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An evaluation framework for event detection using a morphological model of acoustic scenes
(arxiv, 2015-01)
This paper introduces a model of environmental acoustic scenes which adopts a morphological approach by ab-stracting temporal structures of acoustic scenes. To demonstrate its potential, this model is employed to evaluate ...
An End-to-End Neural Network for Polyphonic Music Transcription
(arxiv, 2015-08)
We present a neural network model for polyphonic music transcription. The architecture of the proposed model is analogous to speech recognition systems and comprises an acoustic model and a music language mode}. The acoustic ...
Modeling plate and spring reverberation using a DSP-informed deep neural network
Plate and spring reverberators are electromechanical systems first used and researched as means to substitute real room reverberation. Nowadays they are often used in music production for aesthetic reasons due to their ...
Musical Features for Automatic Music Transcription Evaluation
(Transactions of the International Society for Music Information Retrieval (TISMIR, 2021)
This technical report gives a detailed, formal description of the features introduced in the paper: Adrien Ycart, Lele Liu, Emmanouil Benetos and Marcus T. Pearce. "Investigating the Perceptual Validity of Evaluation Metrics ...
Joint Scattering for Automatic Chick Call Recognition
(2021)
Animal vocalisations contain important information about health, emotional state, and behaviour, thus can be potentially used for animal welfare monitoring. Motivated by the spectro-temporal patterns of chick calls in the ...