{"product_id":"audio-source-separation-using-independent-component-analysis-and-beam-formation-von-kishan-panaganti","title":"Audio source separation using independent component analysis and beam formation","description":"\u003cp\u003eProject 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).\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eFor 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). \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eIn 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.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eHere 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.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783656588863\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Libri","offers":[{"title":"Softcover - 9783656588863","offer_id":39447564517469,"sku":"9783656588863","price":17.95,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/f8162904-cb24-44bb-8619-f20f05e49eaa.jpg?v=1778130769","url":"https:\/\/shop.autorenwelt.de\/products\/audio-source-separation-using-independent-component-analysis-and-beam-formation-von-kishan-panaganti","provider":"Autorenwelt Shop","version":"1.0","type":"link"}