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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 |
|
UGR |
|
Ηχογραφήσεις |
|
Περιεχόμενο παραγόμενο από το χρήστη |
|
Τεχνικά χαρακτηριστικά |
Issue date |
2017-03-17 |
Collection
|
School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
|
|
Type of Work--Post-graduate theses
|
Permanent Link |
https://elocus.lib.uoc.gr//dlib/c/f/b/metadata-dlib-1488533504-844779-7643.tkl
|
Views |
612 |