In this project, I developed a Convolutional Neural Network (CNN)-based music genre classification model that analyzes Mel-spectrograms extracted from audio files. Beyond classification, this project ...
An ideal music synthesizer should be both interactive and expressive, generating high-fidelity audio in realtime for arbitrary combinations of instruments and notes. Recent neural synthesizers have ...
Abstract: Music game has been popular among digital entertainment since 1960s, and it is significant for children’s musical interests and the inculcation of music. The most important part of music ...
Abstract: Most of the state-of-the-art automatic music transcription (AMT) models break down the main transcription task into sub-tasks such as onset prediction and offset prediction and train them ...
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