A Supervised Classification Algorithm for Note Onset Detection
This paper presents a novel approach to detecting onsets in music audio files.We use a supervised learning algorithm to classify spectrogram frames extracted from digital audio as being Eye Health onsets or nononsets.Frames classified as onsets are then treated with a simple peak-picking algorithm based on a moving average.We present two versions o