Music Emotion Recognition Based on Feature Fusion Broad Learning Method

With the rapid development in the field of artificial intelligence and natural language processing(NLP),research on music retrieval has gained importance.Music messages express emotional signals.The emotional classification of music can help in conveniently organizing and retrieving music.It is also the premise of using music for psychological intervention and physiological adjustment.A new chord-to-vector method was proposed,which converted the chord information of music into a chord vector of music and combined the weight of the Mel-frequency cepstral coefficient(MFCC) and residual phase(RP) with the feature fusion of a cochleogram.The music emotion recognition and classification training was carried out using the fusion of a convolution neural network and bidirectional long short-term memory(BiLSTM).In addition,based on the self-collected dataset,a comparison of the proposed model with other model structures was performed.The results show that the proposed method achieved a higher recognition accuracy compared with other models.

A survey of music emotion recognition

Music is the language of emotions.In recent years,music emotion recognition has attracted widespread attention in the academic and industrial community since it can be widely used in fields like recommendation systems,automatic music composing,psychotherapy,music visualization,and so on.Especially with the rapid development of artificial intelligence,deep learning-based music emotion recognition is gradually becoming mainstream.This paper gives a detailed survey of music emotion recognition.Starting with some preliminary knowledge of music emotion recognition,this paper first introduces some commonly used evaluation metrics.Then a three-part research framework is put forward.Based on this three-part research framework,the knowledge and algorithms involved in each part are introduced with detailed analysis,including some commonly used datasets,emotion models,feature extraction,and emotion recognition algorithms.After that,the challenging problems and development trends of music emotion recognition technology are proposed,and finally,the whole paper is summarized.

Style-conditioned music generation with Transformer-GANs

Recently,various algorithms have been developed for generating appealing music.However,the style control in the generation process has been somewhat overlooked.Music style refers to the representative and unique appearance presented by a musical work,and it is one of the most salient qualities of music.In this paper,we propose an innovative music generation algorithm capable of creating a complete musical composition from scratch based on a specified target style.A style-conditioned linear Transformer and a style-conditioned patch discriminator are introduced in the model.The style-conditioned linear Transformer models musical instrument digital interface(MIDI)event sequences and emphasizes the role of style information.Simultaneously,the style-conditioned patch discriminator applies an adversarial learning mechanism with two innovative loss functions to enhance the modeling of music sequences.Moreover,we establish a discriminative metric for the first time,enabling the evaluation of the generated music’s consistency concerning music styles.Both objective and subjective evaluations of our experimental results indicate that our method’s performance with regard to music production is better than the performances encountered in the case of music production with the use of state-of-the-art methods in available public datasets.

“拨乱反正”时期主情音乐思潮的兴起

粉碎"四人帮"至十一届三中全会和中国文学艺术工作者第四次全国代表大会的召开,是文艺思想领域里的"拨乱反正"时期。这一时期关于抒情歌曲、音乐形象、音乐的阶级性、音乐与政治之关系等问题的讨论,促进了音乐观念的不断更新,特别是抒情歌曲在音乐创作和群众音乐生活中的回归与广受欢迎,反映了主情音乐思潮的迅速崛起。主情音乐思潮的一个最突出的特征是抒情主体的迁变,即由集体抒情转向个体抒情。

声乐教学中歌唱思维的培养

在声乐艺术的学习及演唱过程中,歌唱思维贯穿其始终。本文从歌唱思维想象性、情感性、创造性和审美性的特点入手,以这些特征为依据,对歌唱思维的每一特征在声乐教学中的运用进行细致的分析。

The impact of consistency between the emotional feature of advertising music and brand personality on brand experience

Music in advertising plays a crucial role in making the audience feel beyond the multi-level visual experience.The intrinsic link between brand publicity and advertising music has long been a puzzle.This paper discusses the impact of the consistency between the emotional characteristics of music and brand personality on brand experience and expands the discussion to brand experience under market competition.We use the examples of Canon and Apple for our study.The results shows that:(1)the higher the degree of consistency between the emotional experience from music and brand personality,the greater the positive effect on brand experience;(2)this positive effect is not as significant for functional brands as it is for representative brands;(3)the consistency between the emotional experience from music and brand personality has a greater impact on brand experience for representative brands than functional brands.The results provide practical guidance for branding campaigns.

缪天瑞普通音乐教育思想对后人的启迪

缪天瑞先生在20世纪中叶形成普通音乐教育思想.他的个性化、人文化、人本化、审美化和情感化的普通音乐教育思想给后人深刻的启迪.这对更新当今的普通音乐教育观念大有裨益,对当下我国音乐教育改革有着重要的指导意义.

浅谈以李贽为代表的反“淡和”主情思潮的音乐美学思想

主情思潮音乐思想,是中国古代音乐史上最为合理的音乐美学思想。它以“童心”说为基础,以自然为准则,以主情为特征,向传统的礼乐思想发起挑战。是封建主义没落,资本主义萌芽时期人民争取自由解放的思想愿望在音乐美学领域的强烈反映。