12 citations · 14 across the 6 of their papers we have counts for
4 papers · 1 filter
Towards Context-Aware Neural Performance-Score Synchronisation
Ruchit Agrawal
Music can be represented in multiple forms, such as in the audio form as a recording of a performance, in the symbolic form as a computer readable score, or in the image form as a…
A Convolutional-Attentional Neural Framework for Structure-Aware Performance-Score Synchronization
Ruchit Agrawal, Daniel Wolff, Simon Dixon
Performance-score synchronization is an integral task in signal processing, which entails generating an accurate mapping between an audio recording of a performance and the corresp…
Structure-Aware Audio-to-Score Alignment using Progressively Dilated Convolutional Neural Networks
Ruchit Agrawal, Daniel Wolff, Simon Dixon
The identification of structural differences between a music performance and the score is a challenging yet integral step of audio-to-score alignment, an important subtask of music…
Learning Frame Similarity using Siamese networks for Audio-to-Score Alignment
Ruchit Agrawal, Simon Dixon
Audio-to-score alignment aims at generating an accurate mapping between a performance audio and the score of a given piece. Standard alignment methods are based on Dynamic Time War…