5 citations · 9 across the 8 of their papers we have counts for
5 papers · 1 filter
Calibration of a two-state pitch-wise HMM method for note segmentation in Automatic Music Transcription systems
Dorian Cazau, Yuancheng Wang, Olivier Adam +2
Many methods for automatic music transcription involves a multi-pitch estimation method that estimates an activity score for each pitch. A second processing step, called note segme…
Investigation on the use of Hidden-Markov Models in automatic transcription of music
D. Cazau, G. Nuel
Hidden Markov Models (HMMs) are a ubiquitous tool to model time series data, and have been widely used in two main tasks of Automatic Music Transcription (AMT): note segmentation,…
Bi-class classification of humpback whale sound units against complex background noise with Deep Convolution Neural Network
Cazau Dorian, Riwal Lefort, Julien Bonnel +2
Automatically detecting sound units of humpback whales in complex time-varying background noises is a current challenge for scientists. In this paper, we explore the applicability…
Particle Filtering for PLCA model with Application to Music Transcription
D. Cazau, G. Revillon, W. Yuancheng +1
Automatic Music Transcription (AMT) consists in automatically estimating the notes in an audio recording, through three attributes: onset time, duration and pitch. Probabilistic La…
Understanding the Probabilistic Latent Component Analysis Framework
D. Cazau, G. Nuel
Probabilistic Component Latent Analysis (PLCA) is a statistical modeling method for feature extraction from non-negative data. It has been fruitfully applied to various research fi…