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Understanding Society Innovation Panel Wave 6: results from methodological experiments [PDF]
, 2014 This paper presents some preliminary findings from Wave 6 of the Innovation Panel (IP6) of Understanding Society: The UK Household Longitudinal Study. Understanding Society is a major panel survey in the UK.
Kaminska, O +17 more
core +6 more sources
LWMD: A Comprehensive Compression Platform for End-to-End Automatic Speech Recognition Models
Applied Sciences, 2023 Recently end-to-end (E2E) automatic speech recognition (ASR) models have achieved promising performance. However, existing models tend to adopt increasing model sizes and suffer from expensive resource consumption for real-world applications. To compress
Yukun Liu +3 more
doaj +1 more source
Applying deep matching networks to Chinese medical question answering: a study and a dataset
BMC Medical Informatics and Decision Making, 2019 Background Medical and clinical question answering (QA) is highly concerned by researchers recently. Though there are remarkable advances in this field, the development in Chinese medical domain is relatively backward.
Junqing He, Mingming Fu, Manshu Tu
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Relevancy between Objects Based on Common Sense for Semantic Segmentation
Applied Sciences, 2022 Research on image classification sparked the latest deep-learning boom. Many downstream tasks, including semantic segmentation, benefit from it. The state-of-the-art semantic segmentation models are all based on deep learning, and they sometimes make ...
Jun Zhou, Xing Bai, Qin Zhang
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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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Perfect Thinkers, Perfect Speakers and Internalism about Thought Content [PDF]
Organon F, 2023 In the following paper I propose an argument against internalism about thought content. After a brief preview of the recent debate between Sarah Sawyer and Åsa Wikforss, the paper outlines the central issue in their discussion.
Madelaine Angelova-Elchinova
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Ambiguous figures and the content of experience [PDF]
, 2006 Representationalism is the position that the phenomenal character of an experience is either identical with, or supervenes on, the content of that experience. Many representationalists hold that the relevant content of experience is nonconceptual.
Fiona Macpherson, Macpherson, F.
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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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