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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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UsingKinect for real-time emotion recognition via facial expressions

Qi-rong MAO,Xin-yu PAN,Yong-zhao ZHAN,Xiang-jun SHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 4,   Pages 272-282 doi: 10.1631/FITEE.1400209

Abstract: Emotion recognition via facial expressions (ERFE) has attracted a great deal of interest with recentadvances in artificial intelligence and pattern recognition.In this paper, we propose a real-time emotion recognition approach based on both 2D and 3D facial expressionExperiments on both an emotion dataset and a real-time video show the superior performance of our method

Keywords： Kinect     Emotion recognition     Facial expression     Real-time classification     Fusion algorithm     Support vector    

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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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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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Using psychophysiologicalmeasures to recognize personalmusic emotional experience Research Articles

Le-kai ZHANG, Shou-qian SUN, Bai-xi XING, Rui-ming LUO, Ke-jun ZHANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7,   Pages 964-974 doi: 10.1631/FITEE.1800101

Abstract:

Music can trigger human emotion. This is a psychophysiological process.In this study, we explore a new method of personal music emotion recognition based on human physiological

Keywords： Music     Emotion recognition     Physiological signals     Wavelet transform    

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A personality-guided affective brain–computer interface for implementation of emotional intelligence in machines Research Article

Shaojie LI, Wei LI, Zejian XING, Wenjie YUAN, Xiangyu WEI, Xiaowei ZHANG, Bin HU,zhangxw@lzu.edu.cn,bh@lzu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 8,   Pages 1158-1173 doi: 10.1631/FITEE.2100489

Abstract: Affective brain–computer interfaces have become an increasingly important topic to achieve emotional intelligence in human–machine collaboration. However, due to the complexity of signals and the individual differences in emotional response, it is still a great challenge to design a reliable and effective model. Considering the influence of on emotional response, it would be helpful to integrate personality information and EEG signals for . This study proposes a personality-guided attention neural network that can use personality information to learn effective EEG representations for . Specifically, we first use a convolutional neural network to extract rich temporal and regional representations of EEG signals, and a special convolution kernel is designed to learn inter- and intra-regional correlations simultaneously. Second, inspired by the fact that electrodes within distinct brain scalp regions play different roles in , a personality-guided regional- is proposed to further explore the contributions of electrodes within a region and between regions. Finally, attention-based long short-term memory is designed to explore the temporal dynamics of EEG signals. Experiments on the AMIGOS dataset, which is a dataset for multimodal research for affect, , and mood on individuals and groups, show that the proposed method can significantly improve the performance of subject-independent and outperform state-of-the-art methods.

Keywords： Electroencephalogram (EEG)     Emotion recognition     Attention mechanism     Personality traits    

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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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Review of sentiment analysis: An emotional product development view

Frontiers of Engineering Management   Pages 592-609 doi: 10.1007/s42524-022-0227-z

Abstract: Furthermore, after conceptualizing emotion as Kansei and introducing emotional product development and

Keywords： sentiment analysis     emotion     product development     Kansei Engineering    

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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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Title Author Date Type Operation

Speech emotion recognitionwith unsupervised feature learning

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

Journal Article

UsingKinect for real-time emotion recognition via facial expressions

Qi-rong MAO,Xin-yu PAN,Yong-zhao ZHAN,Xiang-jun SHEN

Journal Article

Multi-band Synchronization Model for Speech Recognition Under Noisy Condition

Sun Wei,Wu Zhenyang

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

Using psychophysiologicalmeasures to recognize personalmusic emotional experience

Le-kai ZHANG, Shou-qian SUN, Bai-xi XING, Rui-ming LUO, Ke-jun ZHANG

Journal Article

A personality-guided affective brain–computer interface for implementation of emotional intelligence in machines

Shaojie LI, Wei LI, Zejian XING, Wenjie YUAN, Xiangyu WEI, Xiaowei ZHANG, Bin HU,zhangxw@lzu.edu.cn,bh@lzu.edu.cn

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

Review of sentiment analysis: An emotional product development view

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