The Silent Curriculum:Classical Aesthetics as a Catalyst for Emotional and Social Skills in Higher Vocational Education

This study examines the integration of classical aesthetics into the silent curriculum of higher vocational education,emphasizing its potential to significantly enhance emotional and social skills.Incorporating aesthetic principles into education emphasizes the importance of nurturing emotional intelligence,creativity,and cultural awareness in students-skills that go beyond the classroom and are essential for their growth,adaptability,and future careers.It explores theoretical foundations and practical implementations and addresses challenges such as the need for specialized educator training,overcoming institutional resistance,and securing adequate resources.Advocating for empirical research and strategic cultural partnerships,the paper proposes a transformative approach to vocational education,aligning it with contemporary societal and labor market demands,and underscores the vital role of classical aesthetics in enriching vocational training and enhancing student outcomes.

Interdisciplinary Approach of Aesthetics： On New Humanities Discipline and Modem Aesthetics Study

In the era of cultural economy or aesthetic capitalism, the relationship between humanities and science has undergone great changes that include four aspects： （1） the humanities are compatible with and dependent on science rather than antagonism and conflict; （2） the content and form of humanities have so greatly changed that the new humanities discipline has appeared; （3） in contemporary scientific and cultural development pattern, new humanities have gradually become the principal discipline; （4） aesthetics and art gradually highlight its importance. Based on the thoughts of Karl Marx＇s Economic and Philosophic Manuscripts of 1844, this paper intends to discuss the essence and significances of the modernity problem in contemporary society. And then, it analyzes ＂how to think about the future＂ in the era of aesthetic capitalism or cultural economy. In the last part of the paper, several characteristics of the new humanities are studied from the perspective of contemporary aesthetics.

Memory and Aesthetics： Study of Musical Quotations in Ives’s and Crumb’s Music

Throughout Western music history, pre-existing material has long been the aesthetic core of a new composition. Yet there has never been such an epoch as our time in which using pre-existing material, melodic quotation in particular, features so extensively in works of many of the composers. The aim of this paper is to investigate how the use of quoted tunes in a musical piece operates in an interwoven complex where time and space are of the essence. A quote is able to oscillate perpetually between one’s mental worlds of the memorable past and the imaginative present when it is highlighted enough to be recognizable from its surrounding context. Upon interpreting the use of quotation in various contexts, the aesthetic object, I argue, is the shift from original to quoted music, and vice versa. And listeners can respond aesthetically to the quotation itself even without knowledge of its provenance and textual or referential content.

On the Contribution and Status of Leo Tolstoy in the Modern History of Aesthetics

The essentialismabout beauty and art of Tolstoy is based on the criticismof the traditional trinity ideology of the true,the good and the beautiful. H e resolutely denies the discussion of the essence of beauty of the traditional aesthetics,denying that the essence of beauty is in the pleasant sensation and the traditional fine arts. At the same time,he believes that the concept of art cannot be based on beauty and that the essence of art is determined —art is nothing but communication of emotion,putting forward the pure,clear and sincere aesthetical standard and revealing the essence of emotion and the functions of art. Tolstoy is the milestone in the history of the western aesthetics and is of great significance to the development of the western modern aesthetics.

Emotional Vietnamese Speech Synthesis Using Style-Transfer Learning

In recent years,speech synthesis systems have allowed for the produc-tion of very high-quality voices.Therefore,research in this domain is now turning to the problem of integrating emotions into speech.However,the method of con-structing a speech synthesizer for each emotion has some limitations.First,this method often requires an emotional-speech data set with many sentences.Such data sets are very time-intensive and labor-intensive to complete.Second,training each of these models requires computers with large computational capabilities and a lot of effort and time for model tuning.In addition,each model for each emotion failed to take advantage of data sets of other emotions.In this paper,we propose a new method to synthesize emotional speech in which the latent expressions of emotions are learned from a small data set of professional actors through a Flow-tron model.In addition,we provide a new method to build a speech corpus that is scalable and whose quality is easy to control.Next,to produce a high-quality speech synthesis model,we used this data set to train the Tacotron 2 model.We used it as a pre-trained model to train the Flowtron model.We applied this method to synthesize Vietnamese speech with sadness and happiness.Mean opi-nion score(MOS)assessment results show that MOS is 3.61 for sadness and 3.95 for happiness.In conclusion,the proposed method proves to be more effec-tive for a high degree of automation and fast emotional sentence generation,using a small emotional-speech data set.

The Aesthetic Characteristics of Emotional Abuse in The Japanese Movie“0.5mm”

The Japanese movie“0.5mm”connects the life clips between the nursing-care helper Sawa and several old people in the form of a road movie,highlighting many thought-provoking social problems,and revealing how the elements of emotional abuse hidden between the old people and their relatives and friends affect people’s dignity and decency,and at the same time trying to offset the persecution from the emotional abuse with the warm kindness between the elderly and the care workers.The film’s implicit description of emotional abuse and explicit display of good deeds are blended in the quiet and mysterious narrative character,achieving the effect of synchronizing the artistic narrative rhythm with the flow of life,reflecting the unique aesthetic characteristics of Japanese films.

与自己对话:李娟散文的生命回归及诗性美学

李娟散文以与自己对话的坦诚,深度探索了生命回归的落脚点,有着意蕴深邃的诗性美学。她的散文中的生命回归,实则落脚于自然的和谐与人与自然的关系,是理性与感性交融的火花。以融入与分离的纠葛以及漂泊与停留的回归,展现了边地灵动鲜活的壮丽自然风光,为自我对话以及生命回归的出路探寻,挖掘了广阔空间。以层次丰富的叙述视角、自然质朴的语言风格与知性细腻的情感流动,书写了其散文创作的诗性美学。

中西互鉴视阈中潘知常的生命美学再思考

中国美学名家潘知常从中国传统美学的核心精神“生”“情”“境”出发,构建了“生命视界”“情感为本”“境界取向”的“情本境界生命论”“美学体系”。他用拿来主义的态度,广泛吸收借鉴中外美学、文学、哲学思想宝库,打通古今,融汇中西,形成独特的生命美学体系,对中国文论的建设和美学的发展带来一定启示。

基于预训练模型的语音情感识别算法

针对语音情感识别任务,本文提出一种基于开源大规模语音预训练模型的算法方案。类似于图像分类任务的迁移学习做法,把wav2vec2或者HuBERT模型当作语音特征提取器,对语音数据提取特征,然后接全连接网络进行分类。同时,固定预训练模型的里的提特征模块权重,对其Transformer层和最终的分类网络一起进行微调。实验结果显示,在IEMOCAP数据集的四类情感识别任务上,采用HuBERT-large的预训练模型,本文的方法可以取得0.731的分类正确率。

Multimodal Emotion Recognition with Transfer Learning of Deep Neural Network

Due to the lack of large-scale emotion databases,it is hard to obtain comparable improvement in multimodal emotion recognition of the deep neural network by deep learning,which has made great progress in other areas.We use transfer learning to improve its performance with pretrained models on largescale data.Audio is encoded using deep speech recognition networks with 500 hours’speech and video is encoded using convolutional neural networks with over 110,000 images.The extracted audio and visual features are fed into Long Short-Term Memory to train models respectively.Logistic regression and ensemble method are performed in decision level fusion.The experiment results indicate that 1)audio features extracted from deep speech recognition networks achieve better performance than handcrafted audio features;2)the visual emotion recognition obtains better performance than audio emotion recognition;3)the ensemble method gets better performance than logistic regression and prior knowledge from micro-F1 value further improves the performance and robustness,achieving accuracy of 67.00%for“happy”,54.90%for“an?gry”,and 51.69%for“sad”.

Self-attention transfer networks for speech emotion recognition

Background A crucial element of human-machine interaction,the automatic detection of emotional states from human speech has long been regarded as a challenging task for machine learning models.One vital challenge in speech emotion recognition(SER)is learning robust and discriminative representations from speech.Although machine learning methods have been widely applied in SER research,the inadequate amount of available annotated data has become a bottleneck impeding the extended application of such techniques(e.g.,deep neural networks).To address this issue,we present a deep learning method that combines knowledge transfer and self-attention for SER tasks.Herein,we apply the log-Mel spectrogram with deltas and delta-deltas as inputs.Moreover,given that emotions are time dependent,we apply temporal convolutional neural networks to model the variations in emotions.We further introduce an attention transfer mechanism,which is based on a self-attention algorithm to learn long-term dependencies.The self-attention transfer network(SATN)in our proposed approach takes advantage of attention transfer to learn attention from speech recognition,followed by transferring this knowledge into SER.An evaluation built on Interactive Emotional Dyadic Motion Capture(IEMOCAP)dataset demonstrates the effectiveness of the proposed model.

An exploratory study of South African women’s experiences of In Vitro Fertilisation and Embryo Transfer (IVE-ET) at fertility clinics

Infertility is considered to be a growing problem worldwide. In sub-Saharan Africa, at least 20%-50% of couples of reproductive age experience a fertility problem and 30% are diagnosed with infertility. This study explores the experiences of women in South Africa who are involuntary childless and explores their psychological and emotional experiences of In Vitro Fertilisation and Embryo Transfer (IVF-ET). Utilising a qualitative methodology, a diverse group of 21 married women diagnosed with infertility and who had undergone at least two cycles of IVF-ET were recruited. Semi-structured, in-depth individual interviews were conducted and the data were analysed using thematic analysis. The results of the study indicated that the women perceived themselves as not conforming to a dominant belief system and as a result felt compelled to explore all the medical options available. They reported emotional turmoil characterised by primary binary emotions of anxiety-excitement and nervousness-optimistic. These emotions were experienced throughout the five stages of the IVF-ET treatment cycles. A synopsis of the psychological and emotional responses to the IVF-ET treatment is discussed. The findings of this study suggest the need for the incorporation of a mandatory psychosocial intervention as part of infertility management. Greater attention to the psychological and emotional repercussions of infertility treatment could lead to a more personalised client-approach which, in turn, would prepare infertile women and couples for the emotional demands of the treatment.

Transfer learning with deep sparse auto-encoder for speech emotion recognition

In order to improve the efficiency of speech emotion recognition across corpora,a speech emotion transfer learning method based on the deep sparse auto-encoder is proposed.The algorithm first reconstructs a small amount of data in the target domain by training the deep sparse auto-encoder,so that the encoder can learn the low-dimensional structural representation of the target domain data.Then,the source domain data and the target domain data are coded by the trained deep sparse auto-encoder to obtain the reconstruction data of the low-dimensional structural representation close to the target domain.Finally,a part of the reconstructed tagged target domain data is mixed with the reconstructed source domain data to jointly train the classifier.This part of the target domain data is used to guide the source domain data.Experiments on the CASIA,SoutheastLab corpus show that the model recognition rate after a small amount of data transferred reached 89.2%and 72.4%on the DNN.Compared to the training results of the complete original corpus,it only decreased by 2%in the CASIA corpus,and only 3.4%in the SoutheastLab corpus.Experiments show that the algorithm can achieve the effect of labeling all data in the extreme case that the data set has only a small amount of data tagged.

Two Great Transfers of Word Emotive Overtones In Modern Chinese

Since 1949, modern Chinese language has, in the course o f its development in China's Mainland, twice witnessed large-scale transfers in its word emotive overtones. The first began in 1949 and went on all the way till the end o f the Cultural Revolution in 1977. Derogation manifested itself in that period, during which the derogatory words enjoyed their greatest number, widest usages and highest frequency in the history o f the Chinese language. The second began from the Reform and Opening Up Policy in 1978 and lasted untill now. De-derogation has manifested itself in this period, during which the derogatory words have had the smallest number, least usages and lowest frequency in the history o f the Chinese language. The two large-scale transfers result from their specific social backgrounds and the development o f the Chinese language itself.

感性体验、情感认同与人格塑造——基于互联网平台的建筑美学课程教学模式研究

以审美教育和情感教育作为切入点,论述了建筑美学与感性体验、情感认同与建筑审美教育的关系。基于互联网技术平台,结合工科院校学生特点和课程特点,提出了以人格塑造设定教学目标、以感性体验设计教学方法、以情感认同构思教学内容的建筑美学课程教学模式,以期解决当前建筑美学课程教学中由于感性体验、情感认同教育缺失造成的人格塑造不全面的问题。

从感物美学的角度重审“诗可以怨”观念

自从钱钟书先生的论文《诗可以怨》发表后,“诗可以怨”一直被看作是文学创作的主要动机。从感物美学角度,创作动机可以划分为自然风物触发与社会历史现实触发两种基本类型。研究发现,无论因何而触发,文学创作动机都不仅包括“诗可以怨”,而且还包括“诗可以乐”。由此可见,文论界普遍认同的“诗可以怨”是文学创作的主要动机这一观念其实是不全面的和有局限性的,文学创作的动机实际上是“多元情感并举”的。

生活美学赋能乡村民宿高质量发展的逻辑理路与实践向度

生活美学既是一种新型美学形态,也是一种新质生产力,对乡村美学经济发展与和美乡村建设具有重要作用。通过文献调查法阐释生活美学的内涵要义、价值意蕴以及与民宿嵌入融合的逻辑理路,分析当前乡村民宿发展面临的现实困境后发现:为了祛除民宿沉疴痼疾,乡村民宿要运用生活美学新质生产力优化空间设计,展示器物美学,营造美学场景,拓展私域流量运营,聚合乡村美学业态,提高产品和服务的内容力,引爆消费美学消费触点,满足住客情绪价值,赋能乡村民宿高质量发展。

融入知识图谱和课程学习的对话情绪识别

对话领域情绪识别是基于对话的情感分类任务,对话数据具有口语化、主题跨度大和标签具有语义相似性的特点.口语化表现为对话中存在隐含常识和语法知识的二义性词语和省略句,导致模型难以准确建模语义信息;主题跨度大表现为不同对话场景下的文本信息丰富度差异大、情绪转移频率差异大,导致模型性能下降.提出CK-ERC模型缓解上述问题,在预训练阶段,抽取结构化数据为模型融入常识和语法知识图谱,帮助模型建模口语化信息;在微调阶段引入监督对比学习任务帮助模型识别相似情绪标签;在训练策略上设计了基于动态阈值的课程学习策略,按照文本丰富度从高到低、情绪转移频率从低到高的策略优化模型.CK-ERC模型在双人对话、多人对话、模拟对话、日常对话等多种对话模式下显著优于其他模型,在MELD和EmoryNLP数据集上获得最佳表现.

基于模糊理论指导的语文阅读教学刍论

恰当地运用模糊理论指导语文阅读教学,能够使学生准确把握文章的思想内涵和审美意象,更深层次地理解文章的意义,也能从总体上提升学生的语文核心素养。文章结合教学实践,基于模糊理论在语文教学中的具体体现,提出模糊理论在语文阅读教学中的应用策略,包括制定教学目标、生成弹性空间,咀嚼感悟、体味意境,激发想象、填补空白,打破常规、发散思维,模糊答案、延迟评价等,以期提升语文阅读教学质量,提升学生语文核心素养。

美感与情感:美学视角下的个体交互感知机制研究

[目的/意义]美学因素对用户情感体验有重要的影响作用,情感则是驱动用户交互行为的重要因素,为探讨美感和情感之间的关系,分析美学视角下的个体交互感知机制。[方法/过程]本文基于SOR理论构建了“界面美学—人体机理—美学感知”的研究模型,设计了不同审美能力被试浏览不同美学水平网页界面的眼动实验。参与实验的30名被试通过梅尔美术测试区分出了高审美组和低审美组,均浏览经权威网站投票甄选出的高美学水平和低美学水平网页,眼动追踪设备会记录他们的眼动行为,同时实验中还通过情感量表、美学量表和半结构化访谈采集用户的主观感知数据。[结果/结论]统计分析发现,两组被试间的总注视时长、注视点个数和平均注视时间存在显著差异,界面美学水平显著影响被试的视觉认知加工、情感效价和美学感知;高审美组被试对美学感知更加灵敏,两组被试对界面的情感倾向较为一致,被试审美能力对界面美学感知存在调节作用,个体机理对界面美学感知存在部分中介效应。本研究丰富了人机交互过程中美感与情感关系的相关知识,为提升交互界面美学设计和情感体验提供参考。