About: Proposed Integration Algorithm to Optimize the Separation of Audio Signals Using the ICA and Wavelet Transform

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Proposed Integration Algorithm to Optimize the Separation of Audio Signals Using the ICA and Wavelet Transform
Creator	Adasme, Pablo Cañete, Lucio Dehghan Firoozabadi, Ali San, Enrique Soto, Ismael
Source	PMC
abstract	In the present work, an integration of two combined methodologies is developed for the blind separation of mixed audio signals. The mathematical methodologies are the independent component analysis (ICA) and the discrete Wavelet transform (DWT). The DWT optimizes processing time by decreasing the amount of data, before that signals are processed by ICA. A traditional methodology for signal processing such as Wavelet is combined with a statistical process as ICA, which assumes that the source signals are mixed and they are statistically independent of each other. The problem refers to very common situations where the human being listens to several sound sources at the same time. The human brain being able to pay attention to the message of a particular signal. The results are very satisfactory, effectively achieving signal separation, where only a small background noise and a attenuation in the amplitude of the recovered signal are noticed, but that nevertheless the signal message is identified in such a way.
has issue date	2020-06-05(xsd:dateTime)
bibo:doi	10.1007/978-3-030-51935-3_39
has license	no-cc
sha1sum (hex)	b25230722ffaa58072459788c6dfd69664885476
schema:url	https://doi.org/10.1007/978-3-030-51935-3_39
resource representing a document's title	Proposed Integration Algorithm to Optimize the Separation of Audio Signals Using the ICA and Wavelet Transform
has PubMed Central identifier	PMC7340918
schema:publication	Image and Signal Processing
resource representing a document's body	covid:b25230722ffaa58072459788c6dfd69664885476#body_text
is schema:about of	named entity 'problem' named entity 'sound' named entity 'attenuation' named entity 'Wavelet transform' named entity 'ICA' named entity 'processed' named entity 'methodologies' named entity 'Wavelet Transform' named entity 'Signals' named entity 'SMALL' named entity 'PROBLEM' named entity 'SIGNALS' named entity 'ATTENTION' named entity 'COMMON' named entity 'statistical' named entity 'methodologies' named entity 'ICA' named entity 'DWT' named entity 'optimizes' named entity 'methodology' named entity 'DWT' named entity 'recovered' named entity 'Wavelet' named entity 'mixed' named entity 'signal processing' named entity 'amplitude' named entity 'discrete Wavelet transform' named entity 'Audio Signals' named entity 'desiccation' named entity 'vector' named entity 'sampled data' named entity 'linear function' named entity 'vector' named entity 'statistical method' named entity 'Cocktail Party effect' named entity 'low-frequency' named entity 'Forensic' named entity 'brain signals' named entity 'ear canal' named entity 'wavelet' named entity 'audio source' named entity 'speaker verification' named entity 'ICA' named entity 'data reduction' named entity 'statistical independence' named entity 'wavelet' named entity 'sampled data' named entity 'sampling' named entity 'independent component analysis' named entity 'ICA' named entity 'statistical dependency' named entity 'ICA' named entity 'ECG' named entity 'wavelet' named entity 'ICA' named entity 'mathematical model' named entity 'wavelet transformation' named entity 'wavelet' named entity 'continuous wavelet transform' named entity 'MFCC' named entity 'wavelet transform' named entity 'Cepstral' named entity 'ICA' named entity 'ICA' named entity 'sampled data' named entity 'vector' named entity 'vector' named entity 'wavelet' named entity 'magnetic resonance imaging' named entity 'wavelet' named entity 'ICA' named entity 'ICA' named entity 'ECG' named entity 'feature extraction' named entity 'algorithm' named entity 'wavelet transform' named entity 'ICA' named entity 'vector' named entity 'signal noise'

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