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Audio source separation using independent component analysis and beam formation - Kishan Panaganti
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Audio source separation using independent component analysis and beam formation - neues Buch

2014, ISBN: 9783656588870

ID: 689425728

Project Report from the year 2013 in the subject Audio Engineering, grade: 10, , course: ECE, language: English, abstract: Audio source separation is the problem of automated separation of audio sources present in a room, using a set of differently placed microphones, capturing the auditory scene. The whole problem resembles the task a human can solve in a cocktail party situation, where using two sensors (ears), the brain can focus on a specific source of interest, suppressing all other sources present (cocktail party problem). For computational and conceptual simplicity this problem is often represented as a linear transformation of the original audio signals. In other words, each component (multivariate signal) of the representation is a linear combination of the original variables (original subcomponents). In signal processing, independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents by assuming that the subcomponents are non-Gaussian signals and that they are all statistically independent from each other. Such a representation seems to capture the essential structure of the data in many applications. Here we separate audio using different criteria suggested for ICA, being PCA (Principal Component Analysis), Non-gaussianity maximization using kurtosis and neg-entropy methods, frequency domain approach using non-gaussianity maximization and beamforming. Project Report from the year 2013 in the subject Audio Engineering, grade: 10, , course: ECE, language: English, abstract: Audio source separation is the problem of automated separation of audio sources present in a room, using a set of differently placed microphones, capturing the auditory scene. The whole problem resembles the task a human ... eBooks > Fremdsprachige eBooks > Englische eBooks > Sach- & Fachthemen PDF 05.02.2014 eBook, GRIN, .201

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Audio source separation using independent component analysis and beam formation - Kishan Panaganti
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Kishan Panaganti:

Audio source separation using independent component analysis and beam formation - neues Buch

2013, ISBN: 9783656588870

ID: 126053424

Project Report from the year 2013 in the subject Audio Engineering, grade: 10, , course: ECE, language: English, abstract: Audio source separation is the problem of automated separation of audio sources present in a room, using a set of differently placed microphones, capturing the auditory scene. The whole problem resembles the task a human can solve in a cocktail party situation, where using two sensors (ears), the brain can focus on a specific source of interest, suppressing all other sources present (cocktail party problem). For computational and conceptual simplicity this problem is often represented as a linear transformation of the original audio signals. In other words, each component (multivariate signal) of the representation is a linear combination of the original variables (original subcomponents). In signal processing, independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents by assuming that the subcomponents are non-Gaussian signals and that they are all statistically independent from each other. Such a representation seems to capture the essential structure of the data in many applications. Here we separate audio using different criteria suggested for ICA, being PCA (Principal Component Analysis), Non-gaussianity maximization using kurtosis and neg-entropy methods, frequency domain approach using non-gaussianity maximization and beamforming. Project Report from the year 2013 in the subject Audio Engineering, grade: 10, , course: ECE, language: English, abstract: Audio source separation is the problem of automated separation of audio sources present in a room, using a set of differently placed microphones, capturing the auditory scene. The whole problem resembles the task a human ... eBook eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen, GRIN

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Audio source separation using independent component analysis and beam formation - Kishan Panaganti
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Kishan Panaganti:
Audio source separation using independent component analysis and beam formation - neues Buch

2013

ISBN: 9783656588870

ID: 126053424

Project Report from the year 2013 in the subject Audio Engineering, grade: 10, , course: ECE, language: English, abstract: Audio source separation is the problem of automated separation of audio sources present in a room, using a set of differently placed microphones, capturing the auditory scene. The whole problem resembles the task a human can solve in a cocktail party situation, where using two sensors (ears), the brain can focus on a specific source of interest, suppressing all other sources present (cocktail party problem). For computational and conceptual simplicity this problem is often represented as a linear transformation of the original audio signals. In other words, each component (multivariate signal) of the representation is a linear combination of the original variables (original subcomponents). In signal processing, independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents by assuming that the subcomponents are non-Gaussian signals and that they are all statistically independent from each other. Such a representation seems to capture the essential structure of the data in many applications. Here we separate audio using different criteria suggested for ICA, being PCA (Principal Component Analysis), Non-gaussianity maximization using kurtosis and neg-entropy methods, frequency domain approach using non-gaussianity maximization and beamforming. Audio source separation using independent component analysis and beam formation eBook eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen, GRIN

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Audio source separation using independent component analysis and beam formation - Kishan Panaganti
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Kishan Panaganti:
Audio source separation using independent component analysis and beam formation - neues Buch

2013, ISBN: 9783656588870

ID: 126053424

Audio source separation is the problem of automated separation of audio sources present in a room, using a set of differently placed microphones, capturing the auditory scene. The whole problem resembles the task a human can solve in a cocktail party situation, where using two sensors (ears), the brain can focus on a specific source of interest, suppressing all other sources present (cocktail party problem). For computational and conceptual simplicity this problem is often represented as a linear transformation of the original audio signals. In other words, each component (multivariate signal) of the representation is a linear combination of the original variables (original subcomponents). In signal processing, independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents by assuming that the subcomponents are non-Gaussian signals and that they are all statistically independent from each other. Such a representation seems to capture the essential structure of the data in many applications. Here we separate audio using different criteria suggested for ICA, being PCA (Principal Component Analysis), Non-gaussianity maximization using kurtosis and neg-entropy methods, frequency domain approach using non-gaussianity maximization and beamforming. Projektarbeit aus dem Jahr 2013 im Fachbereich Tontechnik, Note: 10, , Veranstaltung: ECE, Sprache: Englisch eBook eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen

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2014, ISBN: 9783656588870

ID: 29180531

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Audio source separation using independent component analysis and beam formation
Autor:

Kishan Panaganti

Titel:

Audio source separation using independent component analysis and beam formation

ISBN-Nummer:

9783656588870

Detailangaben zum Buch - Audio source separation using independent component analysis and beam formation


EAN (ISBN-13): 9783656588870
Erscheinungsjahr: 2013
Herausgeber: GRIN

Buch in der Datenbank seit 13.04.2016 07:41:00
Buch zuletzt gefunden am 09.03.2017 23:07:24
ISBN/EAN: 9783656588870

ISBN - alternative Schreibweisen:
978-3-656-58887-0

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