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Identifier 000406877
Title Mixing and reproduction of user generated audio recordings
Alternative Title Ψηφιακές τεχνικές μίξης και αναπαραγωγής ηχογραφήσεων προερχόμενες από πληθοπωρισμό
Author Βισκαδούρος, Μενέλαος Μ.
Thesis advisor Μουχτάρης, Αθανάσιος
Reviewer Τσακαλίδης, Παναγιώτης
Αργυρός, Αντώνιος
Abstract We live in the era of smart multimedia devices, drones and smartphones, devices capable of capturing every moment of our lives and of the public events that we attend. Recordings from these devices, produced by many users participating in the same public event, become available through the social media and the large number of websites which provide video and audio content. This way, they become easily accessible to the general public and to the scientific community. In the current work, we investigate different means by which this rich material can be processed and combined, so as to produce an audio stream which provides an enhanced listening experience of the captured acoustic event. Considering a collection of User Generated audio Recordings (UGR) which are organized and synchronized along a common time axis, we explore various simple monophonic and stereophonic mixing techniques, exploiting all the recordings which are available at each time instance. Moreover, we introduce Maximum Component Elimination (MCE), a novel multichannel signal processing technique which is implemented in the time - frequency domain with the goal to suppress acoustic noise and interference in the near field of each recording device. A listening test was conducted with the scope to study the preference of the listener with respect to material resulting from the mixture of UGRs from different devices, compared to material originating from a single recording device. The results indicate that some of the mixing techniques gather significantly higher preference in comparison to when UGRs are reproduced individually. Additional listening tests were conducted with the scope to evaluate the ability of MCE in suppressing noise and interference which is unique to each recording location. The results of the test indicate that unwanted noise, such as speech or wind, is much less perceived or not perceive d at all when using MCE, as opposed to when the UGRs are simply superimposed.
Language English
Subject Growdsourcing
Maximun Component Elimination (MCE)
Mixing techniques
Quality features
Περιεχόμενο παραγόμενο από το χρήστη
Τεχνικά χαρακτηριστικά
Issue date 2017-03-17
Collection   Faculty/Department--Faculty of Sciences and Engineering--Department of Computer Science--Post-graduate theses
  Type of Work--Post-graduate theses
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