl Engn Lab Speech & Language Informat Proc Hefei 230027 Anhui Peoples R China iFLYTEK Co Ltd Hefei 230088 Anhui Peoples R China
In this paper, a neural network named sequence-to-sequence ConvErsion NeTwork (SCENT) is presented for acoustic modeling in voice conversion. At training stage, a SCENT model is estimated by aligning the feature seque... 详细信息
来源: 评论
sequence-to-sequence Stacked Gate Recurrent Unit Networks for Approximating the Forward Problem of Partial Differential Equations
收藏 引用
IEEE ACCESS 2024年 12卷 61795-61809页
作者: Zhang, Zhaoyang Wang, Qingwang Kunming Univ Sci & Technol Fac Informat Engn & Automat Kunming 650500 Peoples R China
We proposed an optimisation algorithm based on the sequence-to-sequence (Seq2Seq) stacking of the gate recurrent unit (GRU) model to characterise and approximate the forward problem of partial differential equations (... 详细信息
来源: 评论
sequence-to-sequence models for workload interference prediction on batch processing datacenters
收藏 引用
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 2020年 110卷 155-166页
作者: Buchaca, David Marcual, Joan LLuis Berral, Josep Carrera, David BSC C Jordi Girona 1-3 Barcelona 08034 Spain UPC BarcelonaTECH Barcelona Spain
Co-scheduling of jobs in data centers is a challenging scenario where jobs can compete for resources, leading to severe slowdowns or failed executions. Efficient job placement on environments where resources are share... 详细信息
来源: 评论
sequence-to-sequence Speech Recognition with Time-Depth Separable Convolutions  20
Sequence-to-Sequence Speech Recognition with Time-Depth Sepa...
收藏 引用
Interspeech Conference
作者: Hannun, Awni Lee, Ann Xu, Qiantong Collobert, Ronan Facebook AI Res Menlo Pk CA 94025 USA
We propose a fully convolutional sequence-to-sequence encoder architecture with a simple and efficient decoder. Our model improves WER on LibriSpeech while being an order of magnitude more efficient than a strong RNN ... 详细信息
来源: 评论
sequence-to-sequence Models for Extracting Information from Registration and Legal Documents  15th
Sequence-to-Sequence Models for Extracting Information from ...
收藏 引用
15th IAPR International Workshop on Document Analysis Systems (DAS)
作者: Pires, Ramon de Souza, Fabio C. Rosa, Guilherme Lotufo, Roberto A. Nogueira, Rodrigo NeuralMind Inteligencia Artificial Sao Paulo SP Brazil Univ Estadual Campinas Inst Comp Campinas SP Brazil Univ Estadual Campinas Sch Elect & Comp Engn Campinas SP Brazil
A typical information extraction pipeline consists of token- or span-level classification models coupled with a series of pre- and post-processing scripts. In a production pipeline, requirements often change, with cla... 详细信息
来源: 评论
sequence-to-sequence Learning for Deep Gaussian Process Based Speech Synthesis Using Self-Attention GP Layer  22
Sequence-to-Sequence Learning for Deep Gaussian Process Base...
收藏 引用
Interspeech Conference
作者: Nakamura, Taiki Koriyama, Tomoki Saruwatari, Hiroshi Univ Tokyo Grad Sch Informat Sci & Technol Tokyo Japan
This paper presents a speech synthesis method based on deep Gaussian process (DGP) and sequence-to-sequence (Seq2Seq) learning toward high-quality end-to-end speech synthesis. Feed-forward and recurrent models using D... 详细信息
来源: 评论
sequence-to-sequence AUTOMATIC SPEECH RECOGNITION WITH WORD EMBEDDING REGULARIZATION AND FUSED DECODING
SEQUENCE-TO-SEQUENCE AUTOMATIC SPEECH RECOGNITION WITH WORD ...
收藏 引用
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Liu, Alexander H. Sung, Tzu-Wei Chuang, Shun-Po Lee, Hung-yi Lee, Lin-shah Natl Taiwan Univ Coll Elect Engn & Comp Sci Taipei Taiwan Univ Calif San Diego Dept Comp Sci & Engn San Diego CA 92103 USA
In this paper, we investigate the benefit that off-the-shelf word embedding can bring to the sequence-to-sequence (seq-to-seq) automatic speech recognition (ASR). We first introduced the word embedding regularization ... 详细信息
来源: 评论
sequence-to-sequence SINGING SYNTHESIS USING THE FEED-FORWARD TRANSFORMER
SEQUENCE-TO-SEQUENCE SINGING SYNTHESIS USING THE FEED-FORWAR...
收藏 引用
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Blaauw, Merlijn Bonada, Jordi Univ Pompeu Fabra Mus Technol Grp Barcelona Spain
We propose a sequence-to-sequence singing synthesizer, which avoids the need for training data with pre-aligned phonetic and acoustic features. Rather than the more common approach of a content-based attention mechani... 详细信息
来源: 评论
sequence-to-sequence LSTM-based Dynamic System Identification of Piezo-electric Actuators
Sequence-to-sequence LSTM-based Dynamic System Identificatio...
收藏 引用
American Control Conference (ACC)
作者: Yin, Ruocheng Ren, Juan Iowa State Univ Dept Mech Engn Ames IA 50011 USA
During the past few year, recurrent neural network (RNN) has been proposed to model the nonlinear dynamics of various dynamic systems, such as nano positioning systems (e.g, piezo electric actuators (PEAs)). Although ... 详细信息
来源: 评论