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Multipath planning based on multimodal optimization slime mold algorithm

Multipath planning based on multimodal optimization slime mo...

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

作者： Luli Gao Hui Ren School of Information and Communication Engineering Communication University of China Bejing China Key laboratory of Acoustic Visual Technology and Intelligent Control System(Communication University of China)Ministry of Culture and Tourism Bejing China Beijing Key Laboratory of Modern Entertainment Technology (Communication University of China) Bejing China

ISBN: (数字)9798350380347

ISBN: (纸本)9798350380354

Multipath planning aims to find multiple optimal paths simultaneously, and its essence is a multimodal optimization problem. In recent years, swarm intelligence (SI) optimization algorithms have provided effective solutions for multimodal optimization. In this paper, the multimodal optimization slime mold algorithm (MOSMA) based on master-slave structure and local search strategy (LS) is proposed to solve multipath planning problems in small cultural complex. Firstly, a local search strategy is introduced to eliminate the influence of the “centerbias” operator and improve the quality of solutions. Secondly, the master-salves structure is introduced to preserve the diversity of the population and enable it to simultaneously locate multiple solutions. Finally, the performance of MOSMA is analyzed on several multimodal functions, and an example of path planning in a small cultural complex is given.

关键词： Location awareness Costs Search problems Main-secondary Path planning Planning Cultural differences

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The Algorithm of Sequential Music Recommendation Based on BERT

The Algorithm of Sequential Music Recommendation Based on BE...

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

作者： Zhen Li Kaiyue Li Qingqing Yang State Key Laboratory of Media Convergence of Communication Key Laboratory of Acoustic Visual Technology and Intelligent Control System (Communication University of China) Ministry of Culture and Tourism Beijing Key Laboratory of Modern Entertainment Technology Communication University of China Communication University of China Beijing China

Music recommendation algorithms aim to predict the songs that users might be interested in based on various factors, such as their listening history. The best existing method is Bert_Music, a sequential music recommendation model based on Bidirectional Encoder Representation from Transformer (BERT). This model leverages user sequence context information to improve recommendation performance. However, Bert_Music only considers the sequence information of songs and ignores their content characteristics. To address this limitation, we propose an improved version of Bert_Music, which is a sequential music recommendation model based on Bidirectional Encoder Representation from Transformer with tag information (BERT_MUSIC_T), uses song ID (Identity) and tag information to make more accurate recommendations. We compared the performance of Bert_Music_T with that of the Bert_Music model on the *** dataset and found that the Precision has increased by up to 2.85%. These results prove the validity of our method.

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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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Automatic Image Generation of Peking Opera Face using StyleGAN2

Automatic Image Generation of Peking Opera Face using StyleG...

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

作者： Xin, Xiaoyu Shen, Yinghua Xiong, Rui Lin, Xiahan Yan, Ming Jiang, Wei Communication University of China School of Information and Communication Engineering Beijing China Center for Ethnic and Folk Literature and Art Development Ministry of Culture and Tourism of the P.R.C Beijing China Communication University of China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Beijing China

ISBN: (数字)9781665462488

ISBN: (纸本)9781665462488

Image generation technology, which is often used in various applications of intelligent image generation, can learn the feature distribution of real images and sample from the distribution to obtain the generated images with high fidelity. This paper focuses on the feature extraction and intelligent generation techniques of Peking opera face with Chinese cultural characteristics. Based on the creation of a Peking opera face dataset, this paper compares the impact of different variants of a Style-based generator architecture for Generative Adversarial Networks (StyleGAN2) and different sizes of datasets on the quality of face generation. The experimental results verify that the synthetic images generated by StyleGAN2 with the addition of the Adaptive Discriminator Augmentation (ADA) module are visually better and have good local randomness when the dataset is small and unbalanced in distribution. © 2022 IEEE.

关键词： Generative adversarial networks

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Classification of Dunhuang Mural Image Based on Small-sample and Semi-supervised Learning

Classification of Dunhuang Mural Image Based on Small-sample...

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IEEE Information technology, Networking, Electronic and Automation control Conference

作者： Hui Cui Zhibin Su Luyue Zhang Liyang Bai School of Information and Engineering Communication University of China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Center for Ethnic and Folk Literature and Art Development Ministry of Culture and Tourism P.R.C.

Dunhuang mural images classification belongs to the research task in the field of image recognition. In this paper, the semi-supervised model is established with multidimensional features extracted by transfer learning. A small number of labeled samples were used to obtain a large number of unlabeled data, combined with Active Learning and iterative strategy for multiple rounds of label transfer of selected samples. After several rounds of iterations, we can get a more powerful classification learner. Experiments on the self-built Dunhuang mural dataset have shown that the results can approach or even exceed some supervised learning methods when the number of known label samples is less than 4%. Our research implements the cultural resource image classification algorithm based on small samples, which is conductive to improving the accuracy when label samples are scarce.

关键词： Technological innovation Transfer learning Supervised learning Semisupervised learning Predictive models Feature extraction Classification algorithms

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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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A Singing Formant Extraction Method Based on Peak Fitting

A Singing Formant Extraction Method Based on Peak Fitting

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

作者： Jingyu Liu Jiawei Wu Wei Jiang State Key Laboratory of Media Convergence and Communication (Communication University of China) China Key Laboratory of Acoustic Visual Technology and Intelligent Control SystemMinistry of Culture and Tourism (Communication University of China) China School of Information and Communication Engineering (Communication University of China) China

ISBN: (数字)9798350380347

ISBN: (纸本)9798350380354

Analyzing the timbre characteristics of different singing genres is an important issue in the field of singing acoustics. Formants are an important characteristic parameter for timbre perception, but classical acoustic formant extraction methods lack accuracy and applicability in the analysis of singing genres. In order to solve the problem of insufficient accuracy and applicability of singing formants in singing genre analysis, this paper proposes a singing formant extraction method based on peak fitting. The paper summarizes the theory and methods of extracting vocal formants and based on a large amount of experimental data analysis, proposes a vocal formant feature extraction method based on peak fitting; The effectiveness of the singing formant extraction method based on peak fitting was verified through comparative experiments with existing formant algorithms. This article provides new research ideas and methods for extracting acoustic features in singing.

关键词： Accuracy Fitting Education Feature extraction acoustics Resonance Classification algorithms

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An acoustic Dataset Construction Method of Chinese Traditional Musical Instrument Guqin

An Acoustic Dataset Construction Method of Chinese Tradition...

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

作者： Jingyu Liu Chen Yang Zijin Li Wei Jiang 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 School of Information and Communication Engineering (Communication University of China) China AI music and Music Information Technology Department Central Conservatory of Music China

ISBN: (数字)9798350380347

ISBN: (纸本)9798350380354

With the acceleration of modernization and the rapid development of popular music, the splendid culture of Guqin, a type of Chinese traditional musical instrument which has lasted for nearly 1,000 years, is facing a serious inheritance crisis. Therefore, how to make full use of modern technical means to digitally store and manage the valuable traditional music cultural resources is the current *** response to the aforementioned challenges, this study focuses on the Guqin, an emblematic Chinese traditional musical instrument. By employing advanced audio feature extraction techniques, this research systematically analyzes the diverse playing techniques of Guqin, thereby establishing a comprehensive acoustic dataset. This endeavor not only facilitates the digital preservation and management of the Guqin’s musical heritage but also pioneers a standardized framework for the creation of acoustic datasets. This framework serves as a benchmark for the development of similar datasets, thereby promoting the conservation and standardization of resources associated with Chinese traditional musical instruments. This will provide a scientific basis for the inheritance, standardized management and construction of more acoustic datasets of ethnic musical instruments in the future.

关键词： Costs Instruments Feature extraction Information age acoustics Digital preservation Cultural differences

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Piano Concerto Source Separation Based on Speech Separation and Channel Attention

Piano Concerto Source Separation Based on Speech Separation ...

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

作者： Jingyu Liu JingJing Zhou Xinyan He Wei He 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 School of Information and Communication Engineering Communication University of China China School of Faculty of International Media Communication University of China China

ISBN: (数字)9798350380347

ISBN: (纸本)9798350380354

The Mossformer model excels in speech separation but has not been effectively applied to music source separation. Music sources have complex characteristics and higher sampling rates, making separation tasks more challenging. We addressed a rarely explored task of separating piano concerto recordings into individual piano and orchestral tracks. This process involves intricate coordination between the piano and orchestra, creating highly complex audio signals in both time and frequency domains. Our main contributions include: (1) adapting the speech separation model for the novel task of piano concerto source separation, constructing and processing a specialized dataset.(2) introducing channel attention in the separation module to dynamically adjust feature focus based on instrument characteristics, enhancing key features. Experiments on the Piano Concerto Dataset (PCD) showed improved separation performance, with a 0.22dB average Signal-to-Distortion Ratio (SDR) increase over the baseline model.

关键词： Adaptation models Source separation Costs Instruments Frequency-domain analysis Speech enhancement Recording

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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...

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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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