Understanding Individual and Collective Diversity of Cultural Consumption through Large-Scale Music Listening Events
CHR - 2023
Track Mix Generation on Music Streaming Services using Transformers
RecSys - 2023
On the Consistency of Average Embeddings for Item Recommendation
RecSys - 2023
Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect
RecSys - 2023
Of Spiky SVDs and Music Recommendation
RecSys - 2023
Zero-Note Samba: Self-Supervised Beat Tracking
IEEE/ACM Transactions on Audio, Speech, and Language Processing - 2023
Automatic Annotation of Direct Speech in Written French Narratives
ACL - 2023
A Scalable Framework for Automatic Playlist Continuation on Music Streaming Services
SIGIR - 2023
Attention Mixtures for Time-Aware Sequential Recommendation
SIGIR - 2023
Pauzee : Pauses Prediction in Text Reading
TALN - 2023
A Human Subject Study of Named Entity Recognition (NER) in Conversational Music Recommendation Queries
EACL - 2023
Data-Efficient Playlist Captioning With Musical and Linguistic Knowledge
EMNLP - 2022
New Frontiers in Graph Learning: Joint Community Detection and Link Prediction
NeurIPS GLFrontiers - 2022
Learning Unsupervised Hierarchies of Audio Concepts
ISMIR - 2022
Exploiting Device and Audio Data to Tag Music with User-Aware Listening Contexts
ISMIR - 2022
Network Analyses for Cross-Cultural Music Popularity
ISMIR - 2022
Flow Moods: Recommending Music by Moods on Deezer
RecSys - 2022
Discovery Dynamics: Leveraging Repeated Exposure for User and Music Characterization
RecSys - 2022
Improving Transformers with Probabilistic Attention Keys
ICML - 2022
Navigational, Informational or Punk-Rock? An Exploration of Search Intent in the Musical Domain
UMAP - 2022
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction
Neural Networks - 2022
Probing Pre-trained Auto-regressive Language Models for Named Entity Typing and Recognition
LREC - 2022
FlowVocoder: A small Footprint Neural Vocoder based Normalizing Flow for Speech Synthesis
INTERSPEECH - 2022
Uplifting Interviews in Social Science with Individual Data Visualization: the Case of Music Listening
CHI - 2022
Topic Modeling on Podcast Short-Text Metadata
ECIR - 2022
Explainability in Music Recommender Systems
AI Magazine - 2022
The Words Remain the Same: Cover Detection With Lyrics Transcription
ISMIR - 2021
User-centered evaluation of lyrics to audio alignment
ISMIR - 2021
Are Metal Fans Angrier than Jazz Fans? A Genre-Wise Exploration of the Emotional Language of Music Listeners on Reddit
ISMIR NLP4MusA - 2021
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders
RecSys - 2021
Hierarchical Latent Relation Modeling for Collaborative Metric Learning
RecSys - 2021
Follow the Guides: Disentangling Human and Algorithmic Curation in Online Music Consumption
RecSys - 2021
A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps
KDD - 2021
Visualyre: Multimodal Visualization of Lyrics
Audio Mostly - 2021
Towards Rigorous Interpretations: a Formalisation of Feature Attribution
ICML - 2021
Singing Language Identification using a Deep Phonotactic Approach
ICASSP - 2021
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding
Neural Networks - 2021
The WASABI Dataset: Cultural, Lyrics and Audio Analysis Metadata about 2 Million Popular Commercially Released Songs
ESWC - 2021
Many-to-Many Voice Conversion based Feature Disentanglement using Variational Autoencoder
INTERSPEECH - 2021
Modeling the Music Genre Perception across Language-Bound Cultures
EMNLP - 2020
Multilingual Lyrics-to-Audio Alignment
ISMIR - 2020
Should We Consider the Users in Contextual Music Auto-Tagging Models?
ISMIR - 2020
Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation
ISMIR - 2020
Prediction of User Listening Contexts for Music Playlists
ISMIR NLP4MusA - 2020
Carousel Personalization in Music Streaming Apps with Contextual Bandits
RecSys - 2020
Making Neural Networks Interpretable with Attribution
RecSys - 2020
Spleeter: a Fast and Efficient Music Source Separation Tool with Pre-Trained Models
Journal of Open Source Software - 2020
Simple and Effective Graph Autoencoders with One-Hop Linear Models
ECML-PKDD - 2020
Muzeeglot: a Web Interface for Visualizing Multilingual Music Genre Embedding Spaces
JEP-TALN-RECITAL - 2020
Confidence-Based Weighted Loss for Multi-label Classification with Missing Labels
ICMR - 2020
Audio-Based Detection of Explicit Content in Music
ICASSP - 2020
Audio-Based Auto-Tagging with Contextual Tags for Music
ICASSP - 2020
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks
NeurIPS GRL - 2019
Gravity-Inspired Graph Autoencoders for Directed Link Prediction
CIKM - 2019
Leveraging Knowledge Bases and Parallel Annotations for Music Genre Translation
ISMIR - 2019
A Degeneracy Framework for Scalable Graph Autoencoders
IJCAI - 2019
Improving Collaborative Metric Learning with Efficient Negative Sampling
SIGIR - 2019
Singing Voice Separation: a Study on Training Data
ICASSP - 2019
Time Warp Invariant Dictionary Learning for Time Series Clustering: Application to Music Data Stream Analysis
ECML-PKDD - 2018
Word2Vec applied to Recommendation: Hyperparameters Matter
RecSys - 2018
Disambiguating Music Artists at Scale with Audio Metric Learning
ISMIR - 2018
Audio Based Disambiguation of Music Genre Tags
ISMIR - 2018
Music Mood Detection based on Audio and Lyrics with Deep Neural Net
ISMIR - 2018
Large-Scale Cover Song Detection in Digital Music Libraries Using Metadata, Lyrics and Audio Features
ISMIR Late-Breaking Demo - 2018
WASABI: a Two Million Song Database Project with Audio and Cultural Metadata plus WebAudio enhanced Client Applications
WAC - 2017
Codec Independent Lossy Audio Compression Detection
ICASSP - 2017