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Musimap’s Origin Story

Interdisciplinary human expertize is the backbone of Musimap’s technology

Finding its roots in a PhD on musical morphing from the University of Louvain (Louvain-la-Neuve, Belgium) back in 1986, Musimap’s technology has been developed by 60 renowned musicians, musicologists, sociologists, psychologists, and philosophers.

Together, they mapped the global music library as a detailed map of the history of music, that soon evolved into a self-learning, contexte-aware neuronal music network.

Over the past years, the algorithm has been continuously improved to meet current and future technological standard and application requirements.

Our Technology

How we proceed?

We perform analysis any client’s catalog of music to extract information about genres, sub-styles, vocalness, complex moods, contextual situations and dozens of other parameters.

Musimap’s APIs scan its proprietary database in a fraction of a second and match the data with any client’s catalog to allow unprecedented accuracy in music recommendation and the creation of advanced music applications.

Why we are unique?

Weighted tags extraction from audio files
Full automation on any catalog size
Latest machine learning and deep learning technologies
Robust and scalable cloud architecture
Easy access through our set of API’s
Strong metadata accuracy including moods and situations

9
acoustic attributes

4145
keywords

67
genres

68
situations

59
moods

MusiMatch

Audio-Based Similarity Engine

What is it?

This new Audio Similarity Engine listens to and comprehends music in the same way people do, then searches millions of music tracks for particular acoustic patterns, matching your requirements to find the music you need within seconds. You can even search for instrumental or vocal tracks only.

What’s the technology like?

Musimap uses advanced Machine Learning and Deep Learning technologies to understand the meaningful content of music from the audio, looking beyond simple textual language and labels to achieve a human-like level of comparison. Capturing the musically essential information from the audio signal, our revolutionary algorithms learn to understand rhythm, beats, styles, genres and even mood in music.

Who is it for?

Easily accessible through our API, MusiMatch is the scalable solution to your search and recommendation problems. Whether you are a music or video streaming service, digital or linear radio, label, library, publisher, in-store music provider or sync agency, MusiMatch will empower your company with innovative matching capabilities.

How does it work?

Simply select a seed track you want and MusiMatch will do the rest!

Textual search in your catalog
File upload (e.g. mp3)
An external link to an audio file

Try it live against our demo catalog.

MusiMotion

Tagging Engine - Moods and Beyond!

What is it?

MusiMotion leverages AI to enrich metadata, tagging tracks with weighted moods, genres, situations and musical attributes such as key and BPM. Our advanced tagging can enhance existing tools and services or form the foundations to develop new, innovative music applications. Mood-based radio? Emotion-sensitive playlisting? Smart speaker apps? MusiMotion can facilitate all this and more!

What’s the technology like?

Musimap uses advanced Deep Learning technologies to understand the meaningful content of music from the audio to achieve a human-like level of comparison. Our emotion-sensitive algorithm predicts relevant moods, genres, contextual situations and other key attributes, and assigns weighted relevancy scores (%).

Who is it for?

MusiMotion is the scalable solution to your curation, classification and recommendation problems. Whether you are a music or video streaming service, digital and linear radio, label, publisher, library or in-store music provider, MusiMotion will empower your music company with a unique level of metadata, necessary to position you at the forefront of music intelligence and product development.

How does it work?

MusiMotion analyzes your catalog and tags each track with corresponding metadata. All you have to do is provide us with access to your catalog and the engine will do the rest. Try it live on a single track.

Want to see all the tags you can use?

MusiMe

Psychographic Profiling Technology

What is it?

Is your customer self-aware or spiritual? Does he like exercise or travelling? Our emotion-sensitive algorithm can predict automatically all this and more from the music he loves, looking beyond preferences and behavior. This new technology provides an enriched understanding of your customers and opens unique personalized recommendation possibilities.

What’s the technology like?

Musimap uses the latest Deep Learning techniques and a neural network-like database composed of 3B+ data points, 2B relations 35M songs and 4.3M artists to analyse a person’s music tastes and listening habits. Our algorithm retrieves the psych-emotional portrait of user, complementing your existing demographic and behavioral statistics to create a complete and evolutive user profile.

Who is it for?

MusiMe is the scalable solution to your recommendation and audio-branding problems. Whether you are a music or video streaming service, digital or linear radio, FMCG/CPG, advertiser, creative agency, dating company, in-store music provider or in E-commerce, MusiMe will empower your company with innovative profiling capabilities and deepen your connection with your customers.

How does it work?

All we need is a thread of music tracks (e.g. a list of UIDs) for each anonymized user and MusiMe will do the rest. No more personal data required!
Try it live on a single track.

Interested?

21 days free trial
to discover our products!

I want to try!

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