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Audio source separation using independent component analysis and beam formation

by Kishan Panaganti
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Current price ₹2,141.00
Original price ₹2,499.00
Original price ₹2,499.00
Original price ₹2,499.00
(-14%)
₹2,141.00
Current price ₹2,141.00

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Book cover type: Paperback
  • ISBN13: 9783656588863
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Grin Verlag
  • Publisher Imprint: Grin Verlag
  • Publication Date:
  • Pages: 32
  • Original Price: USD 25.5
  • Language: English
  • Edition: N/A
  • Item Weight: 55 grams
  • BISAC Subject(s): General, Waves & Wave Mechanics, and Acoustics & Sound

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.

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