| Audio-Based Auto-Tagging With Contextual Tags for Music K Ibrahim, J Royo-Letelier, E Epure, G Peeters, G Richard International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 | 31 | 2020 |
| Confidence-based weighted loss for multi-label classification with missing labels KM Ibrahim, EV Epure, G Peeters, G Richard Proceedings of the 2020 International Conference on Multimedia Retrieval …, 2020 | 13 | 2020 |
| Intelligibility of Sung Lyrics: A Pilot Study KM Ibrahim, D Grunberg, K Agres, C Gupta, Y Wang International Society for Music Information Retrieval Conference, 2017 | 13 | 2017 |
| Should we consider the users in contextual music auto-tagging models? K Ibrahim, E Epure, G Peeters, G Richard 21st International Society for Music Information Retrieval Conference, 2020 | 8 | 2020 |
| Primary-Ambient Source Separation for Upmixing to Surround Sound Systems KM Ibrahim, M Allam IEEE International Conference on Acoustics, Speech and Signal Processing, 2018 | 8 | 2018 |
| Primary-Ambient Extraction in Audio Signals Using Adaptive Weighting and Principal Component Analysis KM Ibrahim, M Allam Sound and Music Computing, 2016 | 8 | 2016 |
| Identifying and Classifying Arabic Music Genres K Ibrahim, M Allam the Fourth International Workshop on Musical Metacreation, 2016 | 3 | 2016 |
| LTE dimensioning tool using C# KM Ibrahim, M Hano, G George, M Fawzy, G Nagib 2014 9th International Conference on Computer Engineering & Systems (ICCES …, 2014 | 3 | 2014 |
| Exploiting Device and Audio Data to Tag Music with User-Aware Listening Contexts KM Ibrahim, EV Epure, G Peeters, G Richard International Society for Music Information Retrieval Conference, 2022 | 2 | 2022 |
| User-aware music auto-tagging with contextual tags (2020) KM Ibrahim, EV Epure, G Peeters, G Richard | 2 | |
| Towards Improving Speech Emotion Recognition Using Synthetic Data Augmentation from Emotion Conversion KM Ibrahim, A Perzo, S Leglaive International Conference on Acoustics, Speech, and Signal Processing, 2024 | | 2024 |
| Personalized audio auto-tagging as proxy for contextual music recommendation KMA Ibrahim Institut polytechnique de Paris, 2021 | | 2021 |
| Recommending Music for Language Learning: The Problem of Singing Voice Intelligibility KM Ibrahim PQDT-Global, 2018 | | 2018 |
| Empirically Weighing the Importance of Decision Factors When Selecting Music to Sing M Mustaine, KM Ibrahim, C Gupta, Y Wang International Society for Music Information Retrieval Conference (ISMIR), 2018 | | 2018 |
| PRIMARY-AMBIENT SEPARATION OF AUDIO SIGNALS KM Ibrahim Nile University, 2016 | | 2016 |
Geoffroy PeetersIRCAM, Télécom ParisVerified email at telecom-paris.fr
