This article begins with the construction and meaning of conceptual photography, analyzes its aesthetic attitude,and proposes that the reading experience of conceptual photography works through expression of meaning a...This article begins with the construction and meaning of conceptual photography, analyzes its aesthetic attitude,and proposes that the reading experience of conceptual photography works through expression of meaning and howto embody its spiritual connotation in the creative process, and “watch” the conceptual photography works becomethe act of interpreting a kind of figurative object, which makes the aesthetic experience of photography works fullyrealized.展开更多
The Bluest Eye is Toni Morrison’s maiden work,through which Morrison carried out independent thinking on the question of“What is beauty?”In The Bluest Eye,the image of mixed-blood is characterized as a self-satisfi...The Bluest Eye is Toni Morrison’s maiden work,through which Morrison carried out independent thinking on the question of“What is beauty?”In The Bluest Eye,the image of mixed-blood is characterized as a self-satisfied beautiful girl or lady due to light skin color.However,Morrison shatters their proud aesthetic edifice through satirical techniques.Firstly,this paper starts with the analysis of Shirley Temple on the blue-and-white cup and Mary Jane on candy wrapper as culture goods,in order to reveal the aesthetic standards of the mainstream.Next,through close reading,this paper,taking the example of a high-yellow child Maureen Peal,and the graceful sugar-brown lady Geraldine,makes deep analysis on their sense of superiority and artistic characteristics,and aims to better understand Morrison’s satirical techniques and interpretation of beauty.展开更多
Artificial intelligence(AI)is profoundly reshaping the practical logic and theoretical boundaries of bel canto education.This study takes“technical path-aesthetic challenge-paradigm reconstruction”as the analytical ...Artificial intelligence(AI)is profoundly reshaping the practical logic and theoretical boundaries of bel canto education.This study takes“technical path-aesthetic challenge-paradigm reconstruction”as the analytical framework to systematically explore the innovative mechanism and practical path of AI-empowered vocal education.At the technical level,an acoustic parameter modeling system is constructed based on deep learning.Through MEL spectrum analysis,forresonance tracking and breath dynamics modeling,the traditional singing assessment that relies on auditory experience is transformed into quantifiable and interpretable acoustic indicators(such as harmonic energy ratio,vowel resonance stability,etc.),achieving precise diagnosis and real-time intervention of vocal defects.Experimental data shows that this system reduces the learners’pitch error rate by 42%and increases their breath control efficiency by 35%.In the dimension of personalized training,an adaptive teaching engine based on reinforcement learning was developed to dynamically generate a three-dimensional matching scheme of“voice features-track difficulty-training intensity”,significantly reducing the time for beginners to master core vocal techniques(by an average of 28%).However,the conflict between AI quantitative indicators and the traditional aesthetic standards of vocal music has become prominent:the algorithm’s preference for standardized formuster distribution may suppress the singer’s unique timbre personality and artistic expression tension.To this end,a“dual-track evaluation model”is proposed:taking acoustic parameters as the technical benchmark and emotional expression and artistic appeal as the aesthetic benchmark,and achieving a dynamic balance between the two through expert annotation and group consensus algorithms.The research further reconstructs the teaching paradigm,advocating that AI tools be positioned as“aesthetic collaborators”rather than substitutes,and builds a new type of teacher-student relationship of“human-machine co-teaching-co-evaluation-co-creation”.This research provides a solution that is both technically feasible and aesthetically reasonable for the digital transformation of bel canto education,revealing the underlying logic of the deep integration of art and technology in the AI era.展开更多
文摘This article begins with the construction and meaning of conceptual photography, analyzes its aesthetic attitude,and proposes that the reading experience of conceptual photography works through expression of meaning and howto embody its spiritual connotation in the creative process, and “watch” the conceptual photography works becomethe act of interpreting a kind of figurative object, which makes the aesthetic experience of photography works fullyrealized.
文摘The Bluest Eye is Toni Morrison’s maiden work,through which Morrison carried out independent thinking on the question of“What is beauty?”In The Bluest Eye,the image of mixed-blood is characterized as a self-satisfied beautiful girl or lady due to light skin color.However,Morrison shatters their proud aesthetic edifice through satirical techniques.Firstly,this paper starts with the analysis of Shirley Temple on the blue-and-white cup and Mary Jane on candy wrapper as culture goods,in order to reveal the aesthetic standards of the mainstream.Next,through close reading,this paper,taking the example of a high-yellow child Maureen Peal,and the graceful sugar-brown lady Geraldine,makes deep analysis on their sense of superiority and artistic characteristics,and aims to better understand Morrison’s satirical techniques and interpretation of beauty.
文摘Artificial intelligence(AI)is profoundly reshaping the practical logic and theoretical boundaries of bel canto education.This study takes“technical path-aesthetic challenge-paradigm reconstruction”as the analytical framework to systematically explore the innovative mechanism and practical path of AI-empowered vocal education.At the technical level,an acoustic parameter modeling system is constructed based on deep learning.Through MEL spectrum analysis,forresonance tracking and breath dynamics modeling,the traditional singing assessment that relies on auditory experience is transformed into quantifiable and interpretable acoustic indicators(such as harmonic energy ratio,vowel resonance stability,etc.),achieving precise diagnosis and real-time intervention of vocal defects.Experimental data shows that this system reduces the learners’pitch error rate by 42%and increases their breath control efficiency by 35%.In the dimension of personalized training,an adaptive teaching engine based on reinforcement learning was developed to dynamically generate a three-dimensional matching scheme of“voice features-track difficulty-training intensity”,significantly reducing the time for beginners to master core vocal techniques(by an average of 28%).However,the conflict between AI quantitative indicators and the traditional aesthetic standards of vocal music has become prominent:the algorithm’s preference for standardized formuster distribution may suppress the singer’s unique timbre personality and artistic expression tension.To this end,a“dual-track evaluation model”is proposed:taking acoustic parameters as the technical benchmark and emotional expression and artistic appeal as the aesthetic benchmark,and achieving a dynamic balance between the two through expert annotation and group consensus algorithms.The research further reconstructs the teaching paradigm,advocating that AI tools be positioned as“aesthetic collaborators”rather than substitutes,and builds a new type of teacher-student relationship of“human-machine co-teaching-co-evaluation-co-creation”.This research provides a solution that is both technically feasible and aesthetically reasonable for the digital transformation of bel canto education,revealing the underlying logic of the deep integration of art and technology in the AI era.
