What Happens After a Band Gets Signed (Then Dropped) from TikTokThe Rare Occasions are an LA-based, New England-bred indie rock band known for their explosive garage rock anthems with catchy vocal harmonies.

In 2021 the band released their first album as a trio, Big Whoop, which received significant press and radio play. Around the same time, their 2016 track “Notion” went viral on TikTok and continues to make waves, topping Spotify’s viral chart in the US and several other countries, and later landing on Billboard’s alternative charts and top 100 singles charts in the UK, Ireland, and Canada.

The Rare Occasions released their new EP, Attaboy, on November 4th, 2022. The first single off the EP “Seasick” has already garnered the attention of radio DJs across the country including SiriusXM’s Alt Nation with the second single “Not Afraid” being an explosive follow up. After sharing Attaboy’s hard-hitting riffs, danceable grooves, and ear-catching melodies with audiences across the nation on their Fall 2022 headline tour, the band has shifted its efforts towards new music in 2023.

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Mapping Tonal Harmony Pro 9 iOS Manual

What’s new in version 9 for iOS

The Analyzer Add-on

An incredible and unprecedented tool, not found in any app on the market today.

The Analyzer is able to solve a complete harmonic analysis of any chord progression written in an ordinary text editor. It finds key centers, modulations, pivot chords and of course, functional analysis and chord-scales for every chord in the song.

Open MUSIC-XML files from other apps (such as iReal Pro) and have the entire progression analyzed and ready to play.

Edit and save any progression using an ordinary text editor.

Analyze any song using any of the 10 different harmonic languages available: Jazz, Blues, Early Baroque, Late Classical, etc. Remember, although the rules of harmony are universal, some styles differ in the way they approach it (i.e. In Blues you can have a I7 chord)

Saving Performance Settings

Customize the play-along and hit SAVE. Mapping Tonal Harmony Pro will remember: tempo, mixer volumes & reverb, A.I. player customization, key of the song, groove style, and instrument sounds. So the next time you open that song the app will play it just the way you like it.

Shortcut Buttons

The shortcut buttons allow you to access often-used features in Mapping Tonal Harmony Pro with one click.(i.e. Hide/Show the map, all chords vs. used chords only, change staff preferences, adjust tempo, key, repeats, etc.

How To Import MusicXml Files from iReal Pro into Mapping Tonal Harmony Pro 9 (iOS)

Open the song you want to export in iReal Pro

(1) Tap on the share button to open the menu and choose Export Chord Chart

(2) Select the MusicXml option

(3) Find MTH Pro in the list of apps that can receive this type of file.

(OR) Click on More if you don’t see it listed there

Mapping Tonal Harmony Pro will launch and open the MusicXml file in the Analyzer’s Text Editor

You can edit some of the chords if you want

(4) Tap on the Analyze button

(5) Make sure to choose the correct music style from the drop down button

(Optional) If the song uses a Im7 chord in the progression you can enable the Allow im7 switch

(6) Tap on ANALYZE. Mapping Tonal Harmony Pro will find a solution for the harmonic analysis based on the style you’ve chosen.

You’ll get a report when the analysis is ready

(7) Click on OK to view the songs fully analyzed

The songs has been analyzed and saved, and you can play it with the Play button.

Note: songs that have been created with the analyzer have an (A) appended to their names

The Shortcuts Panel

In the shortcuts panel you can execute common tasks.

The macOS version vs. the iOS version

The macOS version offers a few more features (such as: the heat map, playlists, etc.) but the principles and operation of the two versions are the same. In this manual we’ll focus on the user interaction/interface elements that are different between the two versions.

To understand the concept and general operation of Mapping Tonal Harmony Pro, please refer to the macOS manual here:

Mapping Tonal Harmony Pro for macOS manual

Tips and Tricks in the iOS version

Resizing the Map/Score Panels

Looping Measures

Resizing the Map/Score Panels

Tap on the line diving the map and the score. The division line will get thicker. Then drag it up/down to resize the panels. To hide the map completely, you can drag the line all the way down.

Use this shortcut button to show/hide the map with one tap

Looping Measures

If you want to practice over specific measures follow this steps:

Tap & hold on the measure where you want the loop to start. Mapping Tonal Harmony Pro will show an alert box acknowledging your attempt to loop some measures. Click OK.

Then:

(1) Open the play-along menu(2) Select the amount of measures you want to loop(3) Enable LOOP

Saving Performance Settings

Once you’ve tweaked the tempo, A.I. player settings, volumes, style, etc. of a song, you can save those settings as a performance. So the next time you open that song it will sound exactly as you like it.

Use this button to save the current performance settings of the song.

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Machine learning and the arts: A creative continuumSketch a doodle of a drum or a saxophone to conjure a multi-instrumental composition. Look into a webcam, speak, and watch your mouth go bouncing across the screen — the input for a series of charmingly clunky chain reactions.

This is what visitors to the MIT Lewis Music Library encounter when they interact with two new digital installations, “Doodle Tunes” and “Sounds from the Mouth,” created by 2022-23 Center for Art and Technology (CAST) Visiting Artist Andreas Refsgaard in collaboration with Music Technology and Digital Media Librarian Caleb Hall. The residency was initiated by Avery Boddie, Lewis Music Library department head, who recognized Refsgaard’s flair for revealing the playfulness of emerging technologies. The intricacies of coding and machine learning can seem daunting to newcomers, but Refsgaard’s practice as a creative coder, interaction designer, and educator seeks to open the field to all. Encompassing workshops, an artist talk, class visits, and an exhibition, the residency was infused with his unique sense of humor — a combination of lively eccentricity and easygoing relatability.
Learning through laughter

Refsgaard, who is based in Copenhagen, is a true maverick of machine learning. “I’m interested in the ways we can express ourselves through code,” he explains. “I like to make unconventional connections between inputs and outputs, with the computer serving as a translator — a tool might allow you to play music with your eyes, or it might generate a love poem from a photo of a burrito.” Refsgaard’s particular spin on innovation isn’t about directly solving problems or launching world-changing startups. Instead, he simply seeks to “poke at what can be done,” providing accessible open-source templates to prompt new creative ideas and applications.

Programmed by Refsgaard and featuring a custom set of sounds created by Hall, “Doodle Tunes” and “Sounds from the Mouth” demonstrate how original compositions can be generated through a mix of spontaneous human gestures and algorithmically produced outputs. In “Doodle Tunes,” a machine learning algorithm is trained on a dataset of drawings of different instruments: a piano, drums, bass guitar, or saxophone. When the user sketches one of these images on a touchscreen, a sound is generated; the more instruments you add, the more complex the composition. “Sounds from the Mouth” works through facial tracking and self-capturing images. When the participant faces a webcam and opens their mouth, an autonomous snapshot is created which bounces off the notes of a piano. To try the projects for yourself, scroll to the end of this article.

Libraries, unlimited

Saxophone squeals and digital drum beats aren’t the only sounds issuing from the areas where the projects are installed. “My office is close by,” says Hall. “So when I suddenly hear laughter, I know exactly what’s up.” This new sonic dimension of the Lewis Music Library fits with the ethos of the environment as a whole — designed as a campus hub for audio experimentation, the library was never intended to be wholly silent. Refsgaard’s residency exemplifies a new emphasis on progressive programming spearheaded by Boddie, as the strategy of the library shifts toward a focus on digital collections and music technology.

“In addition to serving as a space for quiet study and access to physical resources, we want the library to be a place where users congregate, collaborate, and explore together,” says Boddie. “This residency was very successful in that regard. Through the workshops, we were able to connect individuals from across the MIT community and their unique disciplines. We had people from the Sloan School of Management, from the Schwarzman College of Computing, from Music and Theater Arts, all working together, getting messy, creating tools that sometimes worked … and sometimes didn’t.”

Error and serendipity

The integration of error is a key quality of Refgaard’s work. Occasional glitches are part of the artistry, and they also serve to gently undermine the hype around AI; an algorithm is only as good as its dataset, and that set is inflected by human biases and oversights. During a public artist talk, “Machine Learning and the Arts,” audience members were initiated into Refsgaard’s offbeat artistic paradigm, presented with projects such as Booksby.ai (an online bookstore for AI-produced sci-fi novels), Is it FUNKY? (an attempt to distinguish between “fun” and “boring” images), and Eye Conductor (an interface to play music via eye movements and facial gestures). Glitches in the exhibit installations were frankly admitted (it’s true that “Doodle Tunes” occasionally mistakes a drawing of a saxophone for a squirrel), and Refsgaard encouraged audience members to suggest potential improvements.

This open-minded attitude set the tone of the workshops “Art, Algorithms and Artificial Intelligence” and “Machine Learning for Interaction Designers,” intended to be suitable for newcomers as well as curious experts. Refsgaard’s visits to music technology classes explored the ways that human creativity could be amplified by machine learning, and how to navigate the sliding scale between artistic intention and unexpected outcomes. “As I see it, success is when participants engage with the material and come up with new ideas. The first step of learning is to understand what is being taught — the next is to apply that understanding in ways that the teacher couldn’t have foreseen.”

Uncertainty and opportunity

Refsgaard’s work exemplifies some of the core values and questions central to the evolution of MIT Libraries — issues of digitization, computation, and open access. By choosing to make his lighthearted demos freely accessible, he renounces ownership of his ideas; a machine learning model might serve as a learning device for a student, and it might equally be monetized by a corporation. For Refsgaard, play is a way of engaging with the ethical implications of emerging technologies, and Hall found himself grappling with these questions in the process of creating the sounds for the two installations. “If I wrote the sound samples, but someone else arranged them as a composition, then who owns the music? Or does the AI own the music? It’s an incredibly interesting time to be working in music technology; we’re entering into unknown territory.”

For Refsgaard, uncertainty is the secret sauce of his algorithmic artistry. “I like to make things where I’m surprised by the end result,” he says. “I’m seeking that sweet spot between something familiar and something unexpected.” As he explains, too much surprise simply amounts to noise, but there’s something joyful in the possibility that a machine might mistake a saxophone for a squirrel. The task of a creative coder is to continually tune the relationship between human and machine capabilities — to find and follow the music.

“Doodle Tunes” and “Sounds from the Mouth” are on display in the MIT Lewis Music Library (14E-109) until Dec. 20. Click the links to interact with the projects online.

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