Abstract: Identification of musical instruments from the acoustic signal using speech signal processing methods is a challenging problem. Further, whether this identification can be carried out by a ...
Dataset is already split into training and testing. We further performed a 90-10 split of the training set to obtain the validation set. Raw training, validation and test set contain .wav files that ...
ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...
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