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Towards human-like and transhuman perception in AI 2.0:a review 被引量:3
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作者 Yong-hong TIAN Xi-lin CHEN +9 位作者 Hong-kai XIONG Hong-liang LI Li-rong DAI Jing CHEN Jun-liang XING xi-hong wu Wei-min HU Yu HU Tie-jun HUANG Wen GAO 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2017年第1期58-67,共10页
Perception is the interaction interface between an intelligent system and the real world. Without sophisticated and flexible perceptual capabilities, it is impossible to create advanced artificial intelligence (AI) ... Perception is the interaction interface between an intelligent system and the real world. Without sophisticated and flexible perceptual capabilities, it is impossible to create advanced artificial intelligence (AI) systems. For the next-generation AI, called 'AI 2.0', one of the most significant features will be that AI is empowered with intelligent perceptual capabilities, which can simulate human brain's mechanisms and are likely to surpass human brain in terms of performance. In this paper, we briefly review the state-of-the-art advances across different areas of perception, including visual perception, auditory perception, speech perception, and perceptual information processing and learning engines. On this basis, we envision several R&D trends in intelligent perception for the forthcoming era of AI 2.0, including: (1) human-like and transhuman active vision; (2) auditory perception and computation in an actual auditory setting; (3) speech perception and computation in a natural interaction setting; (4) autonomous learning of perceptual information; (5) large-scale perceptual information processing and learning platforms; and (6) urban omnidirectional intelligent perception and reasoning engines. We believe these research directions should be highlighted in the future plans for AI 2.0. 展开更多
关键词 Intelligent perception Active vision Auditory perception Speech perception Autonomous learning
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Interaction between auditory and motor systems in speech perception 被引量:2
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作者 Zhe-Meng wu Ming-Li Chen +1 位作者 xi-hong wu Liang Li 《Neuroscience Bulletin》 SCIE CAS CSCD 2014年第3期490-496,共7页
Based on the Motor Theory of speech perception, the interaction between the auditory and motor systems plays an essential role in speech perception. Since the Motor Theory was proposed, it has received remarkable atte... Based on the Motor Theory of speech perception, the interaction between the auditory and motor systems plays an essential role in speech perception. Since the Motor Theory was proposed, it has received remarkable attention in the field. However, each of the three hypotheses of the theory still needs further verification. In this review, we focus on how the auditory-motor anatomical and functional associations play a role in speech perception and discuss why previous studies could not reach an agreement and particularly whether the motor system involvement in speech perception is task-load dependent. Finally, we suggest that the function of the auditory-motor link is particularly useful for speech perception under adverse listening conditions and the further revised Motor Theory is a potential solution to the "cocktail-party" problem. 展开更多
关键词 auditory-motor interaction Motor Theory of speech perception motor cortex "cocktail-party" problem.
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