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检索条件"主题词=sequence-to-sequence model"
139 条 记 录,以下是111-120 订阅
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Adversarial training and decoding strategies for end-to-end neural conversation models
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COMPUTER SPEECH AND LANGUAGE 2019年 54卷 122-139页
作者: Hori, Takaaki Wang, Wen Koji, Yusuke Hori, Chiori Harsham, Bret Hershey, John R. Mitsubishi Elect Res Labs Cambridge MA 02139 USA Mitsubishi Electr Corp Informat Technol R&D Ctr Kamakura Kanagawa Japan
This paper presents adversarial training and decoding methods for neural conversation models that can generate natural responses given dialog contexts. In our prior work, we built several end-to-end conversation syste... 详细信息
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Document Summarization model Based on General Context in RNN
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JOURNAL OF INFORMATION PROCESSING SYSTEMS 2019年 第6期15卷 1378-1391页
作者: Kim, Heechan Lee, Soowon Soongsil Univ Dept Software Convergence Seoul South Korea Soongsil Univ Sch Software Seoul South Korea
In recent years, automatic document summarization has been widely studied in the field of natural language processing thanks to the remarkable developments made using deep learning models. To decode a word, existing m... 详细信息
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A sequence-to-sequence Deep Learning Architecture Based on Bidirectional GRU for Type Recognition and Time Location of Combined Power Quality Disturbance
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IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2019年 第8期15卷 4481-4493页
作者: Deng, Yaping Wang, Lu Jia, Hao Tong, Xiangqian Li, Feng Xian Univ Technol Dept Elect Engn Xian 710048 Shaanxi Peoples R China Ningxia Elect Power Res Inst Yinchuan 750011 Peoples R China
In this paper, a sequence-to-sequence deep learning architecture based on the bidirectional gated recurrent unit (Bi-GRU) for type recognition and time location of combined power quality disturbance is proposed. Espec... 详细信息
来源: 评论
Deep learning-based household electric energy consumption forecasting
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JOURNAL OF ENGINEERING-JOE 2020年 第13期2020卷 639-642页
作者: Hyeon, Jonghwan Lee, HyeYoung Ko, Bowon Choi, Ho-Jin Korea Adv Inst Sci & Technol Sch Comp Daejeon South Korea
With the advent of various electronic products, the household electric energy consumption is continuously increasing, and therefore it becomes very important to predict the household electric energy consumption accura... 详细信息
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sequence-to-sequence models Can Directly Translate Foreign Speech  18
Sequence-to-Sequence Models Can Directly Translate Foreign S...
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18th Annual Conference of the International-Speech-Communication-Association (INTERSPEECH 2017)
作者: Weiss, Ron J. Chorowski, Jan Jaitly, Navdeep Wu, Yonghui Chen, Zhifeng Google Brain Mountain View CA 94043 USA Nvidia Santa Clara CA USA
We present a recurrent encoder-decoder deep neural network architecture that directly translates speech in one language into text in another. The model does not explicitly transcribe the speech into text in the source... 详细信息
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Parrotron: An End-to-End Speech-to-Speech Conversion model and its Applications to Hearing-Impaired Speech and Speech Separation  20
Parrotron: An End-to-End Speech-to-Speech Conversion Model a...
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Interspeech Conference
作者: Biadsy, Fadi Weiss, Ron J. Moreno, Pedro J. Kanvesky, Dimitri Jia, Ye Google Mountain View CA 94043 USA
We describe Parrotron, an end-to-end-trained speech-to-speech conversion model that maps an input spectrogram directly to another spectrogram, without utilizing any intermediate discrete representation. The network is... 详细信息
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Exaggerated Portrait Caricatures Generation Based On Seq2Seq  9
Exaggerated Portrait Caricatures Generation Based On Seq2Seq
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9th International Conference on Information Science and Technology (ICIST)
作者: Xu, Kun Tang, Chenwei Lv, Jiancheng He, Zhenan Sichuan Univ Coll Comp Sci Chengdu Peoples R China
Exaggerated portrait caricatures can represent peoples explicit facial characteristics. Recently, there have been increasing interests in exaggerated portrait caricatures generation from the real face images. However,... 详细信息
来源: 评论
sequence-to-sequence Imputation of Missing Sensor Data  32nd
Sequence-to-Sequence Imputation of Missing Sensor Data
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32nd Australasian Joint Conference on Artificial Intelligence
作者: Dabrowski, Joel Janek Rahman, Ashfaqur CSIRO Data61 Brisbane Qld Australia CSIRO Data61 Hobart Tas Australia
Although the sequence-to-sequence (encoder-decoder) model is considered the state-of-the-art in deep learning sequence models, there is little research into using this model for recovering missing sensor data. The key... 详细信息
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Robust sequence-to-sequence Acoustic modeling with Stepwise Monotonic Attention for Neural TTS  20
Robust Sequence-to-Sequence Acoustic Modeling with Stepwise ...
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Interspeech Conference
作者: He, Mutian Deng, Yan He, Lei Beihang Univ Sch Comp Sci & Engn Beijing Peoples R China Microsoft Beijing Peoples R China
Neural TTS has demonstrated strong capabilities to generate human-like speech with high quality and naturalness, while its generalization to out-of-domain texts is still a challenging task, with regard to the design o... 详细信息
来源: 评论
Neural Machine Translation for Multilingual Grapheme-to-Phoneme Conversion  20
Neural Machine Translation for Multilingual Grapheme-to-Phon...
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Interspeech Conference
作者: Sokolov, Alex Rohlin, Tracy Rastrow, Ariya Amazoncom Inc Seattle WA 98170 USA
Grapheme-to-phoneme (G2P) models are a key component in Automatic Speech Recognition (ASR) systems, such as the ASR system in Alexa, as they are used to generate pronunciations for out-of-vocabulary words that do not ... 详细信息
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