Understanding
music and how
people relate to it.
Deezer Research is a team of scientists and
engineers specialized in Music Analysis, Information
Retrieval, Machine Learning and Recommendation.
Modeling the Music Genre Perception across Language-Bound Cultures
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Multilingual Lyrics-to-Audio Alignment
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Should We Consider the Users in Contextual Music Auto-Tagging Models?
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Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation
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Prediction of User Listening Contexts for Music Playlists
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Carousel Personalization in Music Streaming Apps with Contextual Bandits
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Making Neural Networks Interpretable with Attribution
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Spleeter: a Fast and Efficient Music Source Separation Tool with Pre-Trained Models
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Simple and Effective Graph Autoencoders with One-Hop Linear Models
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Muzeeglot: a Web Interface for Visualizing Multilingual Music Genre Embedding Spaces
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Confidence-Based Weighted Loss for Multi-label Classification with Missing Labels
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Audio-Based Detection of Explicit Content in Music
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Audio-Based Auto-Tagging with Contextual Tags for Music
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Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks
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Gravity-Inspired Graph Autoencoders for Directed Link Prediction
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Leveraging Knowledge Bases and Parallel Annotations for Music Genre Translation
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A Degeneracy Framework for Scalable Graph Autoencoders
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Improving Collaborative Metric Learning with Efficient Negative Sampling
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Singing Voice Separation: a Study on Training Data
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Time Warp Invariant Dictionary Learning for Time Series Clustering: Application to Music Data Stream Analysis
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Word2Vec applied to Recommendation: Hyperparameters Matter
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Disambiguating Music Artists at Scale with Audio Metric Learning
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Audio Based Disambiguation of Music Genre Tags
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Music Mood Detection based on Audio and Lyrics with Deep Neural Net
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Large-Scale Cover Song Detection in Digital Music Libraries Using Metadata, Lyrics and Audio Features
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WASABI: a Two Million Song Database Project with Audio and Cultural Metadata plus WebAudio enhanced Client Applications
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Codec Independent Lossy Audio Compression Detection
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