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Multi-band Synchronization Model for Speech Recognition Under Noisy Condition

Sun Wei,Wu Zhenyang

Strategic Study of CAE 2006, Volume 8, Issue 3,   Pages 31-34

Abstract: paper proposes synchronization multi-band maximum likelihood linear regression algorithm for robust speechrecognition under noisy condition.The tests show that the proposed algorithm improves the performance of recognition system effectively

Keywords： hidden Markov model     maximum likelihood     multi-band synchronization model     speech recognition    

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Speech emotion recognitionwith unsupervised feature learning

Zheng-wei HUANG,Wen-tao XUE,Qi-rong MAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5,   Pages 358-366 doi: 10.1631/FITEE.1400323

Abstract: Emotion-based features are critical for achieving high performance in a speech emotion recognition (SERBoltzmann machines), which have promise for learning task-related features by using unlabeled data, to speechemotion recognition.

Keywords： Speech emotion recognition     Unsupervised feature learning     Neural network     Affect computing    

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A Smart Metasurface for Electromagnetic Manipulation Based on Speech Recognition Article

Lin Bai, Yuan Ke Liu, Liang Xu, Zheng Zhang, Qiang Wang, Wei Xiang Jiang, Cheng-Wei Qiu, Tie Jun Cui

Engineering 2023, Volume 22, Issue 3,   Pages 185-190 doi: 10.1016/j.eng.2022.06.026

Abstract: propose and realize a smart metasurface for programming electromagnetic (EM) manipulations based on human speechrecognition.The smart metasurface platform is composed of a digital coding metasurface, a speech-recognition moduleTogether with the DAC and single-chip computer, the speech-recognition module can recognize voice commands

Keywords： Speech recognition     Programmable metasurface     Genetic algorithm     Smart electromagnetic manipulation    

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Binary neural networks for speech recognition Regular Papers

Yan-min QIAN, Xu XIANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 5,   Pages 701-715 doi: 10.1631/FITEE.1800469

Abstract: deep neural networks (DNNs) significantly outperform Gaussian mixture models in acoustic modeling for speechrecognition.In this work, binary neural networks for speech recognition are developed to reduce the computationalrecognition acoustic modeling.Experiments on the standard Switchboard speech recognition task show that the proposed binary neural

Keywords： Speech recognition     Binary neural networks     Binary matrix multiplication     Knowledge distillation     Population    

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Speech at the Luncheon of International Engineering Technology Conference

Song Jian

Strategic Study of CAE 2000, Volume 2, Issue 10,   Pages 3-4

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A subband excitation substitute based scheme for narrowband speech watermarking Article

Wei LIU, Ai-qun HU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5,   Pages 627-643 doi: 10.1631/FITEE.1601503

Abstract: We propose a new narrowband speech watermarking scheme by replacing part of the speech with a scaledTheoretically, it is proved that if a small amount of host speech is modified, then not only an idealwatermark signal by forcing its power level to be the same as the original passband excitation of the cover speech

Keywords： Analysis filter     Linear prediction     Narrowband speech watermarking     Passband excitation replacement    

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Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 313-316 doi: 10.1007/s11465-006-0026-y

Abstract: It is a very important task to automatically fix the number of die in the image recognition system ofA multiobjective image recognition algorithm based on clustering Genetic Algorithm (GA), is proposedAs a result, time consumed by one image recognition is shortened, the performance of the image recognition

Keywords： clustering     different     recognition algorithm     Algorithm     multiobjective    

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Advances in tissue state recognition in spinal surgery: a review

Hao Qu, Yu Zhao

Frontiers of Medicine 2021, Volume 15, Issue 4,   Pages 575-584 doi: 10.1007/s11684-020-0816-3

Abstract: has become the focus of spinal surgery research so as to strengthen the objectivity of tissue state recognitionThis article reviews the progress of different tissue state recognition methods in spinal surgery and

Keywords： spinal surgery     tissue state recognition     image     force sensing     bioelectrical impedance    

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View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 917-920 doi: 10.1631/FITEE.1500080

Abstract: Human action recognition is currently one of the most active research areas in computer vision.However, some extrinsic factors are barriers for the development of action recognition; e.g., human actionsThus, view-invariant analysis becomes important for action recognition algorithms, and a number of researchersExperiments on three public view-invariant action recognition datasets, i.e., ViHASi, IXMAS, and WVU,proposed algorithm stably outperforms state-of-the-art counterparts and obtains about 6% improvement in recognition

Keywords： View-invariant     Action recognition     Multi-view learning     L1-norm     Local learning    

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Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1430-6

Abstract:

• UV-vis absorption analyzer was applied in drainage type online recognition

Keywords： Drainage online recognition     UV-vis spectra     Derivative spectrum     Convolutional neural network    

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Face recognition based on subset selection via metric learning on manifold

Hong SHAO,Shuang CHEN,Jie-yi ZHAO,Wen-cheng CUI,Tian-shu YU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12,   Pages 1046-1058 doi: 10.1631/FITEE.1500085

Abstract: With the development of face recognition using sparse representation based classification (SRC), many

Keywords： Face recognition     Sparse representation     Manifold structure     Metric learning     Subset selection    

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Efficient decoding self-attention for end-to-end speech synthesis Research Article

Wei ZHAO, Li XU

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7,   Pages 1127-1138 doi: 10.1631/FITEE.2100501

Abstract: has been innovatively applied to text-to-speech (TTS) because of its parallel structure and superior

Keywords： Efficient decoding     End-to-end     Self-attention     Speech synthesis    

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Named entity recognition for Chinese construction documents based on conditional random field

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 237-249 doi: 10.1007/s42524-021-0179-8

Abstract: Named entity recognition (NER) is essential in many natural language processing (NLP) tasks such as informationtransformation features and seven classes of state features, covering the impacts of word position, part-of-speech

Keywords： NER     NLP     Chinese language     construction document    

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Visual chiral recognition of 1,1′-binaphthol through enantioselective collapse of gel based on an amphiphilic

Xuhong Zhang, Haimiao Li, Xin Zhang, Meng An, Weiwei Fang, Haitao Yu

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 2,   Pages 231-237 doi: 10.1007/s11705-017-1633-3

Abstract: The resulting gel can be applied as a fascinating platform for visual recognition of enantiomeric 1-(

Keywords： gelator     Schiff base     chiral recognition     gel formation     gel collapse    

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Title Author Date Type Operation

Multi-band Synchronization Model for Speech Recognition Under Noisy Condition

Sun Wei,Wu Zhenyang

Journal Article

Speech emotion recognitionwith unsupervised feature learning

Zheng-wei HUANG,Wen-tao XUE,Qi-rong MAO

Journal Article

A Smart Metasurface for Electromagnetic Manipulation Based on Speech Recognition

Lin Bai, Yuan Ke Liu, Liang Xu, Zheng Zhang, Qiang Wang, Wei Xiang Jiang, Cheng-Wei Qiu, Tie Jun Cui

Journal Article

Binary neural networks for speech recognition

Yan-min QIAN, Xu XIANG

Journal Article

Speech at the Luncheon of International Engineering Technology Conference

Song Jian

Journal Article

A subband excitation substitute based scheme for narrowband speech watermarking

Wei LIU, Ai-qun HU

Journal Article

Speech at the Closing Ceremony of The Sixth Academician Conference of Chinese Academy of Engineering

徐匡迪

Journal Article

Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Journal Article

Advances in tissue state recognition in spinal surgery: a review

Hao Qu, Yu Zhao

Journal Article

View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

Journal Article

Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm

Journal Article

Face recognition based on subset selection via metric learning on manifold

Hong SHAO,Shuang CHEN,Jie-yi ZHAO,Wen-cheng CUI,Tian-shu YU

Journal Article

Efficient decoding self-attention for end-to-end speech synthesis

Wei ZHAO, Li XU

Journal Article

Named entity recognition for Chinese construction documents based on conditional random field

Journal Article

Visual chiral recognition of 1,1′-binaphthol through enantioselective collapse of gel based on an amphiphilic

Xuhong Zhang, Haimiao Li, Xin Zhang, Meng An, Weiwei Fang, Haitao Yu

Journal Article