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The rise of nonnegative matrix factorization: Algorithms and applications
YT Guo, QQ Li, CS Liang - Information Systems, 2024 - Elsevier
Although nonnegative matrix factorization (NMF) is widely used, some matrix factorization
methods result in misleading results and waste of computing resources due to lack of timely …
methods result in misleading results and waste of computing resources due to lack of timely …
An overview of automatic speech recognition preprocessing techniques
Speech signal preprocessing is the first and the most important step in the automatic speech
recognition process. The preprocessing of speech consists of cleaning the speech signal …
recognition process. The preprocessing of speech consists of cleaning the speech signal …
Spectro-temporal filtering based on The beta-divergence for speech separation using nonnegative matrix factorization
M Fakhry - 2021 4th International Seminar on Research of …, 2021 - ieeexplore.ieee.org
Nonnegative matrix factorization (NMF) has shown high effectiveness to perform supervised
speech separation. In this context, nonnegative spectral basis matrices representing sources …
speech separation. In this context, nonnegative spectral basis matrices representing sources …
[PDF][PDF] Πολυ-Αισθητηριακή Ακουστική Ανάλυση Περιβάλλοντος
Π Γιαννούλης - 2022 - dspace.lib.ntua.gr
Περίληψη Στη Διατριβή μας εξετάζουμε το πρόβλημα του εντοπισμού ακουστικών γεγονότων
σε «έξυπνα» περιβάλλοντα με πολλαπλά μικρόφωνα. Ο εντοπισμός ακουστικών γεγονότων …
σε «έξυπνα» περιβάλλοντα με πολλαπλά μικρόφωνα. Ο εντοπισμός ακουστικών γεγονότων …