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A robust hybrid neural network architecture for blind source separation of speech signals exploiting deep learning
In the contemporary era, blind source separation has emerged as a highly appealing and
significant research topic within the field of signal processing. The imperative for the …
significant research topic within the field of signal processing. The imperative for the …
Cough2COVID-19 detection using an enhanced multi layer ensemble deep learning framework and CoughFeatureRanker
In response to the pressing requirement for precise and easily accessible COVID-19
detection methods, we present the Cough2COVID-19 framework, which is cost-effective, non …
detection methods, we present the Cough2COVID-19 framework, which is cost-effective, non …
Dissecting the Instrumental Acoustics by Comparing Traditional and Avant-Garde Techniques
S SP, C Divya, M Kowsalya - … by Comparing Traditional and Avant-Garde … - papers.ssrn.com
An in-depth study of audio separation, delving into avant-garde and conventional
methodologies for isolating musical tones. The exploration aims to investigate various …
methodologies for isolating musical tones. The exploration aims to investigate various …
Feature Extraction and Database Construction of Vocal Choral Audio Storage on the Basis of Independent Component Analysis
Y Wu - 2023 International Conference on Intelligent …, 2023 - ieeexplore.ieee.org
Music art is an important component of human art, and its forms of expression are mainly
achieved through various forms such as vocal, choir, and instrumental music. Vocal choir …
achieved through various forms such as vocal, choir, and instrumental music. Vocal choir …