Results 21 to 30 of about 1,641,011 (264)
A Two-Stage Approach to Note-Level Transcription of a Specific Piano
Applied Sciences, 2017 This paper presents a two-stage transcription framework for a specific piano, which combines deep learning and spectrogram factorization techniques. In the first stage, two convolutional neural networks (CNNs) are adopted to recognize the notes of the ...
Qi Wang, Ruohua Zhou, Yonghong Yan
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Chinese Dialogue Intention Classification Based on Multi-Model Ensemble
IEEE Access, 2019 In dialogue systems, understanding the user utterances is crucial for providing appropriate responses. A traditional dialogue act classification (DA) task is to classify each user reply into “ACCEPT, REJECT, PROPOSE, and others”.
Manshu Tu, Bing Wang, Xuemin Zhao
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Applied Sciences, 2019 As demonstrated in hybrid connectionist temporal classification (CTC)/Attention architecture, joint training with a CTC objective is very effective to solve the misalignment problem existing in the attention-based end-to-end automatic speech recognition (
Long Wu, Ta Li, Li Wang, Yonghong Yan
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Research on Question Understanding Method Combining Database Structure and Content [PDF]
Jisuanji gongcheng, 2021 Question understanding is an important basis for the model to transform natural language questions into SQL.At present,most of the models using deep learning generate database queries through only the database structure and do not fully understand the ...
YUAN Zhixiang, REN Dongdong, HONG Xudong, SUN Guohua
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Applied Sciences, 2018 Common sound source localization algorithms focus on localizing all the active sources in the environment. While the source identities are generally unknown, retrieving the location of a speaker of interest requires extra effort. This paper addresses the
Ziteng Wang, Junfeng Li, Yonghong Yan
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Polyphonic Piano Transcription with a Note-Based Music Language Model
Applied Sciences, 2018 This paper proposes a note-based music language model (MLM) for improving note-level polyphonic piano transcription. The MLM is based on the recurrent structure, which could model the temporal correlations between notes in music sequences. To combine the
Qi Wang, Ruohua Zhou, Yonghong Yan
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Approaches to Understanding Indigenous Content Production on Wikipedia [PDF]
Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies, 2020 With over 6 million articles and 38 million editors, English Wikipedia is one of the largest peer produced and edited encyclopedias on the Internet. Some attribute this success to the peer production process which allows many to contribute. However, not all articles are created equally, or evolve similarly, in terms of quality and amount of attention ...
Manasvini Sethuraman +2 more
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CCHAN: An End to End Model for Cross Domain Sentiment Classification
IEEE Access, 2019 Cross domain sentiment classification (CDSC) aims to adopt a model trained by a source domain to a target domain. It has received considerable attention in recent years.
Tu Manshu, Zhao Xuemin
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
IEEE Access, 2019 Domain adaptation tasks have raised much attention in recent years, especially, the task of cross-domain sentiment classification (CDSC). Due to the domain discrepancy, a sentiment classifier trained in a source domain often performs less well, when ...
Tu Manshu, Wang Bing
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