Chord progressions are the foundation and basis for pretty much every song ever written.
The types of chords used in the progression can affect the mood of the song. I’m going to show you how to write your own chord progressions to reflect different moods.
The three moods we’ll focus on are Happy, Sad, and Hopeful. And I’ll be showing these chords in the key of G. But I’ll be using the number system, so you can transpose them to any key you like.
For a lesson on how to do that, click here:
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https://www.youtube.com/watch?v=1kVic7Ne8lcReady to Get Started on the Piano? Learn how with 4 free and easy lessons!
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https://www.pianote.com/getting-started Learn to play piano quicker with chords! Enjoy 6 free lessons here:
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https://www.pianote.com/chord-hacks Ready to level up your playing? Get personal coaching tips and structured lessons: enjoy your free 7-day trial to Pianote!
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https://www.pianote.com/trial Chapters:
0:00 Intro
0:35 Happy
1:46 Sad
3:20 Hopeful
4:24 Takeaways
These are just a couple of options that you can try to experiment with. The real fun comes when you start making them your own.
Just think about what types of chords you are using and what ‘purpose’ they have. Are they happy chords? Sad chords? What feeling are you trying to convey?
Once you have your progression down, then you can start working on a melody. We have a lesson on that right here:
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https://www.pianote.com/lisa-recommendsABOUT LISA:
Lisa Witt has been teaching piano for +20 years and in that time has helped hundreds of thousands of students learn to play the songs they love. Lisa received classical piano training through the Royal Conservatory of Music, but she has since embraced popular music and playing by ear in order to accompany herself and others. She is a songwriter and recording artist. Lisa’s contagious enthusiasm will have you excited to practice and return to the keys for your next lesson. Her teaching style focuses on you, making lessons encouraging and fun.
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About the Site 🌐
This site provides links to random videos hosted at YouTube, with the emphasis on random. 🎥
Origins of the Idea 🌱
The original idea for this site stemmed from the need to benchmark the popularity of a video against the general population of YouTube videos. 🧠
Challenges Faced 🤔
Obtaining a large sample of videos was crucial for accurate ranking, but YouTube lacks a direct method to gather random video IDs.
Even searching for random strings on YouTube doesn't yield truly random results, complicating the process further. 🔍
Creating Truly Random Links 🛠️
The YouTube API offers additional functions enabling the discovery of more random videos. Through inventive techniques and a touch of space-time manipulation, we've achieved a process yielding nearly 100% random links to YouTube videos.
About YouTube 📺
YouTube, an American video-sharing website based in San Bruno, California, offers a diverse range of user-generated and corporate media content. 🌟
Content and Users 🎵
Users can upload, view, rate, share, and comment on videos, with content spanning video clips, music videos, live streams, and more.
While most content is uploaded by individuals, media corporations like CBS and the BBC also contribute. Unregistered users can watch videos, while registered users enjoy additional privileges such as uploading unlimited videos and adding comments.
Monetization and Impact 🤑
YouTube and creators earn revenue through Google AdSense, with most videos free to view. Premium channels and subscription services like YouTube Music and YouTube Premium offer ad-free streaming.
As of February 2017, over 400 hours of content were uploaded to YouTube every minute, with the site ranking as the second-most popular globally. By May 2019, this figure exceeded 500 hours per minute. 📈
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