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เนื้อหาจัดทำโดย Marc Matthews เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Marc Matthews หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal
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#139: The Future of AI-Assisted Music Production and Mastering with Ian Stewart

53:33
 
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Manage episode 414017518 series 2867915
เนื้อหาจัดทำโดย Marc Matthews เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Marc Matthews หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal

Have you ever wondered if AI can mix and master music? Maybe you're seeking answers to topics: what the term mastering refers to, what is normalisation, what does Spotify normalisation do, the best AI mastering, is there AI for music production, is there an AI bot for music, can AI make music, or maybe even can AI make my song sound better? Then check out EP 139 of the Inside The Mix podcast.
Prepare to be enthralled as the exceptionally skilled Ian Stewart and I lift the veil on the future of music production with the advent of AI-assisted mastering. We venture into the world where artificial intelligence shapes the sounds that move us, touching on the nuances of genre recognition and the potential shifts in the music industry's landscape. As we converse, Ian's expertise shines, offering an intriguing perspective on the complex relationship between AI advancements and human creativity, while also sharing indispensable tips for mastering with the aid of AI, ensuring audio engineers and enthusiasts alike can harness the full potential of these cutting-edge tools.
The ethical conundrum of AI-generated music on streaming platforms takes centre stage as we confront the implications for artist royalties and the inherent human desire to create. We navigate the delicate balance between technology's role in automating routine tasks and the potential for AI to introduce innovative forms of ambience and engagement—imagine your very own personalised concentration playlist, crafted by an intelligent algorithm. This thought-provoking discussion not only dissects the ethical implications but also delves into how AI might support the undercurrent of artists fighting for visibility in the streaming era.
In our final act, we unravel the intricacies of mastering for optimal sound quality, where my revelation about the impact of subtle gain adjustments sets the stage for a broader conversation on the art of mastering. We challenge the current paradigms of loudness normalisation and debate the merits of album versus track normalisation, all in service of preserving the artist's vision. Ian and I also demystify the technicalities behind using reference tracks and navigating loudness measurements, ultimately guiding you towards making your music resonate powerfully in the tangible world. Join us for this illuminating journey through the harmonious blend of technology and artistry in audio mastering.
CLICK HERE to follow Ian Stewart: https://www.flotownmastering.com

DISCOVER what's the best music streaming service for you in 2024?
CLICK HERE to learn more about the AES Symposium on AI and the Musician: https://aes2.org/events-calendar/aes-international-symposium-on-ai-and-the-musician/
DOWNLOAD my 5 Essential Free Mastering Plugins guide: https://bit.ly/3ZGCOdM

Send me a Message

Support the show

► ► ► WAYS TO CONNECT ► ► ►
Join my FREE Logic Pro Mixing Course TODAY!
✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸
Are you READY to accelerate your mixing, in Logic Pro, in less than six hours?
Join my FREE Logic Pro Mixing Course at Synth Music Mastering: https://www.synthmusicmastering.com/free
Send a DM via IG @insidethemicpodcast
Email me at marc@synthmusicmastering.com

  continue reading

บท

1. AI-Assisted Mastering in Music Production (00:00:00)

2. Generative AI in Music Future (00:13:07)

3. Impact of AI on Music Streaming (00:18:09)

4. Audio Mastering With Gain and Tracks (00:27:56)

5. Reference Tracks and Loudness Normalization (00:32:17)

6. Mastering for Optimal Sound Quality (00:39:52)

163 ตอน

Artwork
iconแบ่งปัน
 
Manage episode 414017518 series 2867915
เนื้อหาจัดทำโดย Marc Matthews เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Marc Matthews หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal

Have you ever wondered if AI can mix and master music? Maybe you're seeking answers to topics: what the term mastering refers to, what is normalisation, what does Spotify normalisation do, the best AI mastering, is there AI for music production, is there an AI bot for music, can AI make music, or maybe even can AI make my song sound better? Then check out EP 139 of the Inside The Mix podcast.
Prepare to be enthralled as the exceptionally skilled Ian Stewart and I lift the veil on the future of music production with the advent of AI-assisted mastering. We venture into the world where artificial intelligence shapes the sounds that move us, touching on the nuances of genre recognition and the potential shifts in the music industry's landscape. As we converse, Ian's expertise shines, offering an intriguing perspective on the complex relationship between AI advancements and human creativity, while also sharing indispensable tips for mastering with the aid of AI, ensuring audio engineers and enthusiasts alike can harness the full potential of these cutting-edge tools.
The ethical conundrum of AI-generated music on streaming platforms takes centre stage as we confront the implications for artist royalties and the inherent human desire to create. We navigate the delicate balance between technology's role in automating routine tasks and the potential for AI to introduce innovative forms of ambience and engagement—imagine your very own personalised concentration playlist, crafted by an intelligent algorithm. This thought-provoking discussion not only dissects the ethical implications but also delves into how AI might support the undercurrent of artists fighting for visibility in the streaming era.
In our final act, we unravel the intricacies of mastering for optimal sound quality, where my revelation about the impact of subtle gain adjustments sets the stage for a broader conversation on the art of mastering. We challenge the current paradigms of loudness normalisation and debate the merits of album versus track normalisation, all in service of preserving the artist's vision. Ian and I also demystify the technicalities behind using reference tracks and navigating loudness measurements, ultimately guiding you towards making your music resonate powerfully in the tangible world. Join us for this illuminating journey through the harmonious blend of technology and artistry in audio mastering.
CLICK HERE to follow Ian Stewart: https://www.flotownmastering.com

DISCOVER what's the best music streaming service for you in 2024?
CLICK HERE to learn more about the AES Symposium on AI and the Musician: https://aes2.org/events-calendar/aes-international-symposium-on-ai-and-the-musician/
DOWNLOAD my 5 Essential Free Mastering Plugins guide: https://bit.ly/3ZGCOdM

Send me a Message

Support the show

► ► ► WAYS TO CONNECT ► ► ►
Join my FREE Logic Pro Mixing Course TODAY!
✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸
Are you READY to accelerate your mixing, in Logic Pro, in less than six hours?
Join my FREE Logic Pro Mixing Course at Synth Music Mastering: https://www.synthmusicmastering.com/free
Send a DM via IG @insidethemicpodcast
Email me at marc@synthmusicmastering.com

  continue reading

บท

1. AI-Assisted Mastering in Music Production (00:00:00)

2. Generative AI in Music Future (00:13:07)

3. Impact of AI on Music Streaming (00:18:09)

4. Audio Mastering With Gain and Tracks (00:27:56)

5. Reference Tracks and Loudness Normalization (00:32:17)

6. Mastering for Optimal Sound Quality (00:39:52)

163 ตอน

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