Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Beltran, Jose R."'
Autor:
BELTRAN, JOSE R. (AUTHOR), AGUINIS, HERMAN (AUTHOR), SHUUMARJAV, YANJINLKHAM (AUTHOR), MERCADO, MAURICIO (AUTHOR) mgmercad@syr.edu
Publikováno v:
Academy of Management Perspectives. Aug2024, Vol. 38 Issue 3, p368-391. 24p. 2 Diagrams, 10 Charts.
Many multi-source localization and tracking models based on neural networks use one or several recurrent layers at their final stages to track the movement of the sources. Conventional recurrent neural networks (RNNs), such as the long short-term mem
Externí odkaz:
http://arxiv.org/abs/2306.08510
Music Structure Analysis is an open research task in Music Information Retrieval (MIR). In the past, there have been several works that attempt to segment music into the audio and symbolic domains, however, the identification and segmentation of the
Externí odkaz:
http://arxiv.org/abs/2303.13881
Music is one of the Gardner's intelligences in his theory of multiple intelligences. How humans perceive and understand music is still being studied and is crucial to develop artificial intelligence models that imitate such processes. Music generatio
Externí odkaz:
http://arxiv.org/abs/2210.13944
In this article, we present musicaiz, an object-oriented library for analyzing, generating and evaluating symbolic music. The submodules of the package allow the user to create symbolic music data from scratch, build algorithms to analyze symbolic mu
Externí odkaz:
http://arxiv.org/abs/2209.07974
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 313-321, 2023
In this paper, we present a new model for Direction of Arrival (DOA) estimation of sound sources based on an Icosahedral Convolutional Neural Network (CNN) applied over SRP-PHAT power maps computed from the signals received by a microphone array. Thi
Externí odkaz:
http://arxiv.org/abs/2203.16940
Deep learning models are typically evaluated to measure and compare their performance on a given task. The metrics that are commonly used to evaluate these models are standard metrics that are used for different tasks. In the field of music compositi
Externí odkaz:
http://arxiv.org/abs/2203.14641
Generating a complex work of art such as a musical composition requires exhibiting true creativity that depends on a variety of factors that are related to the hierarchy of musical language. Music generation have been faced with Algorithmic methods a
Externí odkaz:
http://arxiv.org/abs/2108.12290
The aim of this work is to define a model based on deep learning that is able to identify different instrument timbres with as few parameters as possible. For this purpose, we have worked with classical orchestral instruments played with different dy
Externí odkaz:
http://arxiv.org/abs/2107.06231
Publikováno v:
Methods to Improve Our Field