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Music emotion prediction based on multidimensional feature fusion

Music emotion prediction based on multidimensional feature f...

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Information technology,Big Data and Artificial Intelligence (ICIBA), International Conference on IEEE International Conference on

作者： Xuanye Zhou Zhibin Su Hui Ren School of Information and Communication Engineering Communication University of China Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China

Audience sentiment analysis is a popular research task in Music Information Retrieval (MIR). In this work, we aim to lean the prediction model of fine-grained music emotion for intelligent editing and retrieval. To satisfy the properties of time-series of music, the RNN-based model of BILSTM was selected as the bone. In particular, the traditional features and deep features extracted from the CNN architecture of spectrogram was fused with attention mechanism to enhance the recognition ability for different emotions. The ablation experiment has proved the necessary of the multi-dimensional features. Finally, the contrasting experiments on recent algorithms demonstrate that our proposed method for emotion prediction is effective, which is also suitable for small data sets.

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Fault Prediction Method of Stage Lifts Based on Digital Twin

Fault Prediction Method of Stage Lifts Based on Digital Twin

引用

culture-Oriented Science and technology (CoST), International Conference on

作者： Huiqin Wang Chunxi Zhang Zhen Li Mengjiao Xiao Ministry of Culture and Tourism Key Laboratory of Acoustic Visual Technology and Intelligent Control System Beijing China School of Information and Communication Engineering Communication University of China Beijing China

ISBN: (数字)9798350380347

ISBN: (纸本)9798350380354

To improve the safety of stage lifts’ operation and reduce the failure rate, a digital-twin assisted fault prediction method is proposed here. Signals such as vibration and temperature are collected from the virtual and physical models. A fault prediction model based on Graph Convolutional Networks (GCN) is constructed to identify the potential faults of stage lift. The experiment results illustrate the effectiveness of the proposed model. It would enhance the safety and stability of stage equipment, and provide reliable support for stage performances.

关键词： Fault diagnosis Vibrations Training Computational modeling Predictive models Stability analysis Real-time systems

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Research on Comfort Perception and Evaluation of Immersive Experience Equipment in Cultural Tourism

Research on Comfort Perception and Evaluation of Immersive E...

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culture-Oriented Science and technology (CoST), International Conference on

作者： Huibo Hu Zhibin Su Yujian Jiang Lingxi Qu School of Information and Communication Engineering Communication University of China Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China

ISBN: (数字)9798350380347

ISBN: (纸本)9798350380354

Virtual Reality Head-Mounted Display (HMD), also known as VR glasses, is a typical amusement device that provides an immersive viewing experience based on virtual reality technology in cultural tourism equipment. Various factors may cause users to experience different degrees of sensory discomfort when using VR head-mounted displays, posing potential safety risks during performances. This study focuses on typical VR glasses used in cultural tourism performances and evaluates user comfort as the primary indicator. Through subjective evaluation experiment design, it examines the impact of motion conditions, internal scene settings, and VR glasses configuration on users’ comfort perception. The research aims to provide theoretical analysis and experimental data to reduce performance safety risks.

关键词： Performance evaluation visualization Time-frequency analysis Head-mounted displays Glass Resists Immersive experience

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Point Cloud Denoising Algorithm Based on Noise Classification

Point Cloud Denoising Algorithm Based on Noise Classificatio...

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culture-oriented Science & technology (ICCST), International Conference on

作者： Chaohui Lv Min Li School of Information and Communication Engineering Communication University of China Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China

ISBN: (数字)9781728181387

ISBN: (纸本)9781728181394

Aiming at the problem of different kinds of noise in 3D point cloud data, we propose a point cloud denoising method based on noise classification. This algorithm first divides noise in point cloud data into inner points and outer points, and uses radius filtering and statistical filtering to remove the outer points. Then, normal and curvature information of point cloud are estimated by the principal component analysis. At the same time, curvature information is introduced into the bilateral filtering factor to improve the existing algorithm. Ultimately, we smooth inner points mixed in point cloud by utilizing the modified algorithm. Comparing the improved algorithm with the bilateral filtering algorithm on the bunny, horse and dragon model, experimental results indicate that the maximum error and the average error are reduced. The algorithm in this paper makes models' features maintained better while models are smoothed.

关键词： Three-dimensional displays Filtering Filtering algorithms Classification algorithms Solid modeling Noise reduction Smoothing methods

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A Study of visual Attention Elements with Experiment Analysis Based on Composition

A Study of Visual Attention Elements with Experiment Analysi...

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International Conference on Computer and Information Science (ACIS)

作者： Wei Jiang Yanan Su Shuang Wang Key Laboratory of Acoustic Visual Technology and Intelligent Control System Communication University of China Beijing China

The elements in the image that can attract people's visual attention are visual attention elements. Composition is a kind of visual perception feature in the study of audio-visual fusion information processing. The balance of composition depends on the distribution of visual attention elements in the image. Aiming at the problems of poor pertinence of existing visual attention models, unsystematic classification, unscientific selection of visual attention elements and insufficient consideration of human visual perception, this paper proposes a method of visual attention elements screening based on composition. Firstly, a material library based on composition is constructed, and PAD and harmony are marked. Then, a subjective assessment experiment is designed to screen out visual attention elements based on human perception. Finally, the experimental data were analyzed, the elements of visual attention based on composition were screened out, classified and summarized.

关键词： visualization Libraries Feature extraction Art TV Standards visual perception

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CTMC-based numerical analysis of cluster system with middle states in the case of common mode failure

CTMC-based numerical analysis of cluster system with middle ...

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International Conference on Computer and Information Science (ACIS)

作者： Zhiguo Hong Minyong Shi Yongbin Wang Faculty of Science and Engineering Communication University of China Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture Beijing China Beijing Key Laboratory of Modern Entertainment Technology Beijing China

ISBN: (纸本)9781509055081

By taking both CMF (Common Mode Failure) and middle states into account, numerical analysis of availability of cluster system is analyzed. Firstly, a CTMC (Continuous Time Markov Chain) model of cluster system containing three cluster nodes is constructed with failure rate (λ), repair rate (μ), CMF rate (γ), reconfiguration rate (β) and reset rate (δ) etc. Then the steady state solution of the CMTC model is concerned by solving the equations with the combination of several parameters. Subsequently, the effect of probability of being in automatic recovery mode (k) on availability of cluster system is analyzed and discussed via numerical values-based chart thereby. This work offers quantitative analysis of cluster system's availability.

关键词： Mathematical model Analytical models Numerical models Markov processes Steady-state Computers Reliability

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Speech enhancement using magnitude and phase spectrum compensation

Speech enhancement using magnitude and phase spectrum compen...

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International Conference on Computer and Information Science (ACIS)

作者： Zhen Li Wenjin Wu Qin Zhang Hui Ren Shilei Bai Information Engineering School Communication University of China Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture Beijing China Beijing Key Laboratory of Modern Entertainment Technology Beijing China

ISBN: (纸本)9781509008070

Background noise is a severe problem in speech related systems. In order to solve this problem, it is important to eliminate the noise from the noisy speech, which is called speech enhancement. Typical speech enhancement algorithms only operate on the short-time magnitude spectrum, while keeping the short-time phase spectrum unchanged for synthesis. Or only compensate the phase spectrum while keeping the magnitude spectrum unchanged. In this paper, we present a novel method by changing both magnitude and phase spectra to produce a modified complex spectrum. The test of an objective speech quality measure PESQ, and spectrogram analysis had showed that the proposed method can obtain better enhancement performance.

关键词： Speech Speech enhancement Noise measurement Signal to noise ratio Spectrogram Estimation

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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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culture-Oriented Science and technology (CoST), International Conference on

作者： Chaoyu Hu Shilei Bai Mengfei Zhang School of Information and Communication Engineering Communication University of China 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: (数字)9798350380347

ISBN: (纸本)9798350380354

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.

关键词： Costs Text recognition Semantics Named entity recognition Organizations Decoding History

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Roaming in the concert hall: a customized interactive immersive system for professional musicians and appreciators 24

Roaming in the concert hall: a customized interactive immers...

引用

24th International Congress on acoustics, ICA 2022

作者： Liu, Junzhe Liu, Jingyu Zhu, Jiaxing Li, Zijin 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 Communication University of China China Beijing Key Laboratory of Modern Entertainment Technology Communication University of China China School of Information and Communication Engineering Communication University of China China School of Architecture Tianjin University China Department of Musicology China Conservatory of Music China AI music and Music Information Technology Department Central Conservatory of Music China

Virtual concerts have become an emerging form of music performance, and it casts a perspective on the development and exploration of real-time interactive virtual spaces as well as the creation of digital twins. This paper introduces a customizable interactive immersive concert hall system, which can meet the diverse needs of different roles such as audiences, musicians, conductors and audio engineers. It supports switching between different concert hall scenes, changing the placement of orchestra, adjusting instrument volume, and listening to selected instrument ensembles while performing in the concert hall. The system also supports real-time switching between different music pickup types and microphone frequency responses. The system simulates the architectural acoustic environment of outstanding concert halls around the world, and is enabled with real-time auralization. © ICA *** rights reserved

关键词： Concert Hall acoustic Simulation Interactive Immersive acoustic Space Real-Time Auralization

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Research on Hybrid Path Planning Algorithm Based on Anti-Collision

Research on Hybrid Path Planning Algorithm Based on Anti-Col...

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culture-Oriented Science and technology (CoST), International Conference on

作者： Penghao Ren Mengnan Li Zhibin Su Beijing Radio & Television Station Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Communication University of China Beijing Key Laboratory of Modern Entertainment Technology Communication University of China Beijing China

In order to solve the problem of fast switching of special equipment in the cultural complex, the improved Moth-Flame Optimization algorithm (MFO) is combined with the improved Dynamic Window Approach (DWA) to realize the hybrid path planning of handling robots in different scenarios of cultural complexes in this paper. Specifically, the traditional Moth-Flame Optimization algorithm is improved and applied to the global path planning problem. On the basis of the planned global path, the intersection of dynamic obstacles with the global path is detected, and the improved Dynamic Window Approach is used for local obstacle avoidance in the section with collision risk, finally, the hybrid path planning in the complex environment of the cultural complex is realized. The simulation experimental results prove the effectiveness of the proposed algorithm.

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