Scientifically harnessing the power of music

MIIR is scientifically validated software created by combining music and neuroscience to discover a way to find the most impactful moments of recorded songs and generate brand-new music metadata.

The Technology

MIIR identifies the portions of a recorded song that make the greatest impact on a listener. It works by extracting musical data such as texture, dynamics, and harmonics to identify the moments that elicit emotional and physical responses - the moments that give us “the chills.”

» Software that detects impactful moments in music

» Proprietary algorithm

» Cloud-based processing platform

» New music metadata & filters providing better, faster, search

» Science based personal music recommendations

New Metadata Visualized

After MIIR analyzes a recorded song, it produces brand-new music metadata.

Identifying primary and secondary Chill PhrasesTM for companies with large music catalogs, advertising agencies, music streamers, and social media platforms provides marketing opportunities, reduces advertising expenses, and improves music clip recommendations.

The MIIR Product Suite

Audio Journey

The impact plot of a song from beginning to end, showcasing the musical journey.

Chill Phrase

Timecode regions indicating the most impactful sections of a recorded song. Sections that are most likely to elicit emotional, physical and autonomic reactions.

GLIPH Music DNA

Chill-eliciting events such as crescendos, melodic peaks, instrument changes, and more of recorded songs.

Chill Index

A metadata filter that identifies which songs are more impactful over another in any song catalog.

Tuners

An innovative way to filter music by dialing-in specific sound preferences.

Presets

Scientifically curated music discovery filters for desired mood and wellness states.

MIIR Advanced Filters

MIIR advanced customization filters are a collection of over 120 engineering filters that are individual metrics derived from the direct analysis of music audio files. These metrics represent a wide variety of characteristics about any given piece of music.

A few examples of the filters are:

● Roughness

● Repetitiveness

● Peak Moment Percent

● Peak Moment Length

● Timbre Profile

● Rhythm Profile

● Sparseness/Density

● Complexity

Advanced Filter Use Cases

Combining and stacking the filters allows for the creation of a vast array of resulting categorizations. These categorizations, derived from combining the filters in various ways, can be utilized for the following:

● Classification for target mood states:

Music can be categorized based on its intrinsic characteristics which research shows can affect an individual’s mood or physiological state.

● Recommendation systems and personalized playlists:

MIIR filters can be used to identify similar songs and create personalized playlists.

● Media and entertainment:

MIIR filters can be used to find music that fits highly specific criteria (climactic arc of a specific length, specific impact trajectory, or specific kind of complexity on a continuum)

MIIR Performance

» Processes digital recordings (over 1M songs per day)

» Analyzing over 150 musical instances on average per song using proprietary weighting and data processing sequences

» 120+ Advanced customization filters

» Patented system for extracting music metadata

The Science

Music Gives Us the Chills

The “chill response” is an instinctive emotional and physical reaction that can be evoked from a variety of sources, music being the most powerful.

“Chills involve physiological arousal and the reward system of the brain. They are linked to acoustic, musical, and emotional cues as well as openness to experience.”

Rémi de Fleurian and Marcus T. Pearce
from the “Chills in music: An integrative review” (in press)

Music changes Our Mood

“Many of us turn to music for emotional support.”

“Music can trigger emotions and... it can pull people with Alzheimer’s out of their closed-in world and help them to re-engage with life and their surroundings.”

Daniel J. Levitin, PhD Chief Science Advisor & Co-Inventor

from his book "Successful Aging”