Search
Search Results
-
MuseFlow: music accompaniment generation based on flow
Arranging and orchestration are critical aspects of music composition and production. Traditional accompaniment arranging is time-consuming and...
-
Genre Recognition from Symbolic Music with CNNs: Performance and Explainability
In this work, we study the use of convolutional neural networks for genre recognition in symbolically represented music. Specifically, we explore the...
-
A Music Cognition–Guided Framework for Multi-pitch Estimation
As one of the most important subtasks of automatic music transcription (AMT), multi-pitch estimation (MPE) has been studied extensively for...
-
Cogeneration of Innovative Audio-visual Content: A New Challenge for Computing Art
In recent years, computing art has developed rapidly with the in-depth cross study of artificial intelligence generated content (AIGC) and the main...
-
Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music Generation
The concept of a Binary Multi-track Sequential Generative Adversarial Network (BinaryMuseGAN) used for the generation of music has been applied and...
-
Exploring AI Music Generation: A Review of Deep Learning Algorithms and Datasets for Undergraduate Researchers
This review paper presents an exploration of the deep learning-based music generation literature, designed to offer undergraduate researchers an...
-
Drum Fills Detection and Generation
Drum fills are essential in the drummer’s playing. They regularly restore energy and announce the transition to a new part of the song. This aspect...
-
Investigating the Viability of Masked Language Modeling for Symbolic Music Generation in abc-notation
The dominating approach for modeling sequences (e.g. text, music) with deep learning is the causal approach, which consists in learning to predict...
-
A-Muze-Net: Music Generation by Composing the Harmony Based on the Generated Melody
We present a method for the generation of Midi files of piano music. The method models the right and left hands using two networks, where the left...
-
Genre Recognition from Symbolic Music with CNNs
In this work we study the use of convolutional neural networks for genre recognition in symbolically represented music. Specifically, we explore the...
-
Hierarchical multi-head attention LSTM for polyphonic symbolic melody generation
Creating symbolic melodies with machine learning is challenging because it requires an understanding of musical structure and the handling of...
-
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...
-
Alarm Sound Recommendation Based on Music Generating System
In this paper, we propose an alarm sound recommendation system based on music generation. The recommendation system will be integrated with an...
-
Music Representations
Music can be represented in many different ways and formats. For example, a composer may write down a composition in the form of a musical score. In...
-
Conditional neural sequence learners for generating drums’ rhythms
Machine learning has shown a successful component of methods for automatic music composition. Considering music as a sequence of events with multiple...
-
Note Recognizer: Web Application that Assists Music Learning by Detecting and Processing Musical Characteristics from Audio Files or Microphone in Real-Time
Note recognizer is an online web application. In order to overcome the performance issues of the internet infrastructure (browser, devices, OS...
-
ARPiano Efficient Music Learning Using Augmented Reality
ARPiano uses a MIDI keyboard and a multifunction knob to create a novel mixed reality experience that supports visual music learning, music...
-
Music Representations
Music can be represented in many different ways and formats. For example, a composer may write down a composition in the form of a musical score. In...
-
Application of an Island Model Genetic Algorithm for a Multi-track Music Segmentation Problem
Genetic algorithms have been introduced to the field of media segmentation including image, video, and also music segmentation since segmentation...
-
Optimization of Parameter Settings for Genetic Algorithms in Music Segmentation
Genetic algorithms have been introduced to the field of media segmentation including image, video, and also music segmentation since segmentation...