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Research on Timbre Evaluation Method for Oral Literature

Research on Timbre Evaluation Method for Oral Literature

引用

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

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

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.

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A Study on the Relationship Between Timbre Perception Features and Emotion in Musical Sounds

A Study on the Relationship Between Timbre Perception Featur...

引用

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

作者： Jiying Guo Jingyu Liu Zijin Li Jiaxing Zhu Wei Jiang 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) School of Information and Communication Engineering Communication University of China China Conservatory of Music Beijing China

ISBN: (数字)9781728181387

ISBN: (纸本)9781728181394

This paper mainly studies the relationship between timbre perception features and emotion in musical sounds. Firstly, a five - dimensional emotional space was determined by multidimensional scaling analysis. Then emotional labeling subjective evaluation experiments were carried out for 72 scale materials and 48 melody materials of timbre to obtain emotional data of timbre materials. The correlation between timbre perception features and emotion is studied according to the playing content, temporal characteristics, and musical instrument types. Finally, a set of mathematical models of the relationship between timbre perception features and emotion was established by the method of multiple linear regression. The experimental results show that the features of timbre perception are an important effect on musical emotion, and these models have good predictive ability for the five emotion dimensions.

关键词： Timbre Instruments Correlation Correlation coefficient Standards Aerospace electronics Semantics

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Study on Subjective Perception of S3D Image with Regular-texture

Study on Subjective Perception of S3D Image with Regular-tex...

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IEEE Joint International Information technology and Artificial Intelligence Conference (ITAIC)

作者： Zhibin Su Bing Liu Weiwei Li Hui Ren Rui Huang 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 CITVC KEHUA CO. LTD. Technology Service Branch Beijing China

ISBN: (数字)9781728152448

ISBN: (纸本)9781728152455

With the rapid development of binocular stereo vision technology, S3D images and videos have been widely used in many aspects. However, there are few researches on the detail perception of comfortable experience and stereo sense based on image content with certain disparity. Considering that texture is an important visual information contained in an image, in this paper, we designed the computer-generated S3D images containing two kinds of parallax based on three types of texture distribution and six regular textures for subjective evaluation. The influence of texture features on visual comfort, depth perception and the region of interest were studied through the related data analysis. For comparison with the content of disparities, the 2D images with same texture were designed and rated for assessment. Experimental results have shown that the texture was an important factor affecting the comfort perception. However, only when the subject and the background had texture at the same time, the texture was an important factor affecting the depth perception. The different texture distribution between the main subject and background would cause the change of area of interest and evaluation result. Overall, the larger the area of the texture, the lower the comfort evaluation results, and the higher the depth perception. Our studies will not only confirm the law of perception on S3D images with certain features, but also provide the guide for multidimensional content production and display, which have practical value for the development of S3D image and video technology.

关键词： Wavelet transforms visualization Data analysis Three-dimensional displays Two dimensional displays Feature extraction Videos

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Composition Harmony Assessment Method Based on Rule of Thirds

Composition Harmony Assessment Method Based on Rule of Third...

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

作者： Aixia Tang Wei Jiang Jingjing Zhang Shuang Wang Yanting Gao School of Information and Communication Engineering Communication University of China Beijing China 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 School of Computer Science and Cybersecurity Communication University of China Beijing China

ISBN: (数字)9781728181387

ISBN: (纸本)9781728181394

Composition harmony mainly refers to the various components of the image that are sensed together as a harmonious and unified organism, it plays a key role in the assessment of image aesthetic quality. In this paper, a composition harmony assessment method based on the rule of thirds was proposed. The eye-tracking dataset was used to extract the saliency regions of the image and the composition harmony assessment method was designed by computing how close the centroid of the largest saliency region and the rule of thirds. Moreover, the effectiveness of the assessment method was analyzed by the subjective evaluation experiment results of the composition harmony. The experimental results showed that the composition harmony assessment method proposed in this paper is effective.

关键词： 6G mobile communication Artificial intelligence

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Research on Color Harmony Evaluation Method based on Color Complexity Measure

Research on Color Harmony Evaluation Method based on Color C...

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

作者： Yanting Gao Jingjing Zhang Shuang Wang Yuncong Peng Aixia Tang School of Information and Communication Engineering Communication University of China Beijing China Ministry of Culture and Tourism Key Laboratory of Acoustic Visual Technology and Intelligent Control System (Communication University of China) Beijing Key Laboratory of Modern Entertainment Technology (Communication University of China) School of Computer Science and Cybersecurity Communication University of China Beijing China

ISBN: (数字)9781728181387

ISBN: (纸本)9781728181394

Color harmony is an important factor affecting the aesthetic feeling of images and plays an important role in visual perception. It can evaluate the feasibility of images by constructing the computational model of human aesthetic thinking. In this paper, a color harmony evaluation method based on color complexity was implemented. Given the classical color harmony model which is suitable for the simple color combination but not suitable for the complex image, and the local feature redundancy caused by grid sampling, an adaptive sampling based on CCM(color complexity measure) was implemented. Then, K-means was adopted to extract local color harmony features. Finally, a model was constructed between local color harmony features and the overall color harmony by SVM. The results show that the method implemented in this paper can represent the color harmony of complex images accurately and effectively.

关键词： Image color analysis Support vector machines Feature extraction visual perception Wheels Computational modeling Complexity theory

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Attribute Analysis and Modeling Research on Color Harmony of Three-Color Combination

Attribute Analysis and Modeling Research on Color Harmony of...

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

作者： Jiapeng Pu Shuang Wang Hui Ren State Key Laboratory of Media Convergence and Communication Communication University of China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Communication University of China Beijing Key Laboratory of Modern Entertainment Technology Communication University of China Beijing China

Color harmony is the result of objective color matching and human subjective feeling. This paper aims to study the subjective and objective factors of color harmony and carry out mathematical models between them. Firstly, we constructed a color data set commonly used three-color combinations. Secondly, we analyzed the subjective and objective factors affecting color harmony, extracted the 36-dimensional objective physical features, and divided subjective factors into direct psychological factors and indirect psychological factors. Then, based on color harmony and its subjective factors, a total of 33 subjects evaluated 150 three-color combinations on a five-level scale. Finally, the mathematical models of color harmony were constructed by machine learning algorithms. The research shows that color harmony is not only affected by objective factors, but also by subjective factors, and the influence of subjective factors is greater. In addition, the multiple linear regression algorithm plays best on color harmony predicting, which can better explain the color harmony mechanism.

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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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Architectural Color Image Scale Computing of Beijing Forbidden City

Architectural Color Image Scale Computing of Beijing Forbidd...

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

作者： Bowen Liu Wenli Huang Xiumeng Yu Zongliu Ma Ziyi Guo Shuang Wang 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 Communication University of China China Beijing Key Laboratory of Modern Entertainment Technology Communication University of China China

ISBN: (数字)9798350380347

ISBN: (纸本)9798350380354

The traditional color system of Beijing Forbidden City is comprehensive and complex. The research focuses on collecting color data from the Forbidden City, analyzing subjective and objective color attributes, and compute architectural color image scale. First this research used K-means algorithm to extract the theme color cards of Beijing Forbidden City. Subsequently, single colors were extracted using the idea of community detection, and matching colors were extracted based on the thought of association rule mining. Then this research extracted objective attributes of colors and designed experiments to quantify subjective attributes. Finally, the color subjective and objective data fitting was completed. This outcome is helpful for the digital preservation of traditional colors and the advancement of color culture inheritance practices.

关键词： Costs Image color analysis Urban areas Semantics Fitting Color Data models

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Semantic Analysis and Modeling of the Color of Stage Costume – A Case Study of “The Painting Journey”

Semantic Analysis and Modeling of the Color of Stage Costume...

引用

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

作者： Wenli Huang Bowen Liu Fang Sun Shuang Wang State Key Laboratory of Media Convergence and Communication Communication University of China China Key Laboratory of Acoustic Visual Technology and Intelligent Control System (Communication University of China) China Beijing Key Laboratory of Modern Entertainment Technology (Communication University of China) China

ISBN: (数字)9798350380347

ISBN: (纸本)9798350380354

The creation of Chinese dance dramas plays an important role in the dissemination of Chinese culture in the context of pluralistic unity. As one of the outstanding poetry dramas in the past two years, “The Journey of a Legendary Landscape Painting” (JLLP) has rich national cultural connotations and aesthetic value in its stage costume colors. This article first studied the data extraction method of stage costume colors based on clustering and association rule mining, and constructed the color dataset for JLLP. On this basis, the color semantic mining and extraction including subjective and objective factors were conducted. Finally, combined with color semantics, the character personality of JLLP was further analyzed. The research results show that the color extraction method designed in this article can accurately preserve the color characteristics of stage costumes. In addition, the costume colors of JLLP play a good supporting role in shaping the character personality.

关键词： Humanities Costs Correlation Image color analysis Databases Semantics Clustering 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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