Chord-Conditioned Melody Choralization with Controllable Harmonicity and Polyphonicity

Melody choralization, i.e. generating a four-part chorale based on a user-given melody, has long been closely associated with J.S. Bach chorales. Previous neural network-based systems rarely focus on chorale generation conditioned on a chord progression, and none of them realised controllable melody choralization. To enable neural networks to learn the general principles of counterpoint from Bach's chorales, we first design a music representation that encoded chord symbols for chord conditioning. We then propose DeepChoir, a melody choralization system, which can generate a four-part chorale for a given melody conditioned on a chord progression. Furthermore, with the improved density sampling, a user can control the extent of harmonicity and polyphonicity for the chorale generated by DeepChoir. Experimental results reveal the effectiveness of our data representation and the controllability of DeepChoir over harmonicity and polyphonicity. The code and generated samples (chorales, folk songs and a symphony) of DeepChoir, and the dataset we use now are available at https://github.com/sander-wood/deepchoir.Comment: 7 pages, 4 figures, 2 table

TunesFormer: Forming Irish Tunes with Control Codes by Bar Patching

This paper introduces TunesFormer, an efficient Transformer-based dual-decoder model specifically designed for the generation of melodies that adhere to user-defined musical forms. Trained on 214,122 Irish tunes, TunesFormer utilizes techniques including bar patching and control codes. Bar patching reduces sequence length and generation time, while control codes guide TunesFormer in producing melodies that conform to desired musical forms. Our evaluation demonstrates TunesFormer's superior efficiency, being 3.22 times faster than GPT-2 and 1.79 times faster than a model with linear complexity of equal scale while offering comparable performance in controllability and other metrics. TunesFormer provides a novel tool for musicians, composers, and music enthusiasts alike to explore the vast landscape of Irish music. Our model and code are available at https://github.com/sander-wood/tunesformer.Comment: 5 pages, 3 figures, 1 tabl

WikiMT++ Dataset Card

WikiMT++ is an expanded and refined version of WikiMusicText (WikiMT), featuring 1010 curated lead sheets in ABC notation. To expand application scenarios of WikiMT, we add both objective (album, lyrics, video) and subjective emotion (12 emotion adjectives) and emo\_4q (Russell 4Q) attributes, enhancing its usability for music information retrieval, conditional music generation, automatic composition, and emotion classification, etc. Additionally, CLaMP is implemented to correct the attributes inherited from WikiMT to reduce errors introduced during original data collection and enhance the accuracy and completeness of our dataset

Effect analysis of geometric parameters of floating raft on isolation performance

[Objectives] This paper focuses on the effects of the geometric parameters of a floating raft on isolation performance.[Methods] Based on the idea that the weight of a floating raft remains constant, a parametric finite element model is established using geometric parameters, and the effects of the geometric parameters when isolation performance is measured by vibration level difference are discussed.[Results] The effects of the geometric parameters of a floating raft on isolation performance are mainly reflected in the middle and high frequency areas. The most important geometric parameters which have an impact on isolation performance are the raft's height, length to width ratio and number of ribs. Adjusting the geometric parameters of the raft is one effective way to avoid the vibration frequency of mechanical equipment.[Conclusions] This paper has some practical value for the engineering design of floating raft isolation systems

Rhodium(I)-Catalysed Aryl C–H Carboxylation of 2-Arylanilines with CO2

An unprecedented amino-group assisted C–H carboxylation of 2-arylanilines with CO2 under redox-neutral conditions using a Rhodium(I)-catalyst has been developed. This reaction was promoted by a phosphine ligand with t-BuOK as the base and did not require the use of an extra strong organometallic reagent. Notably, this protocol may involve an oxidative addition in the C–H bond cleavage step and is distinct from previous Rh(I) or Rh(II)-catalysed methods for C–H carboxylation with CO2 mechanistically. It enabled an efficient direct conversion of a broad range of 2-(hetero)arylanilines including electron-deficient heteroarenes to various phenanthridinones, which could be further transformed to other synthetically useful compounds readily. Preliminary mechanistic studies were carried out and possible intermediates of the reaction were evaluated, which revealed that the Rh(I)-catalyst is essential for the C–H activation process, providing a promising general type of method for utilization of CO2 for C–C bond formation.<br /

Consecutive reduction, radical-cyclization, and oxidative-dehydrogenation reaction of ortho-substituted diboryl compounds

An elegant synthetic route to a ladder-type di-borate compound 2a was reported based on the reduction, radical-cyclization, and oxidative-dehydrogenation reaction of 1. The existence of the biradical intermediate [1●●]2- was supported by both EPR measurements and DFT calculations

Frequency-dependent reliability of ultrasonic testing based on numerical model with consideration of coarse aggregates in concrete

Ultrasonic testing (UT) is widely used in many engineering fields because of its unique merits (e.g. high accuracy, non-destructive, versatility, portability etc.). Moreover, UT can be used to detect a variety of internal flaws/defects, including cracks, voids, inclusions, and material degradation. Therefore, UT can be successfully used in evaluation of concrete status. However, the high degree of non-homogeneity of concrete impairs the reliability and accuracy of UT detection. And also, UT is a frequency-dependent method. Its resolution and accuracy can be highly influenced by the frequency. Thus, the existence of aggregate in concrete will introduce the uncertainty to the detection, which is often ignored. In this paper, to improve the accuracy and reliability of UT in concrete, the influence of aggregate and frequency were investigated. Through the parametric study, the inherent correlation between the stochastic effect introduced by coarse aggregates and UT signal was revealed based on the combination of experimental and numerical model. Therefore, the UT features for concrete detection are properly selected, which has less influence by aggregate and more sensitive to the internal flaws. The proposed strategy of UT data analysis can provide a guidance for on-site detection in concrete