Banca de DEFESA: LUIZ ALBERTO GUIMARAES VIANA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : LUIZ ALBERTO GUIMARAES VIANA
DATE: 13/02/2023
TIME: 14:00
LOCAL: https://conferenciaweb.rnp.br/webconf/laboratorio-de-sistemas-digitais-ufba
TITLE:

ESTIMATE OF MUSICAL PROGRESS THROUGH WAVELET SCALOGRAMS AND CONVOLUTIONAL NEURAL NETWORKS


KEY WORDS:
Audio Tempo Estimation, Musical Tempo, Wavelet, Scalogram, Convolutional Neural Network, Data Augmentation, MIR.
 
 

PAGES: 86
BIG AREA: Engenharias
AREA: Engenharia Elétrica
SUMMARY:

Audio tempo estimation is one of the most fundamental tasks in Music Information Retrieval (MIR). In this work, a wavelet scalogram is used as a two-dimensional image representation of the audio signal. Different ways of generating the wavelet scalogram were tested by varying the mother wavelet function and scale levels. The images were used to train a Convolutional Neural Network (CNN) through supervised learning, relating the image to a target tempo value. The k-fold cross-validation method was used to ensure the generalization of the proposed model and to determine the most appropriate way to generate the scalogram for the problem. Data augmentation was implemented online, modifying the scalograms before training. Finally, the model was evaluated on widely used databases in the literature, and the results were compared to the state-of-the-art. Good results were achieved on the "GiantSteps" evaluation databases using Morlet and Shannon mother wavelets.


COMMITTEE MEMBERS:
Interno - 2506534 - EDUARDO FURTADO DE SIMAS FILHO
Interno - 2530359 - ANTONIO CARLOS LOPES FERNANDES JUNIOR
Externo à Instituição - ROMIS RIBEIRO DE FAISSOL ATTUX - UNICAMP
Externo à Instituição - JUGURTA MONTALVÃO - UFS
Externo à Instituição - RICARDO MENEZES PRATES - UNIVASF
Notícia cadastrada em: 12/01/2023 11:37
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