MusiMatch leverages AI to match and find musically similar tracks. 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.
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.
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.
Simply select a seed track you want matched via:
MusiMatch will do the rest!
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MusiMotion leverages AI to enrich metadata, tagging tracks with weighted moods, emotions and musical attributes such as genre, key and BPM. Born from 20 years of research by an esteemed team of musicologists, psychologists and sociologists, 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!
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 (%).
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.
MusiMotion analyzes your catalogue and tags each track with corresponding metadata. All you have to do is provide us with access to your catalogue and the engine will do the rest.
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MusiMe leverages Emotional Artificial Intelligence (E.A.I.) to detect a music listener’s emotional signature, focusing on the moods, feelings and values that define humans’ multi-layered personalities. 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. MusiMe is the perfect tool to increase customer trust, interaction and satisfaction, and to create audio-branding campaigns resonating with users.
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. Through analyzing a user’s listening history, our revolutionary algorithm can generate :
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.
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!
Want to see MusiMe in action?
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