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محتوای ارائه شده توسط The Mastering Show Podcast. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط The Mastering Show Podcast یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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The Mastering Show #42 - Man versus machine - automated mastering

1:23:50
 
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Manage episode 192257611 series 129793
محتوای ارائه شده توسط The Mastering Show Podcast. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط The Mastering Show Podcast یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
Can robots really master our music ? Kenny Gioia set up poll on Facebook to see, asking people to choose between six different masters of the same song - three by humans (John Longley, an anonymous engineer from Sterling Sound and Steven Slate) and three by machines (LANDR, Aria and iZoTope Ozone). The great thing is, the test was blind, and loudness matched - so no-one knew which master they were listening to, and loudness didn’t influence the way the masters sounded. And the results of the poll were fascinating. In this show Kenny reveals which master was which, and we discuss the results - including: * Why this is not a scientific test * Ian’s blind comments on the masters, including his instincts about which was which * Why the poll results are probably skewed * When automated makes sense * What the robots still can’t do - and maybe never will Full show notes and links: http://themasteringshow.com/episode-43

Mentioned in this episode:

Leapwing

Find out more about Leapwing's plugins

Learn to master !

Click HERE to see Ian's courses and mastering resources

  continue reading

106 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 192257611 series 129793
محتوای ارائه شده توسط The Mastering Show Podcast. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط The Mastering Show Podcast یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
Can robots really master our music ? Kenny Gioia set up poll on Facebook to see, asking people to choose between six different masters of the same song - three by humans (John Longley, an anonymous engineer from Sterling Sound and Steven Slate) and three by machines (LANDR, Aria and iZoTope Ozone). The great thing is, the test was blind, and loudness matched - so no-one knew which master they were listening to, and loudness didn’t influence the way the masters sounded. And the results of the poll were fascinating. In this show Kenny reveals which master was which, and we discuss the results - including: * Why this is not a scientific test * Ian’s blind comments on the masters, including his instincts about which was which * Why the poll results are probably skewed * When automated makes sense * What the robots still can’t do - and maybe never will Full show notes and links: http://themasteringshow.com/episode-43

Mentioned in this episode:

Leapwing

Find out more about Leapwing's plugins

Learn to master !

Click HERE to see Ian's courses and mastering resources

  continue reading

106 قسمت

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