2020
DOI: 10.17743/jaes.2020.0007
|View full text |Cite
|
Sign up to set email alerts
|

The Application of Mid-Side Theory to Produce Analog Stereo Audio Records Using a Single Laser Beam

Abstract: The recent resurgence of vinyl music records sales led by a consumer demand is increasing faster than production capability. This has resulted in supply delays across the sector. Thus far, manufacturing investments have been focused on traditional proven methods rather than alternative technologies. This paper demonstrates for the first time the production of a stereo recording via analog methodology using a single pulsed laser beam. Using mid-side theory, to combine a sum (mono) signal with a difference signa… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 19 publications
(44 reference statements)
0
1
0
Order By: Relevance
“…Case studies show that "granular data provided by music intelligence technologies, combined by machine learning prediction algorithms, can help the music industry's practitioners to make better decisions" (Kim & Oh, p. 8, 2021) It is important to note, that technologies now form specific algorithms which suggest what music a potential listener is supposed to listen to or which songs are to become hits (Yulianto & Hillebrandes Oroh, 2021). Even though audiences and music developers gain more power on their own, it is also shown that development requires all parties to participate, since listeners, developers, manufacturers etc., are a part of the same circle (Wilson et al, 2020). Furthermore, it is presented that music industry would have been destroyed by COVID-19 if not for the technological advancement (Wang, 2021), it enabled musicians and their audiences to control and prolong their relationships online.…”
Section: Resultsmentioning
confidence: 99%
“…Case studies show that "granular data provided by music intelligence technologies, combined by machine learning prediction algorithms, can help the music industry's practitioners to make better decisions" (Kim & Oh, p. 8, 2021) It is important to note, that technologies now form specific algorithms which suggest what music a potential listener is supposed to listen to or which songs are to become hits (Yulianto & Hillebrandes Oroh, 2021). Even though audiences and music developers gain more power on their own, it is also shown that development requires all parties to participate, since listeners, developers, manufacturers etc., are a part of the same circle (Wilson et al, 2020). Furthermore, it is presented that music industry would have been destroyed by COVID-19 if not for the technological advancement (Wang, 2021), it enabled musicians and their audiences to control and prolong their relationships online.…”
Section: Resultsmentioning
confidence: 99%