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2016 2nd Workshop on Advanced Research and technology in Industry Applications(WARTIA 2016)

作者： Hua Zhang Wei Jiang Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture

The research tries to study humans' responses to superimposed costimulatory *** information,including music,natural images,may be perceived through sound and visual *** procedure is interested in the superposition state of superimposed vibrations,whereby two or more signals are perceived simultaneously,producing a perceptual impression that is considerably different than of each signal alone,owing to the interactions between perceived stimulus vibrations that induce a coordinated percept of a vibrational *** show that these temporal attributes and statistics are strongly *** the same time,we reveal that this kind of superposition response is closely related to human's psychological mechanism.

关键词： Audio-visual Superposition Response Emotion Fusion

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Research on Named Entity Recognition for Oral History Text

Research on Named Entity Recognition for Oral History Text

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2024 International Conference on culture-Oriented Science and technology, CoST 2024

作者： Hu, Chaoyu Bai, Shilei Zhang, Mengfei Communication University of China School of Information and Communication Engineering Beijing China Beijing Key Laboratory of Modern Entertainment Technology Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture Beijing China

ISBN: (纸本)9798350380347

Oral history involves conveying experienced events through spoken narratives, typically preserved and later studied by converting spoken language into text. Named entity recognition (NER) is the recognition of meaningful named entities in text, such as person names, locations, organizations, etc. Conducting NER research on oral history text is significant as it not only facilitates the verification of named entities by researchers but also allows for the extraction of key information from texts through named entities. By collecting oral history corpus, we establish an oral history text dataset, manually annotating all texts with six entity labels and repeatedly verifying them manually. Utilizing the concept of machine reading comprehension (MRC), a semantic fusion module was added, integrating label information into text information using a cross-attention mechanism, and decoding the corresponding entity labels through span decoding. The final model performs well on the oral history text dataset and also showed good performance on general Chinese datasets. © 2024 IEEE.

关键词： Decoding

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Research on visual Cognitive Model Modeling based on Design Psychology

Research on Visual Cognitive Model Modeling based on Design ...

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2022 International Conference on culture-Oriented Science and technology, CoST 2022

作者： Hua, Tianyu Wang, Shuang Liu, Jingyu Jiang, Jian State Key Laboratory of Media Convergence and Communication Communication University of China China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism China China China Digital Culture Group Co. Ltd China

ISBN: (数字)9781665462488

ISBN: (纸本)9781665462488

This article is based on the theoretical achievements of design psychology, takes graphic poster design as the research object, and combines experimental psychology methods with information processing technology to construct a visual cognitive model that can serve art design. This article firstly starts from the laws of formal beauty in design psychology, and screens the formal beauty features of posters. Secondly, a subjective evaluation experiment for the formal beauty characteristics of the poster materials was conducted, and correlation analysis and factor analysis on the processed experimental data were completed. Finally, this article uses a variety of machine learning algorithms to construct a visual cognitive prediction model. This article summarizes seven low-level and four high-level feature descriptors of the beauty of poster form, and constructs a prediction model from low-level features to high-level features. In addition, this article also quantifies the 'Balance' feature which has the highest word frequency in the low-level features, realizing the calculation of the balance degree of the poster image. © 2022 IEEE.

关键词： Machine learning

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Broadband Constant Directivity control of Line Array Loudspeakers

Broadband Constant Directivity Control of Line Array Loudspe...

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2022 International Conference on culture-Oriented Science and technology, CoST 2022

作者： Li, Zhen Chen, Yuqing Ren, Hui Li, Kaiyue State Key Laboratory of Media Convergence of Commmunication Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China Beijing China Communication University of China Beijing China

ISBN: (数字)9781665462488

ISBN: (纸本)9781665462488

In fact, the constant directivity characteristic of line array loudspeaker cannot cover all frequency. In order to expand the entire working frequency band of the constant directivity of the line array loudspeaker as much as possible, that is, to obtain a lower cut-off frequency and reduce the high frequency aliasing phenomenon, this paper proposes a frequency division shading algorithm based on the acoustic waveguide linear delay constant beamwidth transducer(CBT) array. After simulation in matlab, the sound field of traditional shading algorithm and frequency division shading algorithm is compared, it is effectively verified that the algorithm has a wider working frequency band than the traditional shading algorithm. In particular, the frequency division shading algorithm effectively reduces high-frequency aliasing phenomenon, which is difficult to overcome in traditional shading algorithms. © 2022 IEEE.

关键词： Loudspeakers

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Research on Mural Restoration Method Based on Generative Multi-column Transformer 5

Research on Mural Restoration Method Based on Generative Mul...

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5th IEEE Advanced Information Management, Communicates, Electronic and Automation control Conference, IMCEC 2022

作者： Ren, Hui Zhao, Fanhua Li, Zhen Sun, Ke Gao, Shilin State Key Laboratory of Media Convergence and Communication Communication University of China China Ministry of Culture and Tourism Key Laboratory of Acoustic Visual Technology and Intelligent Control System China China Center for Ethnic and Folk Literature and Art Development Ministry of Culture and Tourism Beijing China

ISBN: (纸本)9781665479677

Ancient mural are splendid artistic treasures of ancient civilizations, but their blurring and destruction are becoming more and more serious due to the effects of time and environment. In this paper, a Generative Multi-column Transformer method is proposed to recover the missing areas of mural. The method synthesizes different image components in a parallel manner by transformer and enhances local details by employing implicit diversified Markov random fields regularization. Generative Multi-column Transformer is used in combination with reconstruction and Markov random field loss methods to propagate local and global information from the background to the target defaced region to reconstruct the loss in that part. The experimental results show that the method based on Generative Multi-column Transformer adopted in this paper is able to restore mural images with complex textures and missing areas very well, while the peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) of the method are improved, this paper provides theoretical guidance for the digital restoration of murals. © 2022 IEEE.

关键词： Restoration

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Perceptual Attribute Analysis of Objective acoustic Parameters of Musical Instrument Timbre

Perceptual Attribute Analysis of Objective Acoustic Paramete...

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2021 International Conference on culture-Oriented Science and technology, ICCST 2021

作者： Liu, Jingyu Chen, Yuqu Ran, Can Huang, Yongzhan Jiang, Wei Ministry of Culture and Tourism Communication University of China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Beijing China Communication University of China School of Information and Communication Engineering Beijing China

ISBN: (纸本)9781665442541

The timbre attributes are affected by multiple factors such as the time domain, frequency domain, time-frequency domain, and harmonic structure of the sound signal, and there is a certain degree of correlation and redundancy among the objective acoustic parameters. Analyzing the perception of the objective acoustic parameters of the timbre Attributes is of great significance to the study of timbre perception. In order to achieve the above goals, this paper constructs a timbre database of Chinese and Western musical monophonic instruments, and extracts 45 timbre objective acoustic parameters based on this database. through factor analysis of these acoustic parameters, it shows that the Information of 45 timbre objective acoustic parameters can be condensed into 6 factors, and each factor has a clear timbre perception attribute. Based on this result, we use the multi-dimensional scale analysis method to verify the six factors, and the verification results are basically consistent with the factor analysis results. The 6 factors constructed can explain the time-frequency domain distribution, structure and energy distribution of acoustic parameters, and provide a theoretical basis for constructing an interpretable model based on audio objective acoustic parameters. © 2021 IEEE.

关键词： Multivariant analysis

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EMG-based Interactive control Scheme for Stage Lighting

EMG-based Interactive Control Scheme for Stage Lighting

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2022 International Conference on culture-Oriented Science and technology, CoST 2022

作者： Wang, Huiqin Li, Jiajun Ministry of Culture and Tourism Key Laboratory of Acoustic Visual Technology and Intelligent Contral System Beijing China Communication Univerity of China School of Information and Communication Engineering Beijing China

ISBN: (数字)9781665462488

ISBN: (纸本)9781665462488

Aiming at improving the low interactivity of conventional stage lighting control, a gesture-based interactive control scheme for stage lighting is proposed in this paper, which uses electromyogram (EMG) signals to recognize the performers' gestures and converts them into control signals to transform the stage lighting effects subsequently. Gesture recognition, it involves the acquisition, preprocessing, feature extraction, and classification of the EMG signal. Considering the real-time performance and accuracy among the common algorithms such as support vector machine (SVM), k-nearest neighbor (KNN), linear discriminant analysis (LDA), backpropagation (BP) neural network, KNN is adopted as the classification tool. The lighting effect between gestures and stage lights is designed and realized to ensure that stage lighting interactively transforms with gesture changes. The experiment results show the feasibility and convenience of the proposed control scheme. © 2022 IEEE.

关键词： Support vector machines

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Lighting control with Myo armband based on customized classifier

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The Journal of China Universities of Posts and Telecommunications 2022年第4期29卷 106-116页

作者： Jiang Yujian Yang Xue Zhang Junming Song Yang Key Laboratory of Acoustic Visual Technology and Intelligent Control System Communication University of ChinaBeijing 100024China Beijing Key Laboratory of Modern Entertainment Technology Communication University of ChinaBeijing 100024China School of Information and Communication Engineering Communication University of ChinaBeijing 100024China

This paper focuses on gesture recognition and interactive lighting *** collection of gesture data adopts the Myo armband to obtain surface electromyography(sEMG).Considering that many factors affect sEMG,a customized classifier based on user calibration data is used for gesture *** this paper,machine learning classifiers k-nearest neighbor(KNN),support vector machines(SVM),and naive Bayesian(NB)classifier,which can be used in small sample sets,are selected to classify four gesture *** performance of the three classifiers under different training parameters,different input features,including root mean square(RMS),mean absolute value(MAV),waveform length(WL),slope sign change(SSC)number,zero crossing(ZC)number,and variance(VAR)are tested,and different input channels are also *** results show that:The NB classifier,which assumes that the prior probability of features is polynomial distribution,has the best performance,reaching more than 95%***,an interactive stage lighting control system based on Myo armband gesture recognition is implemented.

关键词： Myo armband gesture recognition surface electromyography customized classifier lighting control

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Source Separation of Piano Concertos Using Hybrid LSTM-Transformer Model

Source Separation of Piano Concertos Using Hybrid LSTM-Trans...

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2024 International Conference on culture-Oriented Science and technology, CoST 2024

作者： Liu, JingYu He, Wei Zhou, Jingjing Jiang, Wei State Key Laboratory of Media Convergence and Communication Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China School of Information and Communication Engineering Communication University of China Beijing China

ISBN: (纸本)9798350380347

Music source separation, the process of extracting independent audio streams from a complex mix, has traditionally focused on isolating vocals, drums, bass, and other primary sources. This study tackles the more intricate task of separating the piano component from a piano concerto-a challenge compounded by the diverse range of instruments and the dynamic shifts in volume and timbre. Unlike traditional music separation tasks, the piano's distinct characteristics and its interaction with the orchestra demand a more nuanced *** address the scarcity of multi-track recordings for piano concertos, this research pioneers an artificial data synthesis strategy to create a robust training dataset. We introduce a novel hybrid deep learning model that integrates Long Short-Term Memory (LSTM) networks with Transformer architecture, capitalizing on their complementary strengths to distinguish piano melodies from the rich tapestry of orchestral sounds. Our experiments demonstrate that this hybrid approach significantly outperforms conventional methods, with an improvement of 3.18 dB in signal-to-distortion ratio. These results not only validate the efficacy of proposed method but also pave the way for innovative applications in classical music source separation. © 2024 IEEE.

关键词： Source separation

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Research on Timbre Evaluation Method for Oral Literature

Research on Timbre Evaluation Method for Oral Literature

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2023 International Conference on culture-Oriented Science and technology, CoST 2023

作者： Bai, Shilei Guo, Shizhen Hu, Chaoyu Zhang, Mengfei Gao, Ying Communication University of China State Key Laboratory of Media Convergence and Communication Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China Beijing China Center for Ethnic and Folk Literature and Art Development Ministry of Culture and Tourism Beijing China

ISBN: (纸本)9798350357998

The oral story culture of ethnic folklore is one of the important components of traditional Chinese culture, and it is of key importance to study the timbre evaluation methods of this type of audio after digital capture. This paper uses subjective timbre evaluation experiments to explore the subjective perceptual characteristics of audio signals of oral story, extracts the objective acoustic parameters of audio timbre based on human vocal principles, auditory perceptual characteristics and speech time domain features, and conducts research on objective timbre evaluation methods based on support vector regression (SVR), random forest regression (RFR), convolutional neural networks (CNN) and long short-term memory networks (LSTM). The results show that the use of feature extraction and non-linear algorithms has good results in the evaluation of oral story timbre. © 2023 IEEE.

关键词： Feature extraction

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