Automatic Drum Beat Generation using GAN

Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks

Existing systems for automatic transcription of drum tracks from polyphonic music focus on detecting drum instrument onsets but lack consideration of additional meta information like bar boundaries, tempo, and meter. We address this limitation by proposing a system which has the capability to detect drum instrument onsets along with the corresponding beats and downbeats. In this design, the sys...

Automatic Drum Transcription Using Bi-Directional Recurrent Neural Networks

Automatic drum transcription (ADT) systems attempt to generate a symbolic music notation for percussive instruments in audio recordings. Neural networks have already been shown to perform well in fields related to ADT such as source separation and onset detection due to their utilisation of time-series data in classification. We propose the use of neural networks for ADT in order to exploit the...

Autoresonant beat-wave generation

Autoresonance offers an efficient and robust means for the ponderomotive excitation of nonlinear Langmuir waves by phase-locking of the plasma wave to the slowly chirped beat frequency of the driving lasers via adiabatic passage through resonance. This mechanism is analyzed for the case of a cold, relativistic, underdense electron plasma, and its suitability for particle acceleration is discuss...

Automatic ECG Beat Arrhythmia Detection

Background: In recent years automated data analysis techniques have drawn great attention and are used in almost every field of research including biomedical. Artificial Neural Networks (ANNs) are one of the ComputerAidedDiagnosis tools which are used extensively by advances in computer hardware technology. The application of these techniques for disease diagnosis has made great progress and is...

Automatic Drum Transcription and Source Separation